Process a Document

POST 
/api/v8/partner/documents

Veryfi's Process Documents endpoint allows you to submit and extract data from unstructured documents into valuable business insights. The Process Documents endpoint enables you to submit supported file formats and retrieve extracted data in JSON format. Veryfi supports the following file formats: .heic,.png,.csv,.ofd,.xls,.jpeg,.html,.pdf,.gif,.htm,.zip,.xlsx,.txt,.jpg,.avif,.heif,.webp. The minimum file size is 0kb, but for txt files, there is no minimum file size. The maximum file size is 20mb. The maximum number of pages that can be processed at once is 15.

Request

application/json

Body

package_path string

Possible values: non-empty

A path to a file in an S3 bucket, e.g. 'some/receipt.jpg

bucket string

Possible values: non-empty

An S3 bucket for 'package_path', e.g. 'documents'.

file_data string

Possible values: non-empty

Used to upload a document via base64 encoded string, could be raw or data URI scheme. This is the least effective way to upload a document for processing. See file_urls or uploading zip files.

file_url string

Possible values: non-empty

A URL to a publicly accessible document to be sent to Veryfi for processing.

file_urls string[]

Possible values: non-empty

An array of URLs to publicly accessible documents to be sent to Veryfi for processing.

file_name string

Possible values: non-empty

An optional filename. Useful to determine file type.

external_id string

A custom identification value. Use this if you would like to assign your own ID to documents. This parameter is useful when mapping this document to a service or resource outside Veryfi.

bounding_boxes boolean

A field used to determine whether or not to return bounding_box and bounding_region for extracted fields in the Document response.

confidence_details boolean

A field used to determine whether or not to return the score and ocr_score fields in the Document response.

detailed booleandeprecated

This field was deprecated on 2023-08-20. Use bounding_boxes and confidence_details.

categories string[]

Possible values: non-empty

Default value: ``

A comma separated list of custom categories. Veryfi will attempt to match line items with the specified categories. Does not work with the parameter boost_mode set to true.

tags string[]

Possible values: non-empty

Default value: ``

A user-defined list of identifiers that help to categorize or flag particular types of documents. The Document object can have multiple tags. You can create tags by API or in Hub.

max_pages_to_process integer

The number of pages to process for the document. The default limit is 15 pages per document.

boost_mode boolean

Default value: false

A parameter indicating whether or not boost mode should be enabled. Boost mode skips data enrichment steps allowing for faster processing time. The default value for boost_mode is false.

async boolean

Default value: false

A parameter used to process files asynchronously using webhooks. Set async to true to use async mode. The default value is false.

detect_blur booleandeprecated

Default value: false

A parameter used to determine whether or not the uploaded document is blurry or not. This field is deprecated, use meta.pages.is_blurry.

parse_address boolean

Default value: false

A parameter used to determine whether or not to break an address into its individual components. This adds parsed_address to the response object.

crop_document boolean

A parameter used to determine whether or not disable document cropping. Cropping is on by default

compute boolean

Default value: true

A parameter used to determine whether or not to include enrichments on several fields to provide high extraction coverage when the data is not present or extracted from the document. The default value is true.

country string

Possible values: [GR, JO, EH, GI, HK, VC, CM, ZA, BJ, PF, SC, BF, ET, AT, TR, RU, QA, NF, MX, GY, MZ, GP, RS, CZ, GU, TK, GN, ID, JM, KG, IT, GT, AS, AF, RE, BL, ES, SE, PA, VE, CI, NU, AI, LC, GW, SN, KR, KP, BD, AE, PH, BO, BE, UA, BW, CO, DZ, PS, MR, SH, TT, PG, KM, SM, WF, MF, DM, UM, CX, PY, KN, BR, AX, EC, LU, TC, OM, MM, DO, BY, IO, IE, SA, SZ, LR, MS, SV, CA, VA, GF, HM, AL, NG, LK, KI, GB, AR, UG, PW, AN, TF, NO, PE, BM, DE, UZ, VU, TN, SI, IN, SY, BN, GL, GA, MT, HR, YT, PT, GH, NA, TG, LY, AW, TJ, NR, FK, NZ, BV, HN, MY, LA, DK, MP, HU, KE, PM, TZ, LI, AQ, ME, PL, MV, TM, IM, GM, MQ, BI, ZW, CU, BS, BG, CN, EE, JP, MK, MW, ST, SG, KY, PK, UY, NL, SB, MD, US, MA, TH, SL, AU, NP, VI, CH, CF, MU, ZM, IS, BZ, CG, WS, CK, BH, SK, EG, GQ, BA, KZ, ML, MC, GS, ER, VG, CY, YE, LV, JE, PN, GE, SR, IR, MH, SO, TV, VN, AG, FM, FR, GG, HT, AZ, CL, LT, RW, NI, FI, CV, GD, SJ, TO, LB, AM, TD, KW, MG, KH, CR, FO, MN, LS, IQ, PR, SD, TW, TL, AO, CD, NC, CC, MO, BB, FJ, DJ, RO, IL, NE, AD, BT]

A parameter used to provide an additional hint to help the model recognize the currency of the document.

emailed_receipt_id integer
receipt_id integer
document_type string

Possible values: [check, credit_note, invoice, long_receipt, other, purchase_order, receipt, statement, w8, w9, remittance_advice, contract]

auto_delete boolean

Delete this document from Veryfi after data has been extracted

device_data object

Device data vocab to help with fraudulent data

uuid string

Possible values: Value must match regular expression ^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$

Device unique identifier

browser_fingerprint object

Browser identifying characteristics

property name* any

Browser identifying characteristics

source string

Manually defined source

user_uuid string

Possible values: Value must match regular expression ^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$

Unique user identifier, like a digital fingerprint (hashed login) used to access the app where they upload their documents. Used in fraud detection.

meta object

Any request, device or document metadata to store, like uploading speed, etc.

upload_time_s number

Possible values: >= 0.001 and <= 1800

Uploading time in seconds

multipart/form-data

Body

package_path string

Possible values: non-empty

A path to a file in an S3 bucket, e.g. 'some/receipt.jpg

bucket string

Possible values: non-empty

An S3 bucket for 'package_path', e.g. 'documents'.

file_data string

Possible values: non-empty

Used to upload a document via base64 encoded string, could be raw or data URI scheme. This is the least effective way to upload a document for processing. See file_urls or uploading zip files.

file_url string

Possible values: non-empty

A URL to a publicly accessible document to be sent to Veryfi for processing.

file_urls string[]

Possible values: non-empty

An array of URLs to publicly accessible documents to be sent to Veryfi for processing.

file_name string

Possible values: non-empty

An optional filename. Useful to determine file type.

external_id string

A custom identification value. Use this if you would like to assign your own ID to documents. This parameter is useful when mapping this document to a service or resource outside Veryfi.

file binary

A binary file. Submitting zipped documents through this parameter is the fastest way to process any document.

bounding_boxes boolean

A field used to determine whether or not to return bounding_box and bounding_region for extracted fields in the Document response.

confidence_details boolean

A field used to determine whether or not to return the score and ocr_score fields in the Document response.

detailed booleandeprecated

This field was deprecated on 2023-08-20. Use bounding_boxes and confidence_details.

categories string[]

Possible values: non-empty

Default value: ``

A comma separated list of custom categories. Veryfi will attempt to match line items with the specified categories. Does not work with the parameter boost_mode set to true.

tags string[]

Possible values: non-empty

Default value: ``

A user-defined list of identifiers that help to categorize or flag particular types of documents. The Document object can have multiple tags. You can create tags by API or in Hub.

max_pages_to_process integer

The number of pages to process for the document. The default limit is 15 pages per document.

boost_mode boolean

Default value: false

A parameter indicating whether or not boost mode should be enabled. Boost mode skips data enrichment steps allowing for faster processing time. The default value for boost_mode is false.

async boolean

Default value: false

A parameter used to process files asynchronously using webhooks. Set async to true to use async mode. The default value is false.

detect_blur booleandeprecated

Default value: false

A parameter used to determine whether or not the uploaded document is blurry or not. This field is deprecated, use meta.pages.is_blurry.

parse_address boolean

Default value: false

A parameter used to determine whether or not to break an address into its individual components. This adds parsed_address to the response object.

crop_document boolean

A parameter used to determine whether or not disable document cropping. Cropping is on by default

compute boolean

Default value: true

A parameter used to determine whether or not to include enrichments on several fields to provide high extraction coverage when the data is not present or extracted from the document. The default value is true.

country string

Possible values: [GR, JO, EH, GI, HK, VC, CM, ZA, BJ, PF, SC, BF, ET, AT, TR, RU, QA, NF, MX, GY, MZ, GP, RS, CZ, GU, TK, GN, ID, JM, KG, IT, GT, AS, AF, RE, BL, ES, SE, PA, VE, CI, NU, AI, LC, GW, SN, KR, KP, BD, AE, PH, BO, BE, UA, BW, CO, DZ, PS, MR, SH, TT, PG, KM, SM, WF, MF, DM, UM, CX, PY, KN, BR, AX, EC, LU, TC, OM, MM, DO, BY, IO, IE, SA, SZ, LR, MS, SV, CA, VA, GF, HM, AL, NG, LK, KI, GB, AR, UG, PW, AN, TF, NO, PE, BM, DE, UZ, VU, TN, SI, IN, SY, BN, GL, GA, MT, HR, YT, PT, GH, NA, TG, LY, AW, TJ, NR, FK, NZ, BV, HN, MY, LA, DK, MP, HU, KE, PM, TZ, LI, AQ, ME, PL, MV, TM, IM, GM, MQ, BI, ZW, CU, BS, BG, CN, EE, JP, MK, MW, ST, SG, KY, PK, UY, NL, SB, MD, US, MA, TH, SL, AU, NP, VI, CH, CF, MU, ZM, IS, BZ, CG, WS, CK, BH, SK, EG, GQ, BA, KZ, ML, MC, GS, ER, VG, CY, YE, LV, JE, PN, GE, SR, IR, MH, SO, TV, VN, AG, FM, FR, GG, HT, AZ, CL, LT, RW, NI, FI, CV, GD, SJ, TO, LB, AM, TD, KW, MG, KH, CR, FO, MN, LS, IQ, PR, SD, TW, TL, AO, CD, NC, CC, MO, BB, FJ, DJ, RO, IL, NE, AD, BT]

A parameter used to provide an additional hint to help the model recognize the currency of the document.

emailed_receipt_id integer
receipt_id integer
document_type string

Possible values: [check, credit_note, invoice, long_receipt, other, purchase_order, receipt, statement, w8, w9, remittance_advice, contract]

auto_delete boolean

Delete this document from Veryfi after data has been extracted

device_data object

Device data vocab to help with fraudulent data

uuid string

Possible values: Value must match regular expression ^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$

Device unique identifier

browser_fingerprint object

Browser identifying characteristics

property name* any

Browser identifying characteristics

source string

Manually defined source

user_uuid string

Possible values: Value must match regular expression ^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$

Unique user identifier, like a digital fingerprint (hashed login) used to access the app where they upload their documents. Used in fraud detection.

meta object

Any request, device or document metadata to store, like uploading speed, etc.

upload_time_s number

Possible values: >= 0.001 and <= 1800

Uploading time in seconds

Responses

201

The processed document response. Fields with an asterisk will be returned. Contact support to enable any additional fields on your account.

application/json

Schema

Schema

anyOf
DetailedDocument
external_id string
Possible values: non-empty
A custom identification value. Use this if you would like to assign your own ID to documents. This parameter is useful when mapping this document to a service or resource outside Veryfi.
pdf_url uri
Possible values: non-empty and <= 2083 characters
A signed URL to access the auto-generated PDF created from the submitted document. This URL expires 15 minutes after the response object is returned and is resigned during every GET request.
id integerrequired
The unique number created to identify the document.
created_date date-time
The date and time the invoice or receipt was first submitted and processed in ISO 8601 format.
updated_date date-time
The date and time when the last update was made to the Document object in ISO 8601 format.
img_thumbnail_url uri
Possible values: non-empty and <= 2083 characters
A signed URL to access the auto-generated thumbnail created for the submitted document. This URL expires 15 minutes after the response object is returned and is resigned during every GET request.
accounting_entry_type string
Possible values: [debit, credit]
Classifies the document as credit or debit for accounting purposes.
custom_fields object
A user-defined dictionary that contains all the custom fields generated by applying specific rules and regular expressions to the extracted data.
duplicate_of integer
The ID of the first unique Document. This Document has been identified as a duplicate of another Document.
exch_rate number
The exchange rate is calculated by dividing the amount of the currency found on the document by your account's default currency. The exchange rate will be 1 if the document's currency matches your account's default currency or Veryfi cannot find a currency on the document.
img_blur booleandeprecated
The value indicating whether or not the image taken with the Lens SDK is blurry. Please use meta.pages.is_blurry instead
img_file_name string
Possible values: non-empty
The filename and extension for the document submitted to Veryfi for processing. This is the filename and extension for the document hosted on Veryfi.
img_url uri
Possible values: non-empty and <= 2083 characters
A signed URL to the original submitted image or the PDF generated from multiple images. The URL expires 15 minutes after the Document Response is returned and is re-assigned on every GET request.
is_approved boolean
A user-defined flag that can be assigned to the Document object. This parameter is helpful in expense management use cases.
is_blurry boolean[]deprecated
Deprecated. Please use meta.pages.is_blurry instead
is_document boolean
The value indicating whether or not the image submitted for processing is a receipt, invoice, or another supported document type.
is_duplicate boolean
The value indicating whether or not this Document has been identified as a duplicate of another Document on your account.
line_items object[]
A list of the products or services purchased or ordered on the submitted document.
Array [
id integerrequired
The unique number created to identify the Line Item object.
order integerrequired
The value indicating the position of where the line item appears on the document.
tags string[]
Possible values: non-empty
A user-defined list of identifiers that help to categorize or flag particular types of line items.
text stringrequired
Possible values: non-empty and <= 1000 characters
The complete text returned for the line item, including prices, dates, etc.
type stringrequired
Possible values: [room, tax, parking, service, fee, delivery, product, food, alcohol, tobacco, transportation, fuel, refund, discount, payment, giftcard, donation, toll, lottery]
The classification of the product. The line type predicted by Veryfi, e.g. food.
product_info object
Line item extra product info
anyOf
LineItemInfo
expanded_description stringrequired
Possible values: non-empty
brand stringrequired
Possible values: non-empty
category string[]required
Possible values: non-empty
EmptyDict
date date
The date found on the document and associated with the line item in ISO 8601 format.
description stringrequired
Possible values: non-empty and <= 1000 characters
The product or service's extracted name or description excluding date and price.
full_description string
Possible values: non-empty and <= 1000 characters
The item text including dates, weight, etc.
normalized_description string
Possible values: non-empty
The line item description with expanded words
discount_price number
The lower price after discount.
discount_rate number
The discount percentage that was applied to the line item.
discount number
The amount deducted from the total price for the line item.
price number
The unit price for the line item.
quantity number
The amount or number of units for the line item. This value is computable.
reference string
Possible values: non-empty
section string
Possible values: non-empty
A grouping indicated by formatted text on the receipt or invoice.
sku string
Possible values: non-empty
The Stock Keeping Unit (SKU) is the unique code associated with the product for the line item.
tax_rate number
The percent at which the individual or corporation is taxed for the line item.
tax number
The amount at which the individual or corporation is taxed for the product on this line item.
total number
The total price for this line item. This value is computable.
subtotal number
Total charges and credits before tip and tax, if applicable. This value is computable.
unit_of_measure string
Possible values: non-empty
The unit of measurement for this line item.
category string
Possible values: non-empty
The category is taken from the line item with the same SKU and/or description. Otherwise from the root category field.
country_of_origin string
Possible values: [GR, JO, EH, GI, HK, VC, CM, ZA, BJ, PF, SC, BF, ET, AT, TR, RU, QA, NF, MX, GY, MZ, GP, RS, CZ, GU, TK, GN, ID, JM, KG, IT, GT, AS, AF, RE, BL, ES, SE, PA, VE, CI, NU, AI, LC, GW, SN, KR, KP, BD, AE, PH, BO, BE, UA, BW, CO, DZ, PS, MR, SH, TT, PG, KM, SM, WF, MF, DM, UM, CX, PY, KN, BR, AX, EC, LU, TC, OM, MM, DO, BY, IO, IE, SA, SZ, LR, MS, SV, CA, VA, GF, HM, AL, NG, LK, KI, GB, AR, UG, PW, AN, TF, NO, PE, BM, DE, UZ, VU, TN, SI, IN, SY, BN, GL, GA, MT, HR, YT, PT, GH, NA, TG, LY, AW, TJ, NR, FK, NZ, BV, HN, MY, LA, DK, MP, HU, KE, PM, TZ, LI, AQ, ME, PL, MV, TM, IM, GM, MQ, BI, ZW, CU, BS, BG, CN, EE, JP, MK, MW, ST, SG, KY, PK, UY, NL, SB, MD, US, MA, TH, SL, AU, NP, VI, CH, CF, MU, ZM, IS, BZ, CG, WS, CK, BH, SK, EG, GQ, BA, KZ, ML, MC, GS, ER, VG, CY, YE, LV, JE, PN, GE, SR, IR, MH, SO, TV, VN, AG, FM, FR, GG, HT, AZ, CL, LT, RW, NI, FI, CV, GD, SJ, TO, LB, AM, TD, KW, MG, KH, CR, FO, MN, LS, IQ, PR, SD, TW, TL, AO, CD, NC, CC, MO, BB, FJ, DJ, RO, IL, NE, AD, BT]
The country of manufacture, production, design, or brand origin where the product comes from.
custom_fields object
A user-defined dictionary that contains all the custom fields generated by applying specific rules and regular expressions to the extracted data.
product_details object[]
Product lookup details
Array [
avg_price numberrequired
The average price of the product
brand stringrequired
Possible values: non-empty
The brand name of the product
ean stringrequired
Possible values: non-empty
European Article Number (EAN) of the product
extra_fields objectrequired
Additional fields for the product details
property name* any
Additional fields for the product details
gtin_14 stringrequired
Possible values: non-empty
Global Trade Item Number (GTIN-14) of the product
match_score numberrequired
Possible values: <= 1
The match score of the product
image stringrequired
Possible values: non-empty
The image URL of the product
image_url stringrequired
Possible values: non-empty
Alternative field for the image URL of the product
product_name stringrequired
Possible values: non-empty
The name of the product
segment stringrequired
Possible values: non-empty
The market segment of the product
veryn stringrequired
Possible values: non-empty
The veryn identifier of the product
]
end_date date
A service end date identified for the line item in ISO 8601 format.
gross_total number
The line item total before deductions.
hsn string
Possible values: non-empty
The Harmonized System Nomenclature (HSN) found for the line item.
lot string
Possible values: non-empty
The batch or lot number for the line item.
start_date date
A service start date identified for the line item in ISO 8601 format.
tax_code string
Possible values: non-empty
The classification of goods and services for tax purposes for the line item.
manufacturer string
Possible values: non-empty
The name of the manufacturer of the product for the line item.
net_total number
The line item total after deductions.
upc string
Possible values: non-empty
The Universal Product Code (UPC), European Article Number (EAN), or Global Trade Item Number (GTIN) found for the line item on this document will be placed in this field.
weight string
Possible values: non-empty
The weight of the item for the line item. Usually found on logistic invoices.
]
tax_lines object[]
A detailed breakdown of tax elements usually found in a tax table.
Array [
order integerrequired
The arrangement of tax lines in relation to each other.
name stringrequired
Possible values: non-empty
The name of the sales tax type.
rate numberrequired
The tax rate (percentage) applied to the base amount. This value is computable.
total numberrequired
The total amount of tax charged for this particular tax line item. If the document has multiple taxes on it those taxes will be returned in the list inside the taxes field. Note there are a couple of countries in the world that have 3 decimal places after the dot.
base numberrequired
The base amount of the tax applied.
code string
Possible values: non-empty
The tax identification code.
total_inclusive number
The base rate + tax amount.
]
model string
Possible values: non-empty
The data extraction model version number that was used to process the document.
notes string
Possible values: non-empty
A user-defined text field that can be used to add any additional document-level information.
ocr_text string
The text returned from converting the document into a machine-readable text format.
payment_links string[]
Possible values: non-empty
Document payments links, included pdf hidden links
reference_number stringdeprecated
Possible values: non-empty
Deprecated. Use id.
status string
Possible values: [processed, reviewed, archived]
The value indicating the document's status.
tags object[]
A user-defined list of identifiers that help to categorize or flag particular types of documents. The Document object can have multiple tags. You can create tags by API or in Hub.
Array [
id integerrequired
The ID of the tag.
name stringrequired
Possible values: non-empty
The name of the tag.
]
total_pages integerdeprecated
Deprecated. Use meta.total_pages.
warnings string[]
Possible values: non-empty
An array of insights that highlight unusual behavior found on a document.
meta objectrequired
An object that describes document-related metadata information such as total pages.
owner stringrequired
Possible values: non-empty
The API username for the account that processed the document.
total_pages integerrequired
The total number of pages found in the submitted document.
processed_pages integerrequired
The number of processed pages for the document. The default limit is 15 pages per document. Use max_processed_pages on the POST request to update the limit.
pages object[]required
Array [
height integerrequired
width integerrequired
language object[]required
Page languages in BCP-47 language tag, starting with the most confident prediction.
Array [
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
]
screenshot object
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
type stringrequired
Possible values: [mobile_screenshot, other_screenshot, ai_generated]
The predicted value of the screenshot type if the document is a screenshot.
is_blurry object
The processed page is blurry or not
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value booleanrequired
The extracted value.
]
source_documents object[]required
An array containing meta info about originally submitted documents
Array [
size_kb integerrequired
height integerrequired
width integerrequired
exif object
EXIF data from the source document
property name* any
EXIF data from the source document
]
fraud object
An object that contains additional information to help check for fraud. Does not work with the parameter boost_mode set to true.
attribution string
Possible values: non-empty
Attribution of Fraud Detector's decision
decision string
Possible values: non-empty
Fraud Detector's decision
color string
Possible values: [green, yellow, red]
Color from Fraud Detector: green means legitimate, yellow means review needed and red means fraud
pages object[]
An array containing fraud info about each extracted page
Array [
anyOf
FraudPage
is_lcd object
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value booleanrequired
The extracted value.
]
images object[]deprecated
deprecated and will be removed at 2023-11-10. Use meta.fraud.pages instead
Array [
anyOf
LCD
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
is_lcd boolean
The value indicating whether or not the image is a picture of an LCD screen.
]
score number
Possible values: <= 1
Confidence of Fraud Detector in it's prediction
version string
Possible values: non-empty
The Fraud Detector version. The latest version in action while the document was processed. Different versions may have their own ways of calculating the score and deducing the color string value.
submissions object
The amount of submissions from specific device id.
property name* integer
fraudulent_pdf object
Results of the pdf analysis.
property name* number
types string[]
Possible values: [other, handwritten characters, digital tampering, generated document, LCD photo, screenshot, not a document, duplicate, high velocity, fraudulent pdf, critical velocity, similar documents, multiple profiles or devices, fraud history, emulated device, blocked device]
Default value: ``
List of attributions which marked the document as fraud
digital_tampering_fields string[]
Possible values: Value must match regular expression ^(bill_to_email|bill_to_address|final_balance|tax_name|date|due_date|ship_to_name|total_weight|charge_name|total_currency_code|account_number|vendor_account_currency|charge_total|vendor_bank_swift|tax|abn_number|bill_to_vat_number|order_date|bill_to_reg_number|ship_to_address|end_time|previous_balance|vendor_logo_name|vin_number|total|hsn|vendor_web|bill_to_phone_number|start_time|incoterms|summary_name|vending_person_number|invoice_number|delivery|biller_code|insurance|rounding|vendor_iban|tax_base|tax_rate|reference|start_date|tip|vendor_bank_address|vendor_reg_number|time|tracking_number|raw_vendor_name|tax_code|fax_number|vendor_address|cashback|bill_to_name|phone_number|vendor_email|card_number|terms|subtotal|delivery_note_number|summary_total|total_quantity|vendor_bank_number|end_date|ship_date|guest_count|vendor_bank_name|license_plate_number|vat_number|discount|store_number|so_number|po_number|delivery_date|vendor_account_number|vending_person|balance|document_title|total_in_words|line_items\.\d{1,4}\.(?:upc|end_date|tax_rate|coo|discount_price|date|start_date|total|price|hsn|description|discount|tax_code|weight|quantity|taxes|sku|mnf|full_description|tax|balance|section|lot|subtotal|unit_of_measure|discount_rate)|tax_breakdown\.\d{1,4}\.(?:tax_base|tax_rate|tax_name|tax|tax_code|tax_inclusive)|summary\.\d{1,4}\.(?:summary_total|summary_name)|bank_breakdown\.\d{1,4}\.(?:vendor_bank_number|vendor_account_number|vendor_bank_addresses|vendor_iban|vendor_account_currency|vendor_bank_numbers|vendor_bank_address|vendor_bank_swift|vendor_bank_name|vendor_bank_names))$
List of fields which were digitally tampered. Does not work with the parameter boost_mode set to true.
fraud_review object
An object that contains information about the fraud review.
decision string
Possible values: [fraud, not fraud, unknown]
The review decision for the document
types string[]
Possible values: [other, handwritten characters, digital tampering, generated document, LCD photo, screenshot, not a document, duplicate, high velocity, fraudulent pdf]
Default value: ``
What kind of fraud type
warnings object[]
An array of warnings to help catch errors or fraud on the processed document. This is also related to the integrity checks on a document such as subtotal not matching the sum of line item totals. Does not work with the parameter boost_mode set to true.
Array [
type stringrequired
Possible values: [tax_rate_missmatch, item_counts_missmatch, totals_missmatch, line_item_amount_missmatch, line_item_repeats, barcode_decoding_issue, barcode_code_missing_in_ocr, logo_vendor_missmatch, malware]
Type of the warning, e.g. barcode_code_missing_in_ocr. Type is an enumerated field and comes from a defined number of enumerated values.
message stringrequired
Possible values: non-empty
The detailed message about the warning.
]
handwritten_fields string[]
Possible values: Value must match regular expression ^(bill_to_email|bill_to_address|final_balance|tax_name|date|due_date|ship_to_name|total_weight|charge_name|total_currency_code|account_number|vendor_account_currency|charge_total|vendor_bank_swift|tax|abn_number|bill_to_vat_number|order_date|bill_to_reg_number|ship_to_address|end_time|previous_balance|vendor_logo_name|vin_number|total|hsn|vendor_web|bill_to_phone_number|start_time|incoterms|summary_name|vending_person_number|invoice_number|delivery|biller_code|insurance|rounding|vendor_iban|tax_base|tax_rate|reference|start_date|tip|vendor_bank_address|vendor_reg_number|time|tracking_number|raw_vendor_name|tax_code|fax_number|vendor_address|cashback|bill_to_name|phone_number|vendor_email|card_number|terms|subtotal|delivery_note_number|summary_total|total_quantity|vendor_bank_number|end_date|ship_date|guest_count|vendor_bank_name|license_plate_number|vat_number|discount|store_number|so_number|po_number|delivery_date|vendor_account_number|vending_person|balance|document_title|total_in_words|line_items\.\d{1,4}\.(?:upc|end_date|tax_rate|coo|discount_price|date|start_date|total|price|hsn|description|discount|tax_code|weight|quantity|taxes|sku|mnf|full_description|tax|balance|section|lot|subtotal|unit_of_measure|discount_rate)|tax_breakdown\.\d{1,4}\.(?:tax_base|tax_rate|tax_name|tax|tax_code|tax_inclusive)|summary\.\d{1,4}\.(?:summary_total|summary_name)|bank_breakdown\.\d{1,4}\.(?:vendor_bank_number|vendor_account_number|vendor_bank_addresses|vendor_iban|vendor_account_currency|vendor_bank_numbers|vendor_bank_address|vendor_bank_swift|vendor_bank_name|vendor_bank_names))$
List of fields which were handwritten. Does not work with the parameter boost_mode set to true.
device_id string
Possible values: Value must match regular expression ^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$
Fingerprint of the device used to process the document.
device_user_uuid string
Possible values: Value must match regular expression ^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$
Fingerprint of the user who processed the document on a particular device.
duplicates object[]
A list of 10 closest matches
Array [
id integerrequired
url urirequired
Possible values: non-empty and <= 2083 characters
score numberrequired
Possible values: <= 1
How close is the match
]
source string
Possible values: [api.email, api.web, api, lens.bill, lens.invoice, lens.long_receipt, lens.other, lens.receipt, lens.web, lens]
Default value: api
The source of the document's submission for processing.
language object[]required
Document languages in BCP-47 language tag, starting with the most confident prediction.
Array [
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
]
ocr_score numberrequired
Possible values: <= 1
The average OCR score of the whole document.
account_number object
The unique identifier of the customer assigned by the vendor.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
balance object
The invoice or bill balance.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
barcodes object[]
An array of barcodes extracted from the document if found.
Array [
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
data string
Possible values: non-empty
The machine-readable representation of the barcode found on the document.
type string
Possible values: non-empty
The name of the encoding for the barcode. Supported types include: QR Code, PDF417, EAN, UPC, Code128, Code39, I25
]
bill_to object
An object that describes a person or business that is billed for the amount found on the document.
name object
The payer's name found in the billing section of the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
address object
The payer's address found in the billing section of the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
vat_number object
The value-added tax identification number (VAT) for the payer and found on the document. VAT numbers can be found on European invoices. For United States invoices, the Employer Identification Number (EIN) of the payer.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
phone_number object
The payer's phone number found in the billing section of the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
reg_number object
The payer's registration number found in the billing section of the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
email object
The payer's email address found in the billing section of the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
parsed_address object
An object representing detailed address-related information on the document, such as the city, state, street address, unit number, etc. Filled in the original POST request had the parameter parse_address set to true and the corresponding address is found on the document.
building string
Possible values: non-empty
The building name e.g. 'Project 8' or 'Empire State Building'
city string
Possible values: non-empty
The settlement including cities, towns, villages, hamlets, localities, etc.
country string
Possible values: non-empty
The sovereign nations and their dependent territories, anything with an ISO-3166 code.
country_alpha_2 string
Possible values: non-empty
The detected ISO 3166-1 alpha-2 code for a given country.
postcode string
Possible values: non-empty
The postal code used for mail sorting
state string
Possible values: non-empty
A first-level administrative division. Scotland, Northern Ireland, Wales, and England in the UK are mapped to "state" as well
street_address string
Possible values: non-empty
A sum of house_number road, building, unit.
house string
Possible values: non-empty
The venue name e.g. "Brooklyn Academy of Music", and building names e.g. "Empire State Building".
house_number string
Possible values: non-empty
Usually refers to the external (street-facing) building number. In some countries this may be a compound, hyphenated number, which also includes an apartment number, or a block number (a la Japan).
road string
Possible values: non-empty
Street name(s)
unit string
Possible values: non-empty
An apartment, unit, office, lot, or other secondary unit designator.
level string
Possible values: non-empty
The expressions indicating a floor number e.g. "3rd Floor", "Ground Floor", etc.
staircase string
Possible values: non-empty
Numbered/lettered staircase
entrance string
Possible values: non-empty
Numbered/lettered entrance
po_box string
Possible values: non-empty
The post office box, typically found in non-physical (mail-only) addresses.
suburb string
Possible values: non-empty
An unofficial neighborhood name like "Harlem", "South Bronx", or "Crown Heights".
city_district string
Possible values: non-empty
The boroughs or districts within a city that serve some official purpose e.g. "Brooklyn" or "Hackney" or "Bratislava IV".
island string
Possible values: non-empty
Named islands e.g. "Maui"
state_district string
Possible values: non-empty
Usually a second-level administrative division or county.
country_region string
Possible values: non-empty
Informal subdivision of a country without any political status.
world_region string
Possible values: non-empty
Only used for appending "West Indies" after the country name, a pattern frequently used in the English-speaking Caribbean e.g. "Jamaica, West Indies".
cashback object
The amount of cash the customer has withdrawn when making a purchase. Cashback can be found on a receipt but does not appear on invoices.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
category object
A category predicted from sent categories, user categories or default ones.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
confidence_details booleandeprecated
Deprecated on 2024-12-27.
country_code object
The country code of a document, e.g. where it was issued or where the vendor provides services
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: [GR, JO, EH, GI, HK, VC, CM, ZA, BJ, PF, SC, BF, ET, AT, TR, RU, QA, NF, MX, GY, MZ, GP, RS, CZ, GU, TK, GN, ID, JM, KG, IT, GT, AS, AF, RE, BL, ES, SE, PA, VE, CI, NU, AI, LC, GW, SN, KR, KP, BD, AE, PH, BO, BE, UA, BW, CO, DZ, PS, MR, SH, TT, PG, KM, SM, WF, MF, DM, UM, CX, PY, KN, BR, AX, EC, LU, TC, OM, MM, DO, BY, IO, IE, SA, SZ, LR, MS, SV, CA, VA, GF, HM, AL, NG, LK, KI, GB, AR, UG, PW, AN, TF, NO, PE, BM, DE, UZ, VU, TN, SI, IN, SY, BN, GL, GA, MT, HR, YT, PT, GH, NA, TG, LY, AW, TJ, NR, FK, NZ, BV, HN, MY, LA, DK, MP, HU, KE, PM, TZ, LI, AQ, ME, PL, MV, TM, IM, GM, MQ, BI, ZW, CU, BS, BG, CN, EE, JP, MK, MW, ST, SG, KY, PK, UY, NL, SB, MD, US, MA, TH, SL, AU, NP, VI, CH, CF, MU, ZM, IS, BZ, CG, WS, CK, BH, SK, EG, GQ, BA, KZ, ML, MC, GS, ER, VG, CY, YE, LV, JE, PN, GE, SR, IR, MH, SO, TV, VN, AG, FM, FR, GG, HT, AZ, CL, LT, RW, NI, FI, CV, GD, SJ, TO, LB, AM, TD, KW, MG, KH, CR, FO, MN, LS, IQ, PR, SD, TW, TL, AO, CD, NC, CC, MO, BB, FJ, DJ, RO, IL, NE, AD, BT]
currency_code object
The currency code in ISO 4217 format. The exchange_rate field will be enriched if the currency found on the document is different from the account's default currency.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: [RSD, MOP, VEF, AFN, FKP, LTL, MVR, PAB, MNT, LVL, CLP, BMD, AED, GYD, KWD, OMR, KGS, ZAR, XCD, VND, TWD, YER, TRY, SAR, HRK, GIP, BBD, EGP, EEK, KPW, PKR, RUB, GHC, MKD, NGN, TRL, AUD, KYD, MXN, MZN, LBP, NZD, BRL, GBP, LKR, HTG, IMP, MYR, QAR, BOB, BND, NIO, LRD, LAK, RON, EUR, GTQ, USD, ZWD, LSL, BGN, PYG, CNY, SCR, SEK, TVD, KHR, IDR, NAD, UGX, ANG, SRD, ILS, COP, KZT, CHF, SYP, ARS, BYR, SBD, AMD, THB, BWP, GGP, GEL, IQD, NPR, AZN, DKK, PHP, JPY, UYU, GNF, DOP, PLN, BAM, CRC, IRR, SGD, BHD, HUF, CAD, PEN, SVC, JMD, FJD, HKD, JEP, CZK, CUP, AWG, BSD, KRW, SOS, TTD, MUR, ISK, HNL, SHP, NOK, UZS, UAH, BZD, SZL, ALL, INR]
date object
The date and time found on the document in ISO 8601 format. This value is computable.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value date-timerequired
default_category object
The category chosen from a predefined list of categories found on the account. Learn how Veryfi's intelligent categorization, custom categorization, and model training work.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: [other, Job Supplies, Meals & Entertainment, Travel, Automotive, Office Supplies & Software, Food and Groceries, Gifts & Donations, Transportation, Repairs & Maintenance, Utilities, Advertising & Marketing, Legal & Professional Services, Payroll Expenses, Contractors, Rent & Lease, Insurance, Taxes & Licenses, Bank Charges & Fees, Healthcare, Postage & Delivery, Clothing & Shoes, Household, Interest Paid, Training & Education, Dues and Subscriptions]
delivery_date object
The date of an order's delivery in ISO 8601 format. Typically found on invoices.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value date-timerequired
delivery_note_number object
The unique identification number found on the delivery note. Delivery notes have a similar format to invoices but usually titled 'Delivery Note'.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
discount object
The amount deducted from the gross price.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
document_reference_number object
The identification number for the document. Commonly used to identify items for a particular customer.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
document_title object
The title found on the document. The title is usually located at the top of the document. Common examples of document titles include Invoice, Vendor Credit, and Purchase Order.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
document_type object
A classification of the document, such as invoice, purchase_order, receipt, remittance_advice, or other.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: [other, receipt, invoice, statement, purchase_order, check, w9, packing_slip, contract, w8, remittance_advice]
due_date object
The date and time the payment is due for an invoice in ISO 8601 format. This value is computable.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
final_balance number
The invoice balance. If the invoice is paid, the final balance is 0, but if the invoice is not paid, the value is equal to the total.
guest_count object
The number of guests or seats extracted from the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
incoterms object
The incoterms to specify who pays and manages the shipment, insurance, documentation, customs clearance, and other logistics.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
insurance object
The insurance cost. Typically found on invoices.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
invoice_number object
The identification number for the document. Typically found on invoices.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
is_money_in object
This parameter is used in the Expense Management application. The value is true if the document has a refund or credit note.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value booleanrequired
is_transaction object
This flag marks card slips as true.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value booleanrequired
license_plate_number object
The vehicle license plate number.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
line_items_with_scores object[]
A list of the products or services purchased or ordered on the submitted document with confidence details.
Array [
id integerrequired
The unique number created to identify the Line Item object.
order integerrequired
The value indicating the position of where the line item appears on the document.
tags string[]
Possible values: non-empty
A user-defined list of identifiers that help to categorize or flag particular types of line items.
text stringrequired
Possible values: non-empty and <= 1000 characters
The complete text returned for the line item, including prices, dates, etc.
type stringrequired
Possible values: [room, tax, parking, service, fee, delivery, product, food, alcohol, tobacco, transportation, fuel, refund, discount, payment, giftcard, donation, toll, lottery]
The classification of the product. The line type predicted by Veryfi, e.g. food.
product_info object
Line item extra product info
anyOf
LineItemInfo
expanded_description stringrequired
Possible values: non-empty
brand stringrequired
Possible values: non-empty
category string[]required
Possible values: non-empty
EmptyDict
date object
The date found on the document and associated with the line item in ISO 8601 format.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
description object
The product or service's extracted name or description excluding date and price.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
full_description object
The item text including dates, weight, etc.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
normalized_description object
The line item description with expanded words
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
discount_price object
The lower price after discount.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
discount_rate object
The discount percentage that was applied to the line item.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
discount object
The amount deducted from the total price for the line item.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
price object
The unit price for the line item.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
quantity object
The amount or number of units for the line item. This value is computable.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
reference object
A reference number for the line item found on the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
section object
A grouping indicated by formatted text on the receipt or invoice.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
sku object
The Stock Keeping Unit (SKU) is the unique code associated with the product for the line item.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
tax_rate object
The percent at which the individual or corporation is taxed for the line item.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
tax object
The amount at which the individual or corporation is taxed for the product on this line item.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
total object
The total price for this line item. This value is computable.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
subtotal object
Total charges and credits before tip and tax, if applicable. This value is computable.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
unit_of_measure object
The unit of measurement for this line item.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
category object
The category is taken from the line item with the same SKU and/or description. Otherwise from the root category field.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
country_of_origin object
The country of manufacture, production, design, or brand origin where the product comes from.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: [GR, JO, EH, GI, HK, VC, CM, ZA, BJ, PF, SC, BF, ET, AT, TR, RU, QA, NF, MX, GY, MZ, GP, RS, CZ, GU, TK, GN, ID, JM, KG, IT, GT, AS, AF, RE, BL, ES, SE, PA, VE, CI, NU, AI, LC, GW, SN, KR, KP, BD, AE, PH, BO, BE, UA, BW, CO, DZ, PS, MR, SH, TT, PG, KM, SM, WF, MF, DM, UM, CX, PY, KN, BR, AX, EC, LU, TC, OM, MM, DO, BY, IO, IE, SA, SZ, LR, MS, SV, CA, VA, GF, HM, AL, NG, LK, KI, GB, AR, UG, PW, AN, TF, NO, PE, BM, DE, UZ, VU, TN, SI, IN, SY, BN, GL, GA, MT, HR, YT, PT, GH, NA, TG, LY, AW, TJ, NR, FK, NZ, BV, HN, MY, LA, DK, MP, HU, KE, PM, TZ, LI, AQ, ME, PL, MV, TM, IM, GM, MQ, BI, ZW, CU, BS, BG, CN, EE, JP, MK, MW, ST, SG, KY, PK, UY, NL, SB, MD, US, MA, TH, SL, AU, NP, VI, CH, CF, MU, ZM, IS, BZ, CG, WS, CK, BH, SK, EG, GQ, BA, KZ, ML, MC, GS, ER, VG, CY, YE, LV, JE, PN, GE, SR, IR, MH, SO, TV, VN, AG, FM, FR, GG, HT, AZ, CL, LT, RW, NI, FI, CV, GD, SJ, TO, LB, AM, TD, KW, MG, KH, CR, FO, MN, LS, IQ, PR, SD, TW, TL, AO, CD, NC, CC, MO, BB, FJ, DJ, RO, IL, NE, AD, BT]
custom_fields object
A user-defined dictionary that contains all the custom fields generated by applying specific rules and regular expressions to the extracted data.
end_date object
A service end date identified for the line item in ISO 8601 format.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
gross_total object
The line item total before deductions.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
hsn object
The Harmonized System Nomenclature (HSN) found for the line item.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
lot object
The batch or lot number for the line item.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
start_date object
A service start date identified for the line item in ISO 8601 format.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
tax_code object
The classification of goods and services for tax purposes for the line item.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
manufacturer object
The name of the manufacturer of the product for the line item.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
net_total object
The line item total after deductions.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
upc object
The Universal Product Code (UPC), European Article Number (EAN), or Global Trade Item Number (GTIN) found for the line item on this document will be placed in this field.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
weight object
The weight of the item for the line item. Usually found on logistic invoices.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
]
order_date object
The date when the goods or services were ordered in ISO 8601 format.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
payment object
An object that represents detailed information about the payment method related to this document.
card_number object
The last found digits of a credit or debit card number found on the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
display_name string
Possible values: non-empty
The card type plus the last four digits of the card number found on the document.
terms object
The terms on when and how to pay found on the document. Typically found on invoices.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
type object
The payment type found on the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: [none, master_card, visa, cash, american_express, interac, other, maestro, bancontact, discover, girocard, paypal, applepay, bancomat, octopus, check, bankaxept, card, waon, mada, jcb, bank-to-bank_transfer_bacs, wechat, alipay, pix, unionpay, rupay, bpay, shopeepay, googlepay, giftcard, paypay]
previous_balance object
The previous invoice balance.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
purchase_order_number object
The unique identification number assigned to a purchase order document. A purchase order is a document given from a buyer to a seller that details the quantity, prices, and total cost of requested goods and services.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
rounding object
An extracted 'discount' (rounding) that vendors give to customers so they do not have to pay with small coins. For example, if a customer paid with cash and a vendor did not have a change of 4 cents, they would round the number and return 5 cents.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
server_name object
The restaurant's server name.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
service_start_date object
The date indicating the beginning of a service. The start date could be a flight departure date or hotel arrival date in ISO 8601 format.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
service_end_date object
The date indicating the end of a service. The end date could be a flight arrival date or hotel departure date in ISO 8601 format.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
ship_date object
The date when the order was or will be shipped in ISO 8601 format.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
ship_to object
An object that represents the information about a person or business receiving an order.
address object
The delivery address found on the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
name object
The name of the person or business who will receive the delivery and found on the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
parsed_address object
An object representing detailed address-related information on the document, such as the city, state, street address, unit number, etc. Filled in the original POST request had the parameter parse_address set to true and the corresponding address is found on the document.
building string
Possible values: non-empty
The building name e.g. 'Project 8' or 'Empire State Building'
city string
Possible values: non-empty
The settlement including cities, towns, villages, hamlets, localities, etc.
country string
Possible values: non-empty
The sovereign nations and their dependent territories, anything with an ISO-3166 code.
country_alpha_2 string
Possible values: non-empty
The detected ISO 3166-1 alpha-2 code for a given country.
postcode string
Possible values: non-empty
The postal code used for mail sorting
state string
Possible values: non-empty
A first-level administrative division. Scotland, Northern Ireland, Wales, and England in the UK are mapped to "state" as well
street_address string
Possible values: non-empty
A sum of house_number road, building, unit.
house string
Possible values: non-empty
The venue name e.g. "Brooklyn Academy of Music", and building names e.g. "Empire State Building".
house_number string
Possible values: non-empty
Usually refers to the external (street-facing) building number. In some countries this may be a compound, hyphenated number, which also includes an apartment number, or a block number (a la Japan).
road string
Possible values: non-empty
Street name(s)
unit string
Possible values: non-empty
An apartment, unit, office, lot, or other secondary unit designator.
level string
Possible values: non-empty
The expressions indicating a floor number e.g. "3rd Floor", "Ground Floor", etc.
staircase string
Possible values: non-empty
Numbered/lettered staircase
entrance string
Possible values: non-empty
Numbered/lettered entrance
po_box string
Possible values: non-empty
The post office box, typically found in non-physical (mail-only) addresses.
suburb string
Possible values: non-empty
An unofficial neighborhood name like "Harlem", "South Bronx", or "Crown Heights".
city_district string
Possible values: non-empty
The boroughs or districts within a city that serve some official purpose e.g. "Brooklyn" or "Hackney" or "Bratislava IV".
island string
Possible values: non-empty
Named islands e.g. "Maui"
state_district string
Possible values: non-empty
Usually a second-level administrative division or county.
country_region string
Possible values: non-empty
Informal subdivision of a country without any political status.
world_region string
Possible values: non-empty
Only used for appending "West Indies" after the country name, a pattern frequently used in the English-speaking Caribbean e.g. "Jamaica, West Indies".
shipping object
The cost of shipping or delivery of a package.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
store_number object
The subsidiaries, vendor, corporation, or organization identification number used for unique referencing.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
subtotal object
Total charges and credits before tip and tax, if applicable. This value is computable.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
tax object
The tax amount applied to the purchase(s). This value is computable.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
tax_lines_with_scores object[]
A detailed breakdown of tax elements usually found in a tax table.
Array [
order integerrequired
The arrangement of tax lines in relation to each other.
name objectrequired
The name of the sales tax type.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
rate objectrequired
The tax rate (percentage) applied to the base amount. This value is computable.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
total objectrequired
The total amount of tax charged for this particular tax line item. If the document has multiple taxes on it those taxes will be returned in the list inside the taxes field. Note there are a couple of countries in the world that have 3 decimal places after the dot.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
base objectrequired
The base amount of the tax applied.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
code object
The tax identification code.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
total_inclusive object
The base rate + tax amount.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
]
tip object
The amount of money that is given to someone for a service, also called gratuity. Usually present on receipts, not invoices. This value is computable.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
total object
The gross amount, including subtotal, tax, fees, etc. This value is computable.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
total_quantity object
The total quantity of items found on the document. In most cases, this number equals the sum of line item quantities.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
total_weight object
The total weight of all items listed on the document. Typically found on invoices.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
tracking_number object
The unique identifier assigned to a package for referencing its shipping information.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
tracking_numbers object[]
An array of unique identification numbers assigned to packages for referencing shipping information.
Array [
anyOf
DetailedField
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
]
vending_person object
The person or business who has provided services found on the document. This is the same as server_name.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
vending_person_number object
Identifier for the person or business who has provided services. Typically 'Cashier Number' on receipts or 'Sales Manager Number' on invoices.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
vendor object
An object containing a detailed breakdown of vendor elements.
abn_number object
An Australian Business Number (ABN) is a unique 11-digit number that identifies a business to the government and community and found on the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
account_currency object
The currency of the vendor bank account if indicated. Provides the ability to support multiple bank accounts for bill pay use cases, e.g., a separate bank account for you to pay in Euros and a separate to pay in US Dollars.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: [RSD, MOP, VEF, AFN, FKP, LTL, MVR, PAB, MNT, LVL, CLP, BMD, AED, GYD, KWD, OMR, KGS, ZAR, XCD, VND, TWD, YER, TRY, SAR, HRK, GIP, BBD, EGP, EEK, KPW, PKR, RUB, GHC, MKD, NGN, TRL, AUD, KYD, MXN, MZN, LBP, NZD, BRL, GBP, LKR, HTG, IMP, MYR, QAR, BOB, BND, NIO, LRD, LAK, RON, EUR, GTQ, USD, ZWD, LSL, BGN, PYG, CNY, SCR, SEK, TVD, KHR, IDR, NAD, UGX, ANG, SRD, ILS, COP, KZT, CHF, SYP, ARS, BYR, SBD, AMD, THB, BWP, GGP, GEL, IQD, NPR, AZN, DKK, PHP, JPY, UYU, GNF, DOP, PLN, BAM, CRC, IRR, SGD, BHD, HUF, CAD, PEN, SVC, JMD, FJD, HKD, JEP, CZK, CUP, AWG, BSD, KRW, SOS, TTD, MUR, ISK, HNL, SHP, NOK, UZS, UAH, BZD, SZL, ALL, INR]
account_number objectrequired
The vendor's bank account number.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
address objectrequired
The address of the vendor. This value is computable.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
biller_code object
The vendor identification code in a payment system.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
bank_breakdown object[]required
A detailed list of banking information.
Array [
vendor_account_currency objectrequired
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: [RSD, MOP, VEF, AFN, FKP, LTL, MVR, PAB, MNT, LVL, CLP, BMD, AED, GYD, KWD, OMR, KGS, ZAR, XCD, VND, TWD, YER, TRY, SAR, HRK, GIP, BBD, EGP, EEK, KPW, PKR, RUB, GHC, MKD, NGN, TRL, AUD, KYD, MXN, MZN, LBP, NZD, BRL, GBP, LKR, HTG, IMP, MYR, QAR, BOB, BND, NIO, LRD, LAK, RON, EUR, GTQ, USD, ZWD, LSL, BGN, PYG, CNY, SCR, SEK, TVD, KHR, IDR, NAD, UGX, ANG, SRD, ILS, COP, KZT, CHF, SYP, ARS, BYR, SBD, AMD, THB, BWP, GGP, GEL, IQD, NPR, AZN, DKK, PHP, JPY, UYU, GNF, DOP, PLN, BAM, CRC, IRR, SGD, BHD, HUF, CAD, PEN, SVC, JMD, FJD, HKD, JEP, CZK, CUP, AWG, BSD, KRW, SOS, TTD, MUR, ISK, HNL, SHP, NOK, UZS, UAH, BZD, SZL, ALL, INR]
vendor_account_number objectrequired
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
vendor_bank_address objectrequired
The address of the vendor bank.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
parsed_address object
An object representing detailed address-related information on the document, such as the city, state, street address, unit number, etc. Filled in the original POST request had the parameter parse_address set to true and the corresponding address is found on the document.
building string
Possible values: non-empty
The building name e.g. 'Project 8' or 'Empire State Building'
city string
Possible values: non-empty
The settlement including cities, towns, villages, hamlets, localities, etc.
country string
Possible values: non-empty
The sovereign nations and their dependent territories, anything with an ISO-3166 code.
country_alpha_2 string
Possible values: non-empty
The detected ISO 3166-1 alpha-2 code for a given country.
postcode string
Possible values: non-empty
The postal code used for mail sorting
state string
Possible values: non-empty
A first-level administrative division. Scotland, Northern Ireland, Wales, and England in the UK are mapped to "state" as well
street_address string
Possible values: non-empty
A sum of house_number road, building, unit.
house string
Possible values: non-empty
The venue name e.g. "Brooklyn Academy of Music", and building names e.g. "Empire State Building".
house_number string
Possible values: non-empty
Usually refers to the external (street-facing) building number. In some countries this may be a compound, hyphenated number, which also includes an apartment number, or a block number (a la Japan).
road string
Possible values: non-empty
Street name(s)
unit string
Possible values: non-empty
An apartment, unit, office, lot, or other secondary unit designator.
level string
Possible values: non-empty
The expressions indicating a floor number e.g. "3rd Floor", "Ground Floor", etc.
staircase string
Possible values: non-empty
Numbered/lettered staircase
entrance string
Possible values: non-empty
Numbered/lettered entrance
po_box string
Possible values: non-empty
The post office box, typically found in non-physical (mail-only) addresses.
suburb string
Possible values: non-empty
An unofficial neighborhood name like "Harlem", "South Bronx", or "Crown Heights".
city_district string
Possible values: non-empty
The boroughs or districts within a city that serve some official purpose e.g. "Brooklyn" or "Hackney" or "Bratislava IV".
island string
Possible values: non-empty
Named islands e.g. "Maui"
state_district string
Possible values: non-empty
Usually a second-level administrative division or county.
country_region string
Possible values: non-empty
Informal subdivision of a country without any political status.
world_region string
Possible values: non-empty
Only used for appending "West Indies" after the country name, a pattern frequently used in the English-speaking Caribbean e.g. "Jamaica, West Indies".
vendor_bank_addresses object[]
Array [
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
]
vendor_bank_name objectrequired
The name of the bank. Could be part of invoice remittance information.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
vendor_bank_names object[]
Array [
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
]
vendor_bank_number objectrequired
The bank routing number. Could be part of invoice remittance information.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
vendor_bank_numbers object[]required
An array of bank routing numbers.
Array [
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
]
vendor_bank_swift objectrequired
The Society for Worldwide Interbank Financial Telecommunication (SWIFT) code is part of the ISO 9362 standards for sending money internationally.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
vendor_iban objectrequired
The International Bank Account Number (IBAN) is a standard international numbering system developed to identify an overseas bank account.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
]
bank_name object
The name of the bank. Could be part of invoice remittance information.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
bank_number object
The bank routing number. Could be part of invoice remittance information.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
bank_swift object
The Society for Worldwide Interbank Financial Telecommunication (SWIFT) code is part of the ISO 9362 standards for sending money internationally.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
category stringdeprecated
Possible values: non-empty
Similar to vendor.type
country_code object
The country code belonging to a vendor
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: [GR, JO, EH, GI, HK, VC, CM, ZA, BJ, PF, SC, BF, ET, AT, TR, RU, QA, NF, MX, GY, MZ, GP, RS, CZ, GU, TK, GN, ID, JM, KG, IT, GT, AS, AF, RE, BL, ES, SE, PA, VE, CI, NU, AI, LC, GW, SN, KR, KP, BD, AE, PH, BO, BE, UA, BW, CO, DZ, PS, MR, SH, TT, PG, KM, SM, WF, MF, DM, UM, CX, PY, KN, BR, AX, EC, LU, TC, OM, MM, DO, BY, IO, IE, SA, SZ, LR, MS, SV, CA, VA, GF, HM, AL, NG, LK, KI, GB, AR, UG, PW, AN, TF, NO, PE, BM, DE, UZ, VU, TN, SI, IN, SY, BN, GL, GA, MT, HR, YT, PT, GH, NA, TG, LY, AW, TJ, NR, FK, NZ, BV, HN, MY, LA, DK, MP, HU, KE, PM, TZ, LI, AQ, ME, PL, MV, TM, IM, GM, MQ, BI, ZW, CU, BS, BG, CN, EE, JP, MK, MW, ST, SG, KY, PK, UY, NL, SB, MD, US, MA, TH, SL, AU, NP, VI, CH, CF, MU, ZM, IS, BZ, CG, WS, CK, BH, SK, EG, GQ, BA, KZ, ML, MC, GS, ER, VG, CY, YE, LV, JE, PN, GE, SR, IR, MH, SO, TV, VN, AG, FM, FR, GG, HT, AZ, CL, LT, RW, NI, FI, CV, GD, SJ, TO, LB, AM, TD, KW, MG, KH, CR, FO, MN, LS, IQ, PR, SD, TW, TL, AO, CD, NC, CC, MO, BB, FJ, DJ, RO, IL, NE, AD, BT]
email object
The vendor's email address.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
external_id string
Possible values: non-empty
A custom identification field. Set by matching to a client-provided list of vendors.
fax_number object
The fax number of the vendor.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
iban object
The International Bank Account Number (IBAN) is a standard international numbering system developed to identify an overseas bank account.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
lat number
The latitude coordinates for the location of this vendor. This is an enriched parameter from a third-party resource not found in the document.
lng number
The longitude coordinates for the location of this vendor. This is an enriched parameter from a third-party resource not found in the document.
logo uri
Possible values: non-empty and <= 2083 characters
A URL to the vendor's logo. This is an enriched convenience parameter and is not found on the document.
logo_name object
A vendor logo found on the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
map_url uri
Possible values: non-empty and <= 2083 characters
A URL to the vendor's location on Google Maps. This is an enriched convenience parameter and is not found on the document.
name object
The normalized name of the vendor.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
parsed_address object
An object representing detailed address-related information on the document, such as the city, state, street address, unit number, etc. Filled in the original POST request had the parameter parse_address set to true and the corresponding address is found on the document.
building string
Possible values: non-empty
The building name e.g. 'Project 8' or 'Empire State Building'
city string
Possible values: non-empty
The settlement including cities, towns, villages, hamlets, localities, etc.
country string
Possible values: non-empty
The sovereign nations and their dependent territories, anything with an ISO-3166 code.
country_alpha_2 string
Possible values: non-empty
The detected ISO 3166-1 alpha-2 code for a given country.
postcode string
Possible values: non-empty
The postal code used for mail sorting
state string
Possible values: non-empty
A first-level administrative division. Scotland, Northern Ireland, Wales, and England in the UK are mapped to "state" as well
street_address string
Possible values: non-empty
A sum of house_number road, building, unit.
house string
Possible values: non-empty
The venue name e.g. "Brooklyn Academy of Music", and building names e.g. "Empire State Building".
house_number string
Possible values: non-empty
Usually refers to the external (street-facing) building number. In some countries this may be a compound, hyphenated number, which also includes an apartment number, or a block number (a la Japan).
road string
Possible values: non-empty
Street name(s)
unit string
Possible values: non-empty
An apartment, unit, office, lot, or other secondary unit designator.
level string
Possible values: non-empty
The expressions indicating a floor number e.g. "3rd Floor", "Ground Floor", etc.
staircase string
Possible values: non-empty
Numbered/lettered staircase
entrance string
Possible values: non-empty
Numbered/lettered entrance
po_box string
Possible values: non-empty
The post office box, typically found in non-physical (mail-only) addresses.
suburb string
Possible values: non-empty
An unofficial neighborhood name like "Harlem", "South Bronx", or "Crown Heights".
city_district string
Possible values: non-empty
The boroughs or districts within a city that serve some official purpose e.g. "Brooklyn" or "Hackney" or "Bratislava IV".
island string
Possible values: non-empty
Named islands e.g. "Maui"
state_district string
Possible values: non-empty
Usually a second-level administrative division or county.
country_region string
Possible values: non-empty
Informal subdivision of a country without any political status.
world_region string
Possible values: non-empty
Only used for appending "West Indies" after the country name, a pattern frequently used in the English-speaking Caribbean e.g. "Jamaica, West Indies".
phone_number object
The phone number of the vendor.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
raw_address object
The raw vendor address exactly as found on the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
raw_name object
The raw vendor name exactly as found on the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
reg_number object
The vendor registration number. In the U.S., this would be the Employer Identification Number (EIN). Does not include VAT (Europe) or EIN (US), which are recorded as vat_number.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
type object
A classification of the vendor, such as drugstore or convenience store. The vendor type predicted by Veryfi. Can also be extracted from third party enrichment
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value object
The extracted value.
anyOf
MOD1
string
MOD2
string
order_number object
The unique identification number for the order and set by the vendor. Typically found on invoices.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
vat_number object
The value-added tax identification number (VAT) for this vendor and found on the document. VAT numbers can be found on European invoices. For United States invoices, the Employer Identification Number (EIN) of the vendor.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
web object
The vendor's website address (URL).
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
vendors object[]
An array of all found vendors by vendors.raw_name, including those found with vendor.abn_number and found on the document.
Array [
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
]
vin_number object
A vehicle identification number (VIN) is a unique code assigned to every motor vehicle when it's manufactured and found on the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
weights object[]
An array of the weights found on the document.
Array [
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
]
Document
external_id string
Possible values: non-empty
A custom identification value. Use this if you would like to assign your own ID to documents. This parameter is useful when mapping this document to a service or resource outside Veryfi.
pdf_url uri
Possible values: non-empty and <= 2083 characters
A signed URL to access the auto-generated PDF created from the submitted document. This URL expires 15 minutes after the response object is returned and is resigned during every GET request.
id integerrequired
The unique number created to identify the document.
created_date date-time
The date and time the invoice or receipt was first submitted and processed in ISO 8601 format.
updated_date date-time
The date and time when the last update was made to the Document object in ISO 8601 format.
img_thumbnail_url uri
Possible values: non-empty and <= 2083 characters
A signed URL to access the auto-generated thumbnail created for the submitted document. This URL expires 15 minutes after the response object is returned and is resigned during every GET request.
accounting_entry_type string
Possible values: [debit, credit]
Classifies the document as credit or debit for accounting purposes.
custom_fields object
A user-defined dictionary that contains all the custom fields generated by applying specific rules and regular expressions to the extracted data.
duplicate_of integer
The ID of the first unique Document. This Document has been identified as a duplicate of another Document.
exch_rate number
The exchange rate is calculated by dividing the amount of the currency found on the document by your account's default currency. The exchange rate will be 1 if the document's currency matches your account's default currency or Veryfi cannot find a currency on the document.
img_blur booleandeprecated
The value indicating whether or not the image taken with the Lens SDK is blurry. Please use meta.pages.is_blurry instead
img_file_name string
Possible values: non-empty
The filename and extension for the document submitted to Veryfi for processing. This is the filename and extension for the document hosted on Veryfi.
img_url uri
Possible values: non-empty and <= 2083 characters
A signed URL to the original submitted image or the PDF generated from multiple images. The URL expires 15 minutes after the Document Response is returned and is re-assigned on every GET request.
is_approved boolean
A user-defined flag that can be assigned to the Document object. This parameter is helpful in expense management use cases.
is_blurry boolean[]deprecated
Deprecated. Please use meta.pages.is_blurry instead
is_document boolean
The value indicating whether or not the image submitted for processing is a receipt, invoice, or another supported document type.
is_duplicate boolean
The value indicating whether or not this Document has been identified as a duplicate of another Document on your account.
line_items object[]
A list of the products or services purchased or ordered on the submitted document.
Array [
id integerrequired
The unique number created to identify the Line Item object.
order integerrequired
The value indicating the position of where the line item appears on the document.
tags string[]
Possible values: non-empty
A user-defined list of identifiers that help to categorize or flag particular types of line items.
text stringrequired
Possible values: non-empty and <= 1000 characters
The complete text returned for the line item, including prices, dates, etc.
type stringrequired
Possible values: [room, tax, parking, service, fee, delivery, product, food, alcohol, tobacco, transportation, fuel, refund, discount, payment, giftcard, donation, toll, lottery]
The classification of the product. The line type predicted by Veryfi, e.g. food.
product_info object
Line item extra product info
anyOf
LineItemInfo
expanded_description stringrequired
Possible values: non-empty
brand stringrequired
Possible values: non-empty
category string[]required
Possible values: non-empty
EmptyDict
date date
The date found on the document and associated with the line item in ISO 8601 format.
description stringrequired
Possible values: non-empty and <= 1000 characters
The product or service's extracted name or description excluding date and price.
full_description string
Possible values: non-empty and <= 1000 characters
The item text including dates, weight, etc.
normalized_description string
Possible values: non-empty
The line item description with expanded words
discount_price number
The lower price after discount.
discount_rate number
The discount percentage that was applied to the line item.
discount number
The amount deducted from the total price for the line item.
price number
The unit price for the line item.
quantity number
The amount or number of units for the line item. This value is computable.
reference string
Possible values: non-empty
section string
Possible values: non-empty
A grouping indicated by formatted text on the receipt or invoice.
sku string
Possible values: non-empty
The Stock Keeping Unit (SKU) is the unique code associated with the product for the line item.
tax_rate number
The percent at which the individual or corporation is taxed for the line item.
tax number
The amount at which the individual or corporation is taxed for the product on this line item.
total number
The total price for this line item. This value is computable.
subtotal number
Total charges and credits before tip and tax, if applicable. This value is computable.
unit_of_measure string
Possible values: non-empty
The unit of measurement for this line item.
category string
Possible values: non-empty
The category is taken from the line item with the same SKU and/or description. Otherwise from the root category field.
country_of_origin string
Possible values: [GR, JO, EH, GI, HK, VC, CM, ZA, BJ, PF, SC, BF, ET, AT, TR, RU, QA, NF, MX, GY, MZ, GP, RS, CZ, GU, TK, GN, ID, JM, KG, IT, GT, AS, AF, RE, BL, ES, SE, PA, VE, CI, NU, AI, LC, GW, SN, KR, KP, BD, AE, PH, BO, BE, UA, BW, CO, DZ, PS, MR, SH, TT, PG, KM, SM, WF, MF, DM, UM, CX, PY, KN, BR, AX, EC, LU, TC, OM, MM, DO, BY, IO, IE, SA, SZ, LR, MS, SV, CA, VA, GF, HM, AL, NG, LK, KI, GB, AR, UG, PW, AN, TF, NO, PE, BM, DE, UZ, VU, TN, SI, IN, SY, BN, GL, GA, MT, HR, YT, PT, GH, NA, TG, LY, AW, TJ, NR, FK, NZ, BV, HN, MY, LA, DK, MP, HU, KE, PM, TZ, LI, AQ, ME, PL, MV, TM, IM, GM, MQ, BI, ZW, CU, BS, BG, CN, EE, JP, MK, MW, ST, SG, KY, PK, UY, NL, SB, MD, US, MA, TH, SL, AU, NP, VI, CH, CF, MU, ZM, IS, BZ, CG, WS, CK, BH, SK, EG, GQ, BA, KZ, ML, MC, GS, ER, VG, CY, YE, LV, JE, PN, GE, SR, IR, MH, SO, TV, VN, AG, FM, FR, GG, HT, AZ, CL, LT, RW, NI, FI, CV, GD, SJ, TO, LB, AM, TD, KW, MG, KH, CR, FO, MN, LS, IQ, PR, SD, TW, TL, AO, CD, NC, CC, MO, BB, FJ, DJ, RO, IL, NE, AD, BT]
The country of manufacture, production, design, or brand origin where the product comes from.
custom_fields object
A user-defined dictionary that contains all the custom fields generated by applying specific rules and regular expressions to the extracted data.
product_details object[]
Product lookup details
Array [
avg_price numberrequired
The average price of the product
brand stringrequired
Possible values: non-empty
The brand name of the product
ean stringrequired
Possible values: non-empty
European Article Number (EAN) of the product
extra_fields objectrequired
Additional fields for the product details
property name* any
Additional fields for the product details
gtin_14 stringrequired
Possible values: non-empty
Global Trade Item Number (GTIN-14) of the product
match_score numberrequired
Possible values: <= 1
The match score of the product
image stringrequired
Possible values: non-empty
The image URL of the product
image_url stringrequired
Possible values: non-empty
Alternative field for the image URL of the product
product_name stringrequired
Possible values: non-empty
The name of the product
segment stringrequired
Possible values: non-empty
The market segment of the product
veryn stringrequired
Possible values: non-empty
The veryn identifier of the product
]
end_date date
A service end date identified for the line item in ISO 8601 format.
gross_total number
The line item total before deductions.
hsn string
Possible values: non-empty
The Harmonized System Nomenclature (HSN) found for the line item.
lot string
Possible values: non-empty
The batch or lot number for the line item.
start_date date
A service start date identified for the line item in ISO 8601 format.
tax_code string
Possible values: non-empty
The classification of goods and services for tax purposes for the line item.
manufacturer string
Possible values: non-empty
The name of the manufacturer of the product for the line item.
net_total number
The line item total after deductions.
upc string
Possible values: non-empty
The Universal Product Code (UPC), European Article Number (EAN), or Global Trade Item Number (GTIN) found for the line item on this document will be placed in this field.
weight string
Possible values: non-empty
The weight of the item for the line item. Usually found on logistic invoices.
]
tax_lines object[]
A detailed breakdown of tax elements usually found in a tax table.
Array [
order integerrequired
The arrangement of tax lines in relation to each other.
name stringrequired
Possible values: non-empty
The name of the sales tax type.
rate numberrequired
The tax rate (percentage) applied to the base amount. This value is computable.
total numberrequired
The total amount of tax charged for this particular tax line item. If the document has multiple taxes on it those taxes will be returned in the list inside the taxes field. Note there are a couple of countries in the world that have 3 decimal places after the dot.
base numberrequired
The base amount of the tax applied.
code string
Possible values: non-empty
The tax identification code.
total_inclusive number
The base rate + tax amount.
]
model string
Possible values: non-empty
The data extraction model version number that was used to process the document.
notes string
Possible values: non-empty
A user-defined text field that can be used to add any additional document-level information.
ocr_text string
The text returned from converting the document into a machine-readable text format.
payment_links string[]
Possible values: non-empty
Document payments links, included pdf hidden links
reference_number stringdeprecated
Possible values: non-empty
Deprecated. Use id.
status string
Possible values: [processed, reviewed, archived]
The value indicating the document's status.
tags object[]
A user-defined list of identifiers that help to categorize or flag particular types of documents. The Document object can have multiple tags. You can create tags by API or in Hub.
Array [
id integerrequired
The ID of the tag.
name stringrequired
Possible values: non-empty
The name of the tag.
]
total_pages integerdeprecated
Deprecated. Use meta.total_pages.
warnings string[]
Possible values: non-empty
An array of insights that highlight unusual behavior found on a document.
meta object
An object that describes document-related metadata information such as total pages found and the likelihood of fraud found on the document.
owner stringrequired
Possible values: non-empty
The API username for the account that processed the document.
total_pages integerrequired
The total number of pages found in the submitted document.
processed_pages integerrequired
The number of processed pages for the document. The default limit is 15 pages per document. Use max_processed_pages on the POST request to update the limit.
pages object[]required
An array containing meta info about each extracted page
Array [
height integerrequired
width integerrequired
language object[]required
Page languages in BCP-47 language tag, starting with the most confident prediction.
Array [
anyOf
MOD1
string
]
screenshot object
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
type stringrequired
Possible values: [mobile_screenshot, other_screenshot, ai_generated]
The predicted value of the screenshot type if the document is a screenshot.
is_blurry object
The processed page is blurry or not
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value booleanrequired
The extracted value.
]
source_documents object[]required
An array containing meta info about originally submitted documents
Array [
size_kb integerrequired
height integerrequired
width integerrequired
exif object
EXIF data from the source document
property name* any
EXIF data from the source document
]
fraud object
An object that contains additional information to help check for fraud. Does not work with the parameter boost_mode set to true.
attribution string
Possible values: non-empty
Attribution of Fraud Detector's decision
decision string
Possible values: non-empty
Fraud Detector's decision
color string
Possible values: [green, yellow, red]
Color from Fraud Detector: green means legitimate, yellow means review needed and red means fraud
pages object[]
An array containing fraud info about each extracted page
Array [
anyOf
FraudPage
is_lcd object
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value booleanrequired
The extracted value.
]
images object[]deprecated
deprecated and will be removed at 2023-11-10. Use meta.fraud.pages instead
Array [
anyOf
LCD
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
is_lcd boolean
The value indicating whether or not the image is a picture of an LCD screen.
]
score number
Possible values: <= 1
Confidence of Fraud Detector in it's prediction
version string
Possible values: non-empty
The Fraud Detector version. The latest version in action while the document was processed. Different versions may have their own ways of calculating the score and deducing the color string value.
submissions object
The amount of submissions from specific device id.
property name* integer
fraudulent_pdf object
Results of the pdf analysis.
property name* number
types string[]
Possible values: [other, handwritten characters, digital tampering, generated document, LCD photo, screenshot, not a document, duplicate, high velocity, fraudulent pdf, critical velocity, similar documents, multiple profiles or devices, fraud history, emulated device, blocked device]
Default value: ``
List of attributions which marked the document as fraud
digital_tampering_fields string[]
Possible values: Value must match regular expression ^(bill_to_email|bill_to_address|final_balance|tax_name|date|due_date|ship_to_name|total_weight|charge_name|total_currency_code|account_number|vendor_account_currency|charge_total|vendor_bank_swift|tax|abn_number|bill_to_vat_number|order_date|bill_to_reg_number|ship_to_address|end_time|previous_balance|vendor_logo_name|vin_number|total|hsn|vendor_web|bill_to_phone_number|start_time|incoterms|summary_name|vending_person_number|invoice_number|delivery|biller_code|insurance|rounding|vendor_iban|tax_base|tax_rate|reference|start_date|tip|vendor_bank_address|vendor_reg_number|time|tracking_number|raw_vendor_name|tax_code|fax_number|vendor_address|cashback|bill_to_name|phone_number|vendor_email|card_number|terms|subtotal|delivery_note_number|summary_total|total_quantity|vendor_bank_number|end_date|ship_date|guest_count|vendor_bank_name|license_plate_number|vat_number|discount|store_number|so_number|po_number|delivery_date|vendor_account_number|vending_person|balance|document_title|total_in_words|line_items\.\d{1,4}\.(?:upc|end_date|tax_rate|coo|discount_price|date|start_date|total|price|hsn|description|discount|tax_code|weight|quantity|taxes|sku|mnf|full_description|tax|balance|section|lot|subtotal|unit_of_measure|discount_rate)|tax_breakdown\.\d{1,4}\.(?:tax_base|tax_rate|tax_name|tax|tax_code|tax_inclusive)|summary\.\d{1,4}\.(?:summary_total|summary_name)|bank_breakdown\.\d{1,4}\.(?:vendor_bank_number|vendor_account_number|vendor_bank_addresses|vendor_iban|vendor_account_currency|vendor_bank_numbers|vendor_bank_address|vendor_bank_swift|vendor_bank_name|vendor_bank_names))$
List of fields which were digitally tampered. Does not work with the parameter boost_mode set to true.
fraud_review object
An object that contains information about the fraud review.
decision string
Possible values: [fraud, not fraud, unknown]
The review decision for the document
types string[]
Possible values: [other, handwritten characters, digital tampering, generated document, LCD photo, screenshot, not a document, duplicate, high velocity, fraudulent pdf]
Default value: ``
What kind of fraud type
warnings object[]
An array of warnings to help catch errors or fraud on the processed document. This is also related to the integrity checks on a document such as subtotal not matching the sum of line item totals. Does not work with the parameter boost_mode set to true.
Array [
type stringrequired
Possible values: [tax_rate_missmatch, item_counts_missmatch, totals_missmatch, line_item_amount_missmatch, line_item_repeats, barcode_decoding_issue, barcode_code_missing_in_ocr, logo_vendor_missmatch, malware]
Type of the warning, e.g. barcode_code_missing_in_ocr. Type is an enumerated field and comes from a defined number of enumerated values.
message stringrequired
Possible values: non-empty
The detailed message about the warning.
]
handwritten_fields string[]
Possible values: Value must match regular expression ^(bill_to_email|bill_to_address|final_balance|tax_name|date|due_date|ship_to_name|total_weight|charge_name|total_currency_code|account_number|vendor_account_currency|charge_total|vendor_bank_swift|tax|abn_number|bill_to_vat_number|order_date|bill_to_reg_number|ship_to_address|end_time|previous_balance|vendor_logo_name|vin_number|total|hsn|vendor_web|bill_to_phone_number|start_time|incoterms|summary_name|vending_person_number|invoice_number|delivery|biller_code|insurance|rounding|vendor_iban|tax_base|tax_rate|reference|start_date|tip|vendor_bank_address|vendor_reg_number|time|tracking_number|raw_vendor_name|tax_code|fax_number|vendor_address|cashback|bill_to_name|phone_number|vendor_email|card_number|terms|subtotal|delivery_note_number|summary_total|total_quantity|vendor_bank_number|end_date|ship_date|guest_count|vendor_bank_name|license_plate_number|vat_number|discount|store_number|so_number|po_number|delivery_date|vendor_account_number|vending_person|balance|document_title|total_in_words|line_items\.\d{1,4}\.(?:upc|end_date|tax_rate|coo|discount_price|date|start_date|total|price|hsn|description|discount|tax_code|weight|quantity|taxes|sku|mnf|full_description|tax|balance|section|lot|subtotal|unit_of_measure|discount_rate)|tax_breakdown\.\d{1,4}\.(?:tax_base|tax_rate|tax_name|tax|tax_code|tax_inclusive)|summary\.\d{1,4}\.(?:summary_total|summary_name)|bank_breakdown\.\d{1,4}\.(?:vendor_bank_number|vendor_account_number|vendor_bank_addresses|vendor_iban|vendor_account_currency|vendor_bank_numbers|vendor_bank_address|vendor_bank_swift|vendor_bank_name|vendor_bank_names))$
List of fields which were handwritten. Does not work with the parameter boost_mode set to true.
device_id string
Possible values: Value must match regular expression ^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$
Fingerprint of the device used to process the document.
device_user_uuid string
Possible values: Value must match regular expression ^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$
Fingerprint of the user who processed the document on a particular device.
duplicates object[]
A list of 10 closest matches
Array [
id integerrequired
url urirequired
Possible values: non-empty and <= 2083 characters
score numberrequired
Possible values: <= 1
How close is the match
]
source string
Possible values: [api.email, api.web, api, lens.bill, lens.invoice, lens.long_receipt, lens.other, lens.receipt, lens.web, lens]
Default value: api
The source of the document's submission for processing.
language object[]required
Document languages in BCP-47 language tag, starting with the most confident prediction.
Array [
anyOf
MOD1
string
]
ocr_score numberrequired
Possible values: <= 1
The average OCR score of the whole document.
account_number string
Possible values: non-empty
The unique identifier of the customer assigned by the vendor.
balance number
The invoice or bill balance.
barcodes object[]
An array of barcodes extracted from the document if found.
Array [
data string
Possible values: non-empty
The machine-readable representation of the barcode found on the document.
type string
Possible values: non-empty
The name of the encoding for the barcode. Supported types include: QR Code, PDF417, EAN, UPC, Code128, Code39, I25
]
bill_to object
An object that describes a person or business that is billed for the amount found on the document.
name string
Possible values: non-empty
The name of the individual or business
address string
Possible values: non-empty
The address of the individual or business
email string
Possible values: non-empty
The payer's email address found in the billing section of the document.
parsed_address object
An object representing detailed address-related information on the document, such as the city, state, street address, unit number, etc. Filled in the original POST request had the parameter parse_address set to true and the corresponding address is found on the document.
building string
Possible values: non-empty
The building name e.g. 'Project 8' or 'Empire State Building'
city string
Possible values: non-empty
The settlement including cities, towns, villages, hamlets, localities, etc.
country string
Possible values: non-empty
The sovereign nations and their dependent territories, anything with an ISO-3166 code.
country_alpha_2 string
Possible values: non-empty
The detected ISO 3166-1 alpha-2 code for a given country.
postcode string
Possible values: non-empty
The postal code used for mail sorting
state string
Possible values: non-empty
A first-level administrative division. Scotland, Northern Ireland, Wales, and England in the UK are mapped to "state" as well
street_address string
Possible values: non-empty
A sum of house_number road, building, unit.
house string
Possible values: non-empty
The venue name e.g. "Brooklyn Academy of Music", and building names e.g. "Empire State Building".
house_number string
Possible values: non-empty
Usually refers to the external (street-facing) building number. In some countries this may be a compound, hyphenated number, which also includes an apartment number, or a block number (a la Japan).
road string
Possible values: non-empty
Street name(s)
unit string
Possible values: non-empty
An apartment, unit, office, lot, or other secondary unit designator.
level string
Possible values: non-empty
The expressions indicating a floor number e.g. "3rd Floor", "Ground Floor", etc.
staircase string
Possible values: non-empty
Numbered/lettered staircase
entrance string
Possible values: non-empty
Numbered/lettered entrance
po_box string
Possible values: non-empty
The post office box, typically found in non-physical (mail-only) addresses.
suburb string
Possible values: non-empty
An unofficial neighborhood name like "Harlem", "South Bronx", or "Crown Heights".
city_district string
Possible values: non-empty
The boroughs or districts within a city that serve some official purpose e.g. "Brooklyn" or "Hackney" or "Bratislava IV".
island string
Possible values: non-empty
Named islands e.g. "Maui"
state_district string
Possible values: non-empty
Usually a second-level administrative division or county.
country_region string
Possible values: non-empty
Informal subdivision of a country without any political status.
world_region string
Possible values: non-empty
Only used for appending "West Indies" after the country name, a pattern frequently used in the English-speaking Caribbean e.g. "Jamaica, West Indies".
phone_number string
Possible values: non-empty
The payer's phone number found in the billing section of the document.
reg_number string
Possible values: non-empty
The payer's registration number found in the billing section of the document.
vat_number string
Possible values: non-empty
The value-added tax identification number (VAT) for the payer and found on the document. VAT numbers can be found on European invoices. For United States invoices, the Employer Identification Number (EIN) of the payer.
cashback string
Possible values: non-empty
The amount of cash the customer has withdrawn when making a purchase. Cashback can be found on a receipt but does not appear on invoices.
category string
Possible values: non-empty
A category predicted from sent categories, user categories or default ones.
country_code string
Possible values: [GR, JO, EH, GI, HK, VC, CM, ZA, BJ, PF, SC, BF, ET, AT, TR, RU, QA, NF, MX, GY, MZ, GP, RS, CZ, GU, TK, GN, ID, JM, KG, IT, GT, AS, AF, RE, BL, ES, SE, PA, VE, CI, NU, AI, LC, GW, SN, KR, KP, BD, AE, PH, BO, BE, UA, BW, CO, DZ, PS, MR, SH, TT, PG, KM, SM, WF, MF, DM, UM, CX, PY, KN, BR, AX, EC, LU, TC, OM, MM, DO, BY, IO, IE, SA, SZ, LR, MS, SV, CA, VA, GF, HM, AL, NG, LK, KI, GB, AR, UG, PW, AN, TF, NO, PE, BM, DE, UZ, VU, TN, SI, IN, SY, BN, GL, GA, MT, HR, YT, PT, GH, NA, TG, LY, AW, TJ, NR, FK, NZ, BV, HN, MY, LA, DK, MP, HU, KE, PM, TZ, LI, AQ, ME, PL, MV, TM, IM, GM, MQ, BI, ZW, CU, BS, BG, CN, EE, JP, MK, MW, ST, SG, KY, PK, UY, NL, SB, MD, US, MA, TH, SL, AU, NP, VI, CH, CF, MU, ZM, IS, BZ, CG, WS, CK, BH, SK, EG, GQ, BA, KZ, ML, MC, GS, ER, VG, CY, YE, LV, JE, PN, GE, SR, IR, MH, SO, TV, VN, AG, FM, FR, GG, HT, AZ, CL, LT, RW, NI, FI, CV, GD, SJ, TO, LB, AM, TD, KW, MG, KH, CR, FO, MN, LS, IQ, PR, SD, TW, TL, AO, CD, NC, CC, MO, BB, FJ, DJ, RO, IL, NE, AD, BT]
The country code of a document, e.g. where it was issued or where the vendor provides services
currency_code string
Possible values: [RSD, MOP, VEF, AFN, FKP, LTL, MVR, PAB, MNT, LVL, CLP, BMD, AED, GYD, KWD, OMR, KGS, ZAR, XCD, VND, TWD, YER, TRY, SAR, HRK, GIP, BBD, EGP, EEK, KPW, PKR, RUB, GHC, MKD, NGN, TRL, AUD, KYD, MXN, MZN, LBP, NZD, BRL, GBP, LKR, HTG, IMP, MYR, QAR, BOB, BND, NIO, LRD, LAK, RON, EUR, GTQ, USD, ZWD, LSL, BGN, PYG, CNY, SCR, SEK, TVD, KHR, IDR, NAD, UGX, ANG, SRD, ILS, COP, KZT, CHF, SYP, ARS, BYR, SBD, AMD, THB, BWP, GGP, GEL, IQD, NPR, AZN, DKK, PHP, JPY, UYU, GNF, DOP, PLN, BAM, CRC, IRR, SGD, BHD, HUF, CAD, PEN, SVC, JMD, FJD, HKD, JEP, CZK, CUP, AWG, BSD, KRW, SOS, TTD, MUR, ISK, HNL, SHP, NOK, UZS, UAH, BZD, SZL, ALL, INR]
The currency code in ISO 4217 format. The exchange_rate field will be enriched if the currency found on the document is different from the account's default currency.
date date-time
The date and time found on the document in ISO 8601 format. This value is computable.
default_category string
Possible values: [other, Job Supplies, Meals & Entertainment, Travel, Automotive, Office Supplies & Software, Food and Groceries, Gifts & Donations, Transportation, Repairs & Maintenance, Utilities, Advertising & Marketing, Legal & Professional Services, Payroll Expenses, Contractors, Rent & Lease, Insurance, Taxes & Licenses, Bank Charges & Fees, Healthcare, Postage & Delivery, Clothing & Shoes, Household, Interest Paid, Training & Education, Dues and Subscriptions]
The category chosen from a predefined list of categories found on the account. Learn how Veryfi's intelligent categorization, custom categorization, and model training work.
delivery_date date-time
The date of an order's delivery in ISO 8601 format. Typically found on invoices.
delivery_note_number string
Possible values: non-empty
The unique identification number found on the delivery note. Delivery notes have a similar format to invoices but usually titled 'Delivery Note'.
discount number
The amount deducted from the gross price.
document_type string
Possible values: [other, receipt, invoice, statement, purchase_order, check, w9, packing_slip, contract, w8, remittance_advice]
document_reference_number string
Possible values: non-empty
The identification number for the document. Commonly used to identify items for a particular customer.
document_title string
Possible values: non-empty
The title found on the document. The title is usually located at the top of the document. Common examples of document titles include Invoice, Vendor Credit, and Purchase Order.
due_date date
The date and time the payment is due for an invoice in ISO 8601 format. This value is computable.
final_balance number
The invoice balance. If the invoice is paid, the final balance is 0, but if the invoice is not paid, the value is equal to the total.
guest_count string
Possible values: non-empty
The number of guests or seats extracted from the document.
incoterms string
Possible values: non-empty
The incoterms to specify who pays and manages the shipment, insurance, documentation, customs clearance, and other logistics.
insurance number
The insurance cost. Typically found on invoices.
invoice_number string
Possible values: non-empty
The identification number for the document. Typically found on invoices.
is_money_in boolean
This parameter is used in the Expense Management application. The value is true if the document has a refund or credit note.
is_transaction boolean
This flag marks card slips as true.
license_plate_number string
Possible values: non-empty
The vehicle license plate number.
order_date date
The date when the goods or services were ordered in ISO 8601 format.
payment object
An object that represents detailed information about the payment method related to this document.
card_number string
Possible values: non-empty
The last found digits of a credit or debit card number found on the document.
display_name string
Possible values: non-empty
The card type plus the last four digits of the card number found on the document.
terms string
Possible values: non-empty
The terms on when and how to pay found on the document. Typically found on invoices.
type string
Possible values: [none, master_card, visa, cash, american_express, interac, other, maestro, bancontact, discover, girocard, paypal, applepay, bancomat, octopus, check, bankaxept, card, waon, mada, jcb, bank-to-bank_transfer_bacs, wechat, alipay, pix, unionpay, rupay, bpay, shopeepay, googlepay, giftcard, paypay]
The payment type found on the document.
previous_balance number
The previous invoice balance.
purchase_order_number string
Possible values: non-empty
The unique identification number assigned to a purchase order document. A purchase order is a document given from a buyer to a seller that details the quantity, prices, and total cost of requested goods and services.
rounding number
An extracted 'discount' (rounding) that vendors give to customers so they do not have to pay with small coins. For example, if a customer paid with cash and a vendor did not have a change of 4 cents, they would round the number and return 5 cents.
server_name string
Possible values: non-empty
The restaurant's server name.
service_start_date date
The date indicating the beginning of a service. The start date could be a flight departure date or hotel arrival date in ISO 8601 format.
service_end_date date
The date indicating the end of a service. The end date could be a flight arrival date or hotel departure date in ISO 8601 format.
ship_date date
The date when the order was or will be shipped in ISO 8601 format.
ship_to object
An object that represents the information about a person or business receiving an order.
address string
Possible values: non-empty
The delivery address found on the document.
name string
Possible values: non-empty
The name of the person or business who will receive the delivery and found on the document.
parsed_address object
An object representing detailed address-related information on the document, such as the city, state, street address, unit number, etc. Filled in the original POST request had the parameter parse_address set to true and the corresponding address is found on the document.
building string
Possible values: non-empty
The building name e.g. 'Project 8' or 'Empire State Building'
city string
Possible values: non-empty
The settlement including cities, towns, villages, hamlets, localities, etc.
country string
Possible values: non-empty
The sovereign nations and their dependent territories, anything with an ISO-3166 code.
country_alpha_2 string
Possible values: non-empty
The detected ISO 3166-1 alpha-2 code for a given country.
postcode string
Possible values: non-empty
The postal code used for mail sorting
state string
Possible values: non-empty
A first-level administrative division. Scotland, Northern Ireland, Wales, and England in the UK are mapped to "state" as well
street_address string
Possible values: non-empty
A sum of house_number road, building, unit.
house string
Possible values: non-empty
The venue name e.g. "Brooklyn Academy of Music", and building names e.g. "Empire State Building".
house_number string
Possible values: non-empty
Usually refers to the external (street-facing) building number. In some countries this may be a compound, hyphenated number, which also includes an apartment number, or a block number (a la Japan).
road string
Possible values: non-empty
Street name(s)
unit string
Possible values: non-empty
An apartment, unit, office, lot, or other secondary unit designator.
level string
Possible values: non-empty
The expressions indicating a floor number e.g. "3rd Floor", "Ground Floor", etc.
staircase string
Possible values: non-empty
Numbered/lettered staircase
entrance string
Possible values: non-empty
Numbered/lettered entrance
po_box string
Possible values: non-empty
The post office box, typically found in non-physical (mail-only) addresses.
suburb string
Possible values: non-empty
An unofficial neighborhood name like "Harlem", "South Bronx", or "Crown Heights".
city_district string
Possible values: non-empty
The boroughs or districts within a city that serve some official purpose e.g. "Brooklyn" or "Hackney" or "Bratislava IV".
island string
Possible values: non-empty
Named islands e.g. "Maui"
state_district string
Possible values: non-empty
Usually a second-level administrative division or county.
country_region string
Possible values: non-empty
Informal subdivision of a country without any political status.
world_region string
Possible values: non-empty
Only used for appending "West Indies" after the country name, a pattern frequently used in the English-speaking Caribbean e.g. "Jamaica, West Indies".
shipping number
The cost of shipping or delivery of a package.
store_number string
Possible values: non-empty
The subsidiaries, vendor, corporation, or organization identification number used for unique referencing.
subtotal number
Total charges and credits before tip and tax, if applicable. This value is computable.
tax number
The tax amount applied to the purchase(s). This value is computable.
tip number
The amount of money that is given to someone for a service, also called gratuity. Usually present on receipts, not invoices. This value is computable.
total number
The gross amount, including subtotal, tax, fees, etc. This value is computable.
total_quantity number
The total quantity of items found on the document. In most cases, this number equals the sum of line item quantities.
total_weight string
Possible values: non-empty
The total weight of all items listed on the document. Typically found on invoices.
tracking_number string
Possible values: non-empty
The unique identifier assigned to a package for referencing its shipping information.
tracking_numbers object[]
An array of unique identification numbers assigned to packages for referencing shipping information.
Array [
anyOf
MOD1
string
]
vending_person string
Possible values: non-empty
The person or business who has provided services found on the document. This is the same as server_name.
vending_person_number string
Possible values: non-empty
Identifier for the person or business who has provided services. Typically 'Cashier Number' on receipts or 'Sales Manager Number' on invoices.
vendor object
An object containing a detailed breakdown of vendor elements.
abn_number string
Possible values: non-empty
An Australian Business Number (ABN) is a unique 11-digit number that identifies a business to the government and community and found on the document.
account_currency string
Possible values: [RSD, MOP, VEF, AFN, FKP, LTL, MVR, PAB, MNT, LVL, CLP, BMD, AED, GYD, KWD, OMR, KGS, ZAR, XCD, VND, TWD, YER, TRY, SAR, HRK, GIP, BBD, EGP, EEK, KPW, PKR, RUB, GHC, MKD, NGN, TRL, AUD, KYD, MXN, MZN, LBP, NZD, BRL, GBP, LKR, HTG, IMP, MYR, QAR, BOB, BND, NIO, LRD, LAK, RON, EUR, GTQ, USD, ZWD, LSL, BGN, PYG, CNY, SCR, SEK, TVD, KHR, IDR, NAD, UGX, ANG, SRD, ILS, COP, KZT, CHF, SYP, ARS, BYR, SBD, AMD, THB, BWP, GGP, GEL, IQD, NPR, AZN, DKK, PHP, JPY, UYU, GNF, DOP, PLN, BAM, CRC, IRR, SGD, BHD, HUF, CAD, PEN, SVC, JMD, FJD, HKD, JEP, CZK, CUP, AWG, BSD, KRW, SOS, TTD, MUR, ISK, HNL, SHP, NOK, UZS, UAH, BZD, SZL, ALL, INR]
The currency of the vendor bank account if indicated. Provides the ability to support multiple bank accounts for bill pay use cases, e.g., a separate bank account for you to pay in Euros and a separate to pay in US Dollars.
account_number string
Possible values: non-empty
The vendor's bank account number.
address string
Possible values: non-empty
The address of the vendor.
biller_code string
Possible values: non-empty
The vendor identification code in a payment system.
bank_breakdown object[]
A detailed list of banking information.
Array [
vendor_account_currency string
Possible values: [RSD, MOP, VEF, AFN, FKP, LTL, MVR, PAB, MNT, LVL, CLP, BMD, AED, GYD, KWD, OMR, KGS, ZAR, XCD, VND, TWD, YER, TRY, SAR, HRK, GIP, BBD, EGP, EEK, KPW, PKR, RUB, GHC, MKD, NGN, TRL, AUD, KYD, MXN, MZN, LBP, NZD, BRL, GBP, LKR, HTG, IMP, MYR, QAR, BOB, BND, NIO, LRD, LAK, RON, EUR, GTQ, USD, ZWD, LSL, BGN, PYG, CNY, SCR, SEK, TVD, KHR, IDR, NAD, UGX, ANG, SRD, ILS, COP, KZT, CHF, SYP, ARS, BYR, SBD, AMD, THB, BWP, GGP, GEL, IQD, NPR, AZN, DKK, PHP, JPY, UYU, GNF, DOP, PLN, BAM, CRC, IRR, SGD, BHD, HUF, CAD, PEN, SVC, JMD, FJD, HKD, JEP, CZK, CUP, AWG, BSD, KRW, SOS, TTD, MUR, ISK, HNL, SHP, NOK, UZS, UAH, BZD, SZL, ALL, INR]
The currency of the vendor bank account if indicated. Provides the ability to support multiple bank accounts for bill pay use cases, e.g., a separate bank account for you to pay in Euros and a separate to pay in US Dollars.
vendor_account_number string
Possible values: non-empty
The vendor's bank account number.
vendor_bank_address string
Possible values: non-empty
The address of the vendor bank.
parsed_address object
An object representing detailed address-related information on the document, such as the city, state, street address, unit number, etc. Filled in the original POST request had the parameter parse_address set to true and the corresponding address is found on the document.
building string
Possible values: non-empty
The building name e.g. 'Project 8' or 'Empire State Building'
city string
Possible values: non-empty
The settlement including cities, towns, villages, hamlets, localities, etc.
country string
Possible values: non-empty
The sovereign nations and their dependent territories, anything with an ISO-3166 code.
country_alpha_2 string
Possible values: non-empty
The detected ISO 3166-1 alpha-2 code for a given country.
postcode string
Possible values: non-empty
The postal code used for mail sorting
state string
Possible values: non-empty
A first-level administrative division. Scotland, Northern Ireland, Wales, and England in the UK are mapped to "state" as well
street_address string
Possible values: non-empty
A sum of house_number road, building, unit.
house string
Possible values: non-empty
The venue name e.g. "Brooklyn Academy of Music", and building names e.g. "Empire State Building".
house_number string
Possible values: non-empty
Usually refers to the external (street-facing) building number. In some countries this may be a compound, hyphenated number, which also includes an apartment number, or a block number (a la Japan).
road string
Possible values: non-empty
Street name(s)
unit string
Possible values: non-empty
An apartment, unit, office, lot, or other secondary unit designator.
level string
Possible values: non-empty
The expressions indicating a floor number e.g. "3rd Floor", "Ground Floor", etc.
staircase string
Possible values: non-empty
Numbered/lettered staircase
entrance string
Possible values: non-empty
Numbered/lettered entrance
po_box string
Possible values: non-empty
The post office box, typically found in non-physical (mail-only) addresses.
suburb string
Possible values: non-empty
An unofficial neighborhood name like "Harlem", "South Bronx", or "Crown Heights".
city_district string
Possible values: non-empty
The boroughs or districts within a city that serve some official purpose e.g. "Brooklyn" or "Hackney" or "Bratislava IV".
island string
Possible values: non-empty
Named islands e.g. "Maui"
state_district string
Possible values: non-empty
Usually a second-level administrative division or county.
country_region string
Possible values: non-empty
Informal subdivision of a country without any political status.
world_region string
Possible values: non-empty
Only used for appending "West Indies" after the country name, a pattern frequently used in the English-speaking Caribbean e.g. "Jamaica, West Indies".
vendor_bank_addresses object[]
Array [
anyOf
MOD1
string
]
vendor_bank_name string
Possible values: non-empty
The name of the bank. Could be part of invoice remittance information.
vendor_bank_names object[]
Array [
anyOf
MOD1
string
]
vendor_bank_number string
Possible values: non-empty
The bank routing number. Could be part of invoice remittance information.
vendor_bank_numbers string[]required
Possible values: non-empty
An array of bank routing numbers.
vendor_bank_swift string
Possible values: non-empty
The Society for Worldwide Interbank Financial Telecommunication (SWIFT) code is part of the ISO 9362 standards for sending money internationally.
vendor_iban string
Possible values: non-empty
The International Bank Account Number (IBAN) is a standard international numbering system developed to identify an overseas bank account.
]
bank_name string
Possible values: non-empty
The name of the bank. Could be part of invoice remittance information.
bank_number string
Possible values: non-empty
The bank routing number. Could be part of invoice remittance information.
bank_swift string
Possible values: non-empty
The Society for Worldwide Interbank Financial Telecommunication (SWIFT) code is part of the ISO 9362 standards for sending money internationally.
category stringdeprecated
Possible values: non-empty
Same as vendor.type
country_code string
Possible values: [GR, JO, EH, GI, HK, VC, CM, ZA, BJ, PF, SC, BF, ET, AT, TR, RU, QA, NF, MX, GY, MZ, GP, RS, CZ, GU, TK, GN, ID, JM, KG, IT, GT, AS, AF, RE, BL, ES, SE, PA, VE, CI, NU, AI, LC, GW, SN, KR, KP, BD, AE, PH, BO, BE, UA, BW, CO, DZ, PS, MR, SH, TT, PG, KM, SM, WF, MF, DM, UM, CX, PY, KN, BR, AX, EC, LU, TC, OM, MM, DO, BY, IO, IE, SA, SZ, LR, MS, SV, CA, VA, GF, HM, AL, NG, LK, KI, GB, AR, UG, PW, AN, TF, NO, PE, BM, DE, UZ, VU, TN, SI, IN, SY, BN, GL, GA, MT, HR, YT, PT, GH, NA, TG, LY, AW, TJ, NR, FK, NZ, BV, HN, MY, LA, DK, MP, HU, KE, PM, TZ, LI, AQ, ME, PL, MV, TM, IM, GM, MQ, BI, ZW, CU, BS, BG, CN, EE, JP, MK, MW, ST, SG, KY, PK, UY, NL, SB, MD, US, MA, TH, SL, AU, NP, VI, CH, CF, MU, ZM, IS, BZ, CG, WS, CK, BH, SK, EG, GQ, BA, KZ, ML, MC, GS, ER, VG, CY, YE, LV, JE, PN, GE, SR, IR, MH, SO, TV, VN, AG, FM, FR, GG, HT, AZ, CL, LT, RW, NI, FI, CV, GD, SJ, TO, LB, AM, TD, KW, MG, KH, CR, FO, MN, LS, IQ, PR, SD, TW, TL, AO, CD, NC, CC, MO, BB, FJ, DJ, RO, IL, NE, AD, BT]
The country code belonging to a vendor
email string
Possible values: non-empty
The vendor's email address.
external_id string
Possible values: non-empty
A custom identification field. Set by matching to a client-provided list of vendors.
fax_number string
Possible values: non-empty
The fax number of the vendor.
iban string
Possible values: non-empty
The International Bank Account Number (IBAN) is a standard international numbering system developed to identify an overseas bank account.
lat number
The latitude coordinates for the location of this vendor. This is an enriched parameter from a third-party resource not found in the document.
lng number
The longitude coordinates for the location of this vendor. This is an enriched parameter from a third-party resource not found in the document.
logo uri
Possible values: non-empty and <= 2083 characters
A URL to the vendor's logo. This is an enriched convenience parameter and is not found on the document.
logo_name string
Possible values: non-empty
A vendor logo found on the document.
map_url uri
Possible values: non-empty and <= 2083 characters
A URL to the vendor's location on Google Maps. This is an enriched convenience parameter and is not found on the document.
name string
Possible values: non-empty
The normalized name of the vendor.
parsed_address object
An object representing detailed address-related information on the document, such as the city, state, street address, unit number, etc. Filled in the original POST request had the parameter parse_address set to true and the corresponding address is found on the document.
building string
Possible values: non-empty
The building name e.g. 'Project 8' or 'Empire State Building'
city string
Possible values: non-empty
The settlement including cities, towns, villages, hamlets, localities, etc.
country string
Possible values: non-empty
The sovereign nations and their dependent territories, anything with an ISO-3166 code.
country_alpha_2 string
Possible values: non-empty
The detected ISO 3166-1 alpha-2 code for a given country.
postcode string
Possible values: non-empty
The postal code used for mail sorting
state string
Possible values: non-empty
A first-level administrative division. Scotland, Northern Ireland, Wales, and England in the UK are mapped to "state" as well
street_address string
Possible values: non-empty
A sum of house_number road, building, unit.
house string
Possible values: non-empty
The venue name e.g. "Brooklyn Academy of Music", and building names e.g. "Empire State Building".
house_number string
Possible values: non-empty
Usually refers to the external (street-facing) building number. In some countries this may be a compound, hyphenated number, which also includes an apartment number, or a block number (a la Japan).
road string
Possible values: non-empty
Street name(s)
unit string
Possible values: non-empty
An apartment, unit, office, lot, or other secondary unit designator.
level string
Possible values: non-empty
The expressions indicating a floor number e.g. "3rd Floor", "Ground Floor", etc.
staircase string
Possible values: non-empty
Numbered/lettered staircase
entrance string
Possible values: non-empty
Numbered/lettered entrance
po_box string
Possible values: non-empty
The post office box, typically found in non-physical (mail-only) addresses.
suburb string
Possible values: non-empty
An unofficial neighborhood name like "Harlem", "South Bronx", or "Crown Heights".
city_district string
Possible values: non-empty
The boroughs or districts within a city that serve some official purpose e.g. "Brooklyn" or "Hackney" or "Bratislava IV".
island string
Possible values: non-empty
Named islands e.g. "Maui"
state_district string
Possible values: non-empty
Usually a second-level administrative division or county.
country_region string
Possible values: non-empty
Informal subdivision of a country without any political status.
world_region string
Possible values: non-empty
Only used for appending "West Indies" after the country name, a pattern frequently used in the English-speaking Caribbean e.g. "Jamaica, West Indies".
phone_number string
Possible values: non-empty
The phone number of the vendor.
raw_address string
Possible values: non-empty
The raw vendor address exactly as found on the document.
raw_name string
Possible values: non-empty
The raw vendor name exactly as found on the document.
reg_number string
Possible values: non-empty
The vendor registration number. In the U.S., this would be the Employer Identification Number (EIN). Does not include VAT (Europe) or EIN (US), which are recorded as vat_number.
type object
A classification of the vendor, such as drugstore or convenience store. The vendor type predicted by Veryfi. Can also be extracted from third party enrichment
anyOf
MOD1
string
MOD2
string
order_number string
Possible values: non-empty
The unique identification number for the order and set by the vendor. Typically found on invoices.
vat_number string
Possible values: non-empty
The value-added tax identification number (VAT) for this vendor and found on the document. VAT numbers can be found on European invoices. For United States invoices, the Employer Identification Number (EIN) of the vendor.
web string
Possible values: non-empty
The vendor's website address (URL).
vendors object[]
An array of all found vendors by vendors.raw_name, including those found with vendor.abn_number and found on the document.
Array [
anyOf
MOD1
string
]
vin_number string
Possible values: non-empty
A vehicle identification number (VIN) is a unique code assigned to every motor vehicle when it's manufactured and found on the document.
weights object[]
An array of the weights found on the document.
Array [
anyOf
MOD1
string
]

Example (from schema)

{}

400

User error

application/json

Schema

Schema

oneOf

COULDNT_DOWNLOAD_FILE_FROM_PROVIDED_URL

status string

Default value: fail

error string

Default value: Couldn't download file from provided url.

details undefined[]

Default value: [object Object]

RECEIVED_EMPTY_OR_MISSING_DATA

status string

Default value: fail

error string

Default value: Received empty or missing data

NO_FILES_TO_PROCESS

status string

Default value: fail

error string

Default value: No files to process

FILE_IS_CORRUPTED

status string

Default value: fail

error string

Default value: File is corrupted

THE_FILE_IS_TOO_BIG

status string

Default value: fail

error string

Default value: The file is too big

IMAGE_DIMENSIONS_ARE_TOO_SMALL

status string

Default value: fail

error string

Default value: Image dimensions are too small

details undefined[]

Default value: [object Object]

Example (from schema)

{}

403

User error

application/json

Schema

Schema

oneOf

AUTHENTICATION_CREDENTIALS_WERE_NOT_PROVIDED

status string

Default value: fail

error string

Default value: Authentication credentials were not provided.

Example (from schema)

{}

404

Not found

application/json

Schema

Schema

oneOf

NOT_FOUND

status string

Default value: fail

error string

Default value: Not found.

DOCUMENT_NOT_FOUND

status string

Default value: fail

error string

Default value: Document Not Found

Example (from schema)

{}

413

Request body too large

application/json

Schema

Schema

oneOf

REQUEST_BODY_TOO_LARGE

status string

Default value: fail

error string

Default value: Request body too large

Example (from schema)

{}

429

Rate limit

application/json

Schema

Schema

oneOf

YOU_HAVE_BEEN_RATE_LIMITED

status string

Default value: fail

error string

Default value: You have been rate limited

details undefined[]

Default value: [object Object]

Example (from schema)

{}

499

User error

application/json

Schema

Schema

oneOf

CLIENT_CLOSED_REQUEST_OR_LOST_CONNECTION

status string

Default value: fail

error string

Default value: Client closed request or lost connection

Example (from schema)

{}

503

Service is temporarily unavailable

application/json

Schema

Schema

oneOf

SERVICE_IS_TEMPORARILY_UNAVAILABLE_PLEASE_TRY_AGAIN_LATER

status string

Default value: fail

error string

Default value: Service is temporarily unavailable. Please try again later

Example (from schema)

{}

504

Gateway timeout. Returned if request takes more than 150 seconds. The request might finish successfully later.

application/json

Schema

Schema

oneOf

GATEWAY_TIMEOUT

status string

Default value: fail

error string

Default value: Gateway timeout

Example (from schema)

{}

default

OperationStatus

application/json

Schema

Schema

status string

Default value: fail

error stringrequired
details object[]

Example (from schema)

{
  "status": "fail",
  "error": "string",
  "details": [
    {}
  ]
}

Loading...