Update a Bank Statement

PUT 
/api/v8/partner/bank-statements/:document_id

Veryfi's Update a Document by ID endpoint allows you to change a Document that Veryfi's Machine Learning models have already processed. This feature will enable users to update Documents previously processed by Veryfi to ensure data extraction accuracy. Updating a Document is especially useful for correcting mistakes and updating information over time. By changing a processed Document, Veryfi's Machine Learning models can re-learn the updated information, allowing them to stay accurate and up-to-date.

Request

Path Parameters

document_id int64required

The unique identifier of the document.

application/json

Body

external_id (string | null)deprecated

Possible values: non-empty

Deprecated 2025-01-09, use meta.external_id instead.

meta PutMeta

external_id (string | null)

Possible values: non-empty

tags string[]

Possible values: non-empty

Default value: ``

accounts object[]
Array [
number objectrequired
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
beginning_balance object
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.
value (number | null)required
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
]
ending_balance object
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.
value (number | null)required
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
]
transactions object[]
Array [
order (integer | null)
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.
anyOf
balance object
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.
value (number | null)required
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
]
card_number object
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
category object
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
credit_amount object
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.
value (number | null)required
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
]
date object
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.
value daterequired
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
]
posted_date object
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.
value daterequired
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
]
debit_amount object
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.
value (number | null)required
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
]
description object
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
transaction_id object
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
text object
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
]
summaries object[]
Array [
name objectrequired
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
total objectrequired
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.
value (number | null)required
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
]
]
iban_number object
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.
value (string | null)required
Possible values: >= 4 characters
The value to update
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
]
]
account_holder_address object
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.
value (string | null)required
Possible values: >= 4 characters
The value to update
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
]
account_holder_name object
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
account_number object
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
account_type object
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
account_vat_number object
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.
value (string | null)required
Possible values: >= 4 characters
The value to update
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
]
bank_address object
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.
value (string | null)required
Possible values: >= 4 characters
The value to update
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
]
bank_name object
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
bank_vat_number object
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.
value (string | null)required
Possible values: >= 4 characters
The value to update
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
]
bank_website object
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.
value (string | null)required
Possible values: >= 4 characters
The value to update
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
]
beginning_balance object
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.
value (number | null)required
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
]
currency_code object
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
due_date object
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.
value daterequired
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
]
ending_balance object
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.
value (number | null)required
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
]
iban_number object
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.
value (string | null)required
Possible values: >= 4 characters
The value to update
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
]
minimum_due object
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.
value (number | null)required
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
]
period_end_date object
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.
value daterequired
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
]
period_start_date object
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.
value daterequired
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
]
routing_number object
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.
value (string | null)required
Possible values: >= 4 characters
The value to update
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
]
statement_date object
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.
value daterequired
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
]
statement_number object
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.
value (string | null)required
Possible values: non-empty
The value to update
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
]
swift object
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.
value (string | null)required
Possible values: >= 4 characters
The value to update
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
]

Responses

200

A processed Bank Statement response.

application/json

Schema

Schema

external_id (string | null)

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.

meta object
external_id (string | null)
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.
pages object[]
Array [
ocr_score (number | null)
Possible values: <= 1
The average OCR score of the page.
width (integer | null)
The width of the page.
height (integer | null)
The height of the page.
]
tags string[]
Possible values: non-empty
Default value: ``
Tags associated with the document.
ocr_score (number | null)
Possible values: <= 1
The average OCR score of the whole document.
model (string | null)
Possible values: non-empty
The version of the model used to process the document.
original_file_name (string | null)
Possible values: non-empty
The original file name of the uploaded document.
source string
Possible values: [api.email, api.web, api, browser_extension, 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.
duplicates object[]
An array of duplicate documents found in the system.
Array [
id integerrequired
The id of the duplicate document.
url urirequired
Possible values: non-empty and <= 2083 characters
The url of the duplicate document.
score numberrequired
Possible values: <= 1
How close is the match
]
fraud BankStatementsFraud
An object that contains additional information to identify fraud.
score (number | null)
Possible values: <= 1
Confidence of Fraud Detector in it's prediction
color (string | null)
Possible values: [green, yellow, red]
Color from Fraud Detector: green means legitimate, yellow means review needed and red means fraud
not_a_document ClassBoolField
The detection behind the not a document fraud type, including its verdict and confidence score.
score (number | null)
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.
types string[]
Possible values: [LCD photo, not a document, duplicate, digital background, screenshot, digital tampering, fraudulent pdf, fraudulent image, high velocity, critical velocity, generic content, stopwords]
List of attributions which marked the document as fraud
details BankStatementFraudDetails
Strictly typed descriptions and reasons keyed by fraud type.
lcd_photo _FraudTypeDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
not_a_document _FraudTypeDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
duplicate _FraudTypeDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
digital_background _FraudTypeDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
screenshot _ScreenshotDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
reasons object[]
Array [
name stringrequired
Possible values: [mobile_screenshot, other_screenshot]
description stringrequired
Possible values: non-empty
]
digital_tampering _FraudTypeDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
fraudulent_pdf _FraudulentPDFDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
reasons object[]
Array [
anyOf
_FraudulentPDFSignalReason
name stringrequired
Possible values: [text_overlay, font_mismatch, modified, date_inversion, producer_content_mismatch, writer_mismatch, null_metadata, xmp_info_mismatch, future_metadata_date, raster_profile_mismatch, uncompressed_raster, double_jpeg, scrubbed_provenance]
description stringrequired
Possible values: non-empty
_FraudulentPDFMetadataReason
name stringrequired
description stringrequired
Possible values: non-empty
field (string | null)
Possible values: [creator, producer]
value (string | null)
Possible values: non-empty
_FraudulentPDFSplicedPageReason
name stringrequired
description stringrequired
Possible values: non-empty
page (integer | null)
Possible values: > 0
1-based number of the first page written after the pages surrounding it. Later pages may belong to the same block.
]
fraudulent_image _FraudulentImageDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
reasons object[]
Array [
anyOf
_FraudulentImageSignalReason
name stringrequired
Possible values: [double_jpeg, scrubbed_provenance, unprofiled_png, unprofiled_webp, synthetic_raster]
description stringrequired
Possible values: non-empty
_FraudulentImageEditorReason
name stringrequired
description stringrequired
Possible values: non-empty
field (string | null)
Possible values: [icc_profile, exif:Software, exif:ProcessingSoftware, xmp:CreatorTool, png:Software, jpeg:comment]
value (string | null)
Possible values: non-empty
_FraudulentImageGeneratorReason
name stringrequired
Possible values: [generator_signature, generator_writer_profile]
description stringrequired
Possible values: non-empty
value (string | null)
Possible values: non-empty
]
high_velocity _FraudTypeDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
critical_velocity _FraudTypeDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
generic_content _FraudTypeDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
stopwords _FraudTypeDetails
description stringrequired
Possible values: non-empty
Human-readable explanation of the fired fraud type.
submissions object
The amount of submissions from specific device id, used in velocity fraud detection.
property name* integer
duplicate_detection_method (string | null)
Possible values: [text_similarity, field_matching]
Method used to detect duplicates for fraud
duplicates object[]
An array of duplicate documents found for purposes of fraud detection
Array [
id integerrequired
The id of the duplicate document.
url urirequired
Possible values: non-empty and <= 2083 characters
The url of the duplicate document.
]
fraudulent_pdf FraudulentPDFResult
Results of the pdf analysis. Every key is always reported, so a check nothing could answer is null rather than missing.
fraudulent_pdf_creator (number | null)
text_overlay (number | null)
font_mismatch (number | null)
has_digital_signature (boolean | null)
pdf_modified (number | null)
incremental_updates (integer | null)
incremental_changes string[]
Possible values: non-empty
What incremental PDF revisions changed.
incremental_edits object[]
Which word an incremental PDF revision replaced, and on which page.
Array [
page integerrequired
Possible values: > 0
1-based number of the page the edit landed on.
before (string | null)
Possible values: non-empty
The replaced word, or null when the word was inserted.
after (string | null)
Possible values: non-empty
The replacing word, or null when the word was deleted.
]
signature_creation_tools string[]
Possible values: non-empty
date_inversion (number | null)
producer_content_mismatch (number | null)
writer_mismatch (number | null)
null_metadata (number | null)
xmp_info_mismatch (number | null)
future_metadata_date (number | null)
raster_profile_mismatch (number | null)
uncompressed_raster (number | null)
spliced_page (number | null)
spliced_page_number (integer | null)
Possible values: > 0
1-based number of the first page written after the pages surrounding it. Later pages may belong to the same block.
headless_desktop_render (number | null)
Score for a PDF an automated browser rendered from a desktop operating system. It is reported here but scored against the generated document signal, so it does not move the fraudulent pdf score.
headless_render_platform (string | null)
Possible values: non-empty
Operating system named by the headless browser that rendered the PDF. Reported for every headless render, including the server platforms that do not score.
double_jpeg (number | null)
Score for a raster that was JPEG-compressed more than once. An original capture is compressed exactly once, so a second compression means the file is not the first-generation scan it presents itself as. Null when nothing was in a position to answer, which is not the same as a 0.0 saying something was examined and this did not fire. Disabled by default, so it reports null until it is enabled for your account.
first_quantization_quality (integer | null)
Possible values: > 0
JPEG quality of the first compression, recovered from the coefficient histograms. Evidence for a reviewer rather than a score, and null when nothing coherent was recovered.
scrubbed_provenance (number | null)
Score for a raster whose encoder signature carries no provenance: grayscale content in a subsampled colour JPEG, no EXIF, a placeholder JFIF density and a stock quantization table. Reaches the same conclusion as double_jpeg for a re-encode too coarse to leave a recoverable first compression. Null when nothing was in a position to answer, which is not the same as a 0.0 saying something was examined and this did not fire. Disabled by default, so it reports null until it is enabled for your account.
score (number | null)
Highest of the scores above, and what the fraudulent pdf signal contributes. Stays a number where its fraudulent_image counterpart would report null: pdf_modified answers off exif-reader's signals rather than off a document we opened, so there is an aggregate to report even for an upload holding no PDF. With the signal off every other key is null, which is how that case is told apart from an upload that merely carried no PDF.
fraudulent_image FraudulentImageResult
Results of the image forensics analysis, for a document that arrived as a picture rather than a PDF. Absent when the signal is switched off for your account.
double_jpeg (number | null)
Score for a document image that was JPEG-compressed more than once. An original capture is compressed exactly once, so a second compression means the file is not the first-generation photo it presents itself as. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Only a JPEG-family raster can answer it, so a PNG reports null. Disabled by default.
scrubbed_provenance (number | null)
Score for a document image whose encoder signature carries no provenance: grayscale content in a subsampled colour JPEG, no EXIF, a placeholder JFIF density and a stock quantization table. Reaches the same conclusion as double_jpeg for a re-encode too coarse to leave a recoverable first compression. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Disabled by default.
first_quantization_quality (integer | null)
Possible values: > 0
JPEG quality of the first compression, recovered from the coefficient histograms. Evidence for a reviewer rather than a score, and absent when nothing coherent was recovered.
editor_signature (number | null)
Score for an image that names an image editor in its own metadata. Read as a reason to review rather than to reject: an editor naming itself on a photograph may be an honest user cropping a receipt before uploading it, which is why it scores lower here than the same tool named on a PDF. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Formats that carry neither an ICC profile nor EXIF, which is BMP and GIF, can never answer it.
editor_signature_field (string | null)
Possible values: [icc_profile, exif:Software, exif:ProcessingSoftware, xmp:CreatorTool, png:Software, jpeg:comment]
Which metadata surface named the editor. Exactly one is ever reported, the first that matched.
editor_signature_value (string | null)
Possible values: non-empty
The literal string the file declared, which is what a reviewer acts on rather than the score.
generator_signature (number | null)
Score for an image a server-side rendering library declares it wrote, such as libgd naming itself in a JPEG comment segment. Scores far above the editor signature because the finding is different: an editor names itself on a photograph somebody cropped, while a rendering library names itself on a page nothing ever photographed. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Only a format that can carry metadata can answer it.
generator_signature_field (string | null)
Possible values: [icc_profile, exif:Software, exif:ProcessingSoftware, xmp:CreatorTool, png:Software, jpeg:comment]
Which metadata surface named the library. The same surfaces the editor signature reads, and as there exactly one is ever reported.
generator_signature_value (string | null)
Possible values: non-empty
The literal string the file declared, which is what a reviewer acts on.
generator_writer_profile (number | null)
The same finding on a format where nothing is declared: a PNG whose chunk sizing, compression level and absence of provenance are libpng's own defaults, which is how the same libraries emit PNG. Reported rather than inferred from the file naming itself, because on this format it never does. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Only a PNG can answer it.
generator_writer_profile_value (string | null)
Possible values: non-empty
The writer profile that matched, naming the evidence rather than restating the score. Deliberately has no _field companion, unlike the two signatures above: the profile is read off the container itself rather than off one named surface.
synthetic_raster (number | null)
Score for a raster too flat to have come off a sensor: an indexed palette, very few distinct colours, or no chroma variation at all. Ships at 0.0 and so contributes nothing to score — it is reported for the rate while a screenshot of a genuine receipt is still indistinguishable from a drawn one. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire.
synthetic_raster_fingerprints string[]
Possible values: non-empty
Which of those measurements matched, sorted. Evidence for a reviewer rather than a score, and the set grows as the detector learns to name more of them, so read it as a list of strings rather than a fixed vocabulary.
unprofiled_png (number | null)
Score for a PNG carrying no colour or provenance chunk at all, as a rendering library writes and a camera pipeline does not. Ships at 0.0 for the same reason as synthetic_raster: screenshot tools and our own rasterizer write the identical bare file. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Only a PNG can answer it.
unprofiled_webp (number | null)
The same check on WebP, and ships at 0.0 for a different reason than the two above: too little genuine WebP has been seen to say what the rate would be. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Only a WebP can answer it.
source (string | null)
Possible values: [original, render]
Which bytes were read. original is the upload as submitted and is the only value for which the compression scores above can be reported. render is a page render taken after cropping, rotation and format conversion, which destroys compression evidence and can manufacture it, so those two report null against it. Null means nothing was selected to read at all; a file that was selected but could not be fetched or opened reports a source together with a non-zero unreadable_source.
source_formats string[]
Possible values: non-empty
Formats of the files that were read, as the image library names them. Note HEIF rather than HEIC, and MPO for a .jpg holding multiple frames, as a phone HDR capture does.
unreadable_source (integer | null)
How many selected files could not be opened. Can exceed one on a multi-file upload. A non-zero value here alongside a set source is the expected shape when an original has already been deleted, rather than a fault.
score (number | null)
Highest of the scores above, and what the fraudulent image signal contributes. Follows the same rule they do: null when not one of them was in a position to answer, and 0.0 when at least one was and nothing fired. So a page render scores a real 0.0, the compression pair having declined but the editor signature having run. The checks that ship at 0.0 are in the max like any other, which is why they can report a hit without moving it.
pages object[]
An array containing fraud info about each extracted page
Array [
anyOf
BankStatementFraudPage
is_lcd ClassBoolField
score (number | null)
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.
flags object[]
List of flags which marked the document as fraud
Array [
score (number | null)
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
]
ai_generated ClassBoolField
score (number | null)
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.
handwriting object[]
An array containing handwriting info about each extracted page
Array [
bounding_region number[]required
Possible values: >= 8, <= 8
Bounding region of the artifact in [x1,y1,x2,y2,x3,y3,x4,y4] format
type stringrequired
Possible values: non-empty
Type of the artifact
score number
]
digital_tampering object[]
An array containing digital tampering info about each extracted page
Array [
bounding_region number[]required
Possible values: >= 8, <= 8
Bounding region of the artifact in [x1,y1,x2,y2,x3,y3,x4,y4] format
type stringrequired
Possible values: non-empty
Type of the artifact
score number
]
]
warnings object[]
An array of warnings to help catch errors or fraud on the processed bank statement.
Array [
type stringrequired
Possible values: [tax_rate_mismatch, item_counts_mismatch, totals_mismatch, line_item_amount_mismatch, line_item_repeats, barcode_decoding_issue, barcode_code_missing_in_ocr, logo_vendor_mismatch, malware, weekend_transaction, time_and_currency_mismatch, exif_creation_modified_date_mismatch, missing_date, suspicious_document_aspect_ratio, generic_placeholder_content]
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.
]
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-timerequired
updated_date date-timerequired
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.

accounts object[]required
Array [
summaries object[]required
Summary information
Array [
name object
The title or label that captures the main information
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
total object
The overall amount calculated from all transactions
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
]
transactions object[]required
A list of transactions associated with the account.
Array [
order integerrequired
The value indicating the position of where the transaction appears on the bank statement.
custom_fields CustomFields
A user-defined dictionary that contains all the custom fields generated by applying specific rules and regular expressions to the extracted data.
balance DetailedFloatField
The balance after any credit or debits have been applied from this transaction.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
card_number object
A credit card number associated with this transaction.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
credit_amount EnrichedDetailedNonNegativeFloatField
The amount credited from this transaction.
enriched (boolean | null)
Whether the value is enriched.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
date object
The date of the transaction in ISO 8601 format.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
posted_date DetailedDateField
The date the transaction was posted in ISO 8601 format.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
debit_amount EnrichedDetailedFloatField
The amount debited from this transaction.
enriched (boolean | null)
Whether the value is enriched.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
description object
The description of the transaction.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
category object
The category of the transaction.
score (number | null)
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 (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
vendor object
The vendor of the transaction.
score (number | null)
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 (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
transaction_id object
The unique identifier of the transaction.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
text object
The OCR text extracted from the transaction.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
]
number objectrequired
The account number associated with the bank statement.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
beginning_balance DetailedFloatFieldrequired
The balance at the beginning of the statement period.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
ending_balance DetailedFloatFieldrequired
The balance at the end of the statement period.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
iban_number object
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
]
account_holder_address objectrequired

The address of the account holder.

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

account_holder_name objectrequired

The name of the account holder.

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

account_number objectrequired

The account number associated with the bank statement.

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

account_numbers object[]required
Array [
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
]
account_type objectrequired

The type of account associated with the bank statement.

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

account_vat_number objectrequired

The unique identifier for businesses used for tax purposes

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

bank_address objectrequired

The address of the bank.

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

bank_name objectrequired

The name of the bank.

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

bank_vat_number objectrequired

The unique identifier assigned to a bank for tax purposes

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

bank_website objectrequired

The URL for the website of the bank.

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

beginning_balance objectrequired
The balance at the beginning of the statement period.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
currency_code objectrequired

The currency code associated with the bank statement.

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

due_date objectrequired
The date the payment is due in ISO 8601 format.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
ending_balance objectrequired
The balance at the end of the statement period.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
iban_number object

The International Bank Account Number

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

minimum_due objectrequired
The minimum amount due for the statement period.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
period_end_date objectrequired
The end date of the statement period in ISO 8601 format.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
period_start_date objectrequired
The start date of the statement period in ISO 8601 format.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
routing_number objectrequired

The routing number associated with the bank statement.

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

routing_numbers object[]required
Array [
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
]
statement_date objectrequired
The date of the statement in ISO 8601 format.
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
statement_number objectrequired

The unique identifier associated with the bank statement.

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

swift objectrequired

The unique identifier for a bank used in international transactions

score (number | null)

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 | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.

summaries object[]requireddeprecated
Deprecated. Please use accounts.summaries instead. Summary information
Array [
name object
The title or label that captures the main information
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (string | null)required
Possible values: non-empty
The extracted value. Nullable: null means nothing was extracted for this field. A parent object listed as required (for example document_type) only guarantees the object is present — value can still be null.
total object
The overall amount calculated from all transactions
score (number | null)
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 | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
]

Example (from schema)

{
  "meta": {
    "pages": [
      {}
    ],
    "tags": [
      "string"
    ],
    "source": "api",
    "duplicates": [],
    "fraud": {},
    "warnings": [
      {
        "type": "tax_rate_mismatch",
        "message": "string"
      }
    ]
  },
  "id": 0,
  "created_date": "2026-09-24T15:26:31.651Z",
  "updated_date": "2026-09-24T15:26:31.651Z",
  "accounts": [
    {
      "summaries": [
        {
          "name": {
            "rotation": 0
          },
          "total": {
            "rotation": 0
          }
        }
      ],
      "transactions": [
        {
          "order": 0,
          "custom_fields": {},
          "card_number": {
            "rotation": 0
          },
          "date": {
            "rotation": 0
          },
          "description": {
            "rotation": 0
          },
          "category": {},
          "vendor": {},
          "transaction_id": {
            "rotation": 0
          },
          "text": {
            "rotation": 0
          }
        }
      ],
      "number": {
        "rotation": 0
      },
      "iban_number": {
        "rotation": 0
      }
    }
  ],
  "account_holder_address": {
    "rotation": 0
  },
  "account_holder_name": {
    "rotation": 0
  },
  "account_number": {
    "rotation": 0
  },
  "account_numbers": [
    {
      "rotation": 0
    }
  ],
  "account_type": {
    "rotation": 0
  },
  "account_vat_number": {
    "rotation": 0
  },
  "bank_address": {
    "rotation": 0
  },
  "bank_name": {
    "rotation": 0
  },
  "bank_vat_number": {
    "rotation": 0
  },
  "bank_website": {
    "rotation": 0
  },
  "beginning_balance": {
    "rotation": 0
  },
  "currency_code": {
    "rotation": 0
  },
  "due_date": {
    "rotation": 0
  },
  "ending_balance": {
    "rotation": 0
  },
  "iban_number": {
    "rotation": 0
  },
  "minimum_due": {
    "rotation": 0
  },
  "period_end_date": {
    "rotation": 0
  },
  "period_start_date": {
    "rotation": 0
  },
  "routing_number": {
    "rotation": 0
  },
  "routing_numbers": [
    {
      "rotation": 0
    }
  ],
  "statement_date": {
    "rotation": 0
  },
  "statement_number": {
    "rotation": 0
  },
  "swift": {
    "rotation": 0
  }
}

400

User error

application/json

Schema

Schema

oneOf

MALFORMED_PARAMETERS

status string

Default value: fail

error string

Default value: Malformed parameters

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.

THIS_API_KEY_IS_NOT_PERMITTED_TO_ACCESS_THIS_ROUTE

status string

Default value: fail

error string

Default value: This API key is not permitted to access this route

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)

{}

500

Unexpected error

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 120 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

General error response

application/json

Schema

Schema

status string

Default value: fail

error stringrequired
details object[]

Example (from schema)

{
  "status": "fail",
  "error": "string"
}

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