Update a Check

PUT 
/api/v8/partner/checks/: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 stringdeprecated

Possible values: non-empty

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

meta object
external_id string
Possible values: non-empty
tags string[]
Possible values: non-empty
Default value: ``
amount_text_value number
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 numberrequired
Possible values: > 0
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
]
amount_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 stringrequired
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_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 stringrequired
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 stringrequired
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
]
fractional_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 stringrequired
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
]
micr object
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 stringrequired
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_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 stringrequired
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
]
serial_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 stringrequired
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
]
raw 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 stringrequired
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
]
check_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 stringrequired
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
]
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
]
is_signed object
value booleanrequired
memo 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 stringrequired
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
]
endorsement object
is_signed object
value booleanrequired
is_mobile_or_remote_deposit_only object
value booleanrequired
payer_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 stringrequired
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
]
payer_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 stringrequired
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
]
receiver_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 stringrequired
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
]
receiver_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 stringrequired
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
]
currency_code object

The currency code in ISO 4217 format.

value stringrequired

Possible values: [ARS, GHC, IDR, SRD, MOP, EUR, BBD, BHD, SCR, SOS, UGX, MVR, BRL, LRD, BWP, AZN, JPY, TTD, NOK, AMD, IMP, INR, XCD, BOB, LAK, RUB, CNY, BND, PYG, MUR, BMD, TRY, KWD, KZT, UZS, PHP, SZL, KYD, BGN, ANG, QAR, NIO, GGP, VEF, DOP, SVC, MKD, GIP, FKP, SBD, AWG, MZN, ZAR, FJD, CZK, SEK, CRC, KRW, LVL, USD, BAM, BYR, COP, HTG, OMR, MXN, CLP, GTQ, CAD, IQD, KHR, UYU, RON, GBP, AED, IRR, LSL, AFN, GYD, NAD, KGS, LTL, AUD, PKR, GNF, SAR, EEK, MNT, CUP, HNL, UAH, ZWD, HRK, ISK, NPR, HKD, EGP, GEL, JEP, HUF, VND, DKK, KPW, YER, TVD, ALL, PAB, SGD, BSD, MYR, SHP, THB, CHF, JMD, NZD, LKR, NGN, TWD, PEN, BZD, ILS, SYP, PLN, RSD, TRL, LBP]

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

Responses

200

A processed Check response.

application/json

Schema

Schema

external_id string

Possible values: non-empty

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

meta object

external_id string

Possible values: non-empty

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

pages object[]

Pages meta details

Array [

ocr_score number

Possible values: <= 1

The average OCR score of the page.

width integer

The width of the page.

height integer

The height of the page.

is_front boolean

Specifies whether the image represents the front side of the check.

is_blurry object

The processed page is blurry or not

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

value booleanrequired

The extracted value.

tiff_url uri

Possible values: non-empty and <= 2083 characters

The urls of the tiff file.

]

tags string[]

Possible values: non-empty

Default value: ``

Tags associated with the document.

ocr_score number

Possible values: <= 1

The average OCR score of the whole document.

model string

Possible values: non-empty

The version of the model used to process the document.

fraud object

An object that contains additional information to help check for fraud.

score number

Possible values: <= 1

Confidence of Fraud Detector in it's prediction

types string[]

Possible values: [LCD photo, not a document, duplicate, screenshot, generated document, aspect ratio mismatch]

List of attributions which marked the document as fraud

pages object[]

An array containing fraud info about each extracted page

Array [

anyOf

CheckFraudPage

is_lcd object

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

value booleanrequired

The extracted value.

flags object[]

List of flags which marked the document as fraud

Array [

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

value stringrequired

Possible values: non-empty

]

four_corners_detected boolean

Indicates that all four corners of the check are visible and within the boundaries of the image.

]

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: >= 0.7 and <= 1

The confidence score between 0 and 1.

]

amount_text_value number

The original amount_text found in the check converted to a float.

handwritten_fields string[]

Possible values: [amount, amount_text, bank_address, bank_name, fractional_routing_number, micr.raw, check_number, date, memo, payer_address, payer_name, receiver_address, receiver_name]

Default value: ``

Handwritten fields on check

digital_tampering_fields string[]

Possible values: [amount, amount_text, bank_address, bank_name, fractional_routing_number, micr.raw, check_number, date, memo, payer_address, payer_name, receiver_address, receiver_name]

Default value: ``

Digital tampering fields on check

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.

text string

The text returned from converting the document into a machine-readable text format.

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.

property name* any

Default value: [object Object]

A user-defined dictionary that contains all the custom fields generated by applying specific rules and regular expressions to the extracted data.

amount objectrequired
The numeric value representing the amount found on the document.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
amount_text objectrequired

The value as a string representing the amount found on the document.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

bank_address objectrequired

The address of the bank.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

bank_name objectrequired

The name of the bank.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

fractional_routing_number object

The numbers appearing as the denominator of a fraction that is printed in the upper portion of a check.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

routing_from_fractional objectrequired

The routing number from the found in the fractional_routing_number.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

check_number objectrequired

The check number.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

date objectrequired
The date in ISO 8601 format. Typically found on invoices.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value daterequired
memo objectrequired

The description found in the memo line of the check.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

payer_address objectrequired

The address of the payer.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

payer_name objectrequired

The name of the payer.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

receiver_address objectrequired

The address of the receiver.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

receiver_name objectrequired

The name of the receiver.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

is_signed objectrequired
Presence of a signature on the check (front of check image)
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value booleanrequired
currency_code objectrequired

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

value stringrequired

Possible values: [ARS, GHC, IDR, SRD, MOP, EUR, BBD, BHD, SCR, SOS, UGX, MVR, BRL, LRD, BWP, AZN, JPY, TTD, NOK, AMD, IMP, INR, XCD, BOB, LAK, RUB, CNY, BND, PYG, MUR, BMD, TRY, KWD, KZT, UZS, PHP, SZL, KYD, BGN, ANG, QAR, NIO, GGP, VEF, DOP, SVC, MKD, GIP, FKP, SBD, AWG, MZN, ZAR, FJD, CZK, SEK, CRC, KRW, LVL, USD, BAM, BYR, COP, HTG, OMR, MXN, CLP, GTQ, CAD, IQD, KHR, UYU, RON, GBP, AED, IRR, LSL, AFN, GYD, NAD, KGS, LTL, AUD, PKR, GNF, SAR, EEK, MNT, CUP, HNL, UAH, ZWD, HRK, ISK, NPR, HKD, EGP, GEL, JEP, HUF, VND, DKK, KPW, YER, TVD, ALL, PAB, SGD, BSD, MYR, SHP, THB, CHF, JMD, NZD, LKR, NGN, TWD, PEN, BZD, ILS, SYP, PLN, RSD, TRL, LBP]

endorsement object
An object containing the endorsement details
is_endorsed object
Presence of an endorsement (back of check image). True if there is a signature, or a name that matches the payee name
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value booleanrequired
is_signed object
Presence of an endorsement signature (back of check image).
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value booleanrequired
receiver_name object
Raw receiver name on endorsement.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
instructions object
Raw instructions on endorsement.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
mobile_or_remote_deposit object
Mobile or remote desposit endorsement.
checkbox object
Presence of checked box indicating that the deposit is for mobile or remote deposit only.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value booleanrequired
instructions object
Presence of instructions stating that the deposit is for mobile or remote deposit only.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value booleanrequired
The extracted value.
is_mobile_or_remote_deposit_only object
deprecated and will be removed at 2025-07-10. Use endorsement.mobile_or_remote_deposit instead
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value booleanrequired
micr object

An object containing the details for the Magnetic ink character recognition.

routing_number object

The Transit Field. It is always 8-9 digits, preceded by a ⑆, and followed by a ⑆.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

account_number objectrequired

The bank account number.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

serial_number object

The serial number on checks.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

raw object

The text returned from converting the document into a machine-readable text format.

score number

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score number

Possible values: <= 1

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

rotation integer

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

The angle of rotation of the document in degrees.

value stringrequired

Possible values: non-empty

The extracted value.

Example (from schema)

{
  "external_id": "string",
  "meta": {
    "external_id": "string",
    "pages": [
      {
        "ocr_score": 0,
        "width": 0,
        "height": 0,
        "is_front": true,
        "is_blurry": {
          "score": 0,
          "value": true
        },
        "tiff_url": "string"
      }
    ],
    "tags": [
      "string"
    ],
    "ocr_score": 0,
    "model": "string",
    "fraud": {
      "score": 0,
      "types": [
        "LCD photo"
      ],
      "pages": [
        {},
        null
      ]
    },
    "duplicates": [
      {
        "id": 0,
        "url": "string",
        "score": 0
      }
    ],
    "amount_text_value": 0,
    "handwritten_fields": [
      "amount"
    ],
    "digital_tampering_fields": [
      "amount"
    ]
  },
  "pdf_url": "string",
  "id": 0,
  "created_date": "2025-08-03T00:06:24.893Z",
  "updated_date": "2025-08-03T00:06:24.893Z",
  "img_thumbnail_url": "string",
  "text": "string",
  "custom_fields": {},
  "amount": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": 0
  },
  "amount_text": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "string"
  },
  "bank_address": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "string"
  },
  "bank_name": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "string"
  },
  "fractional_routing_number": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "string"
  },
  "routing_from_fractional": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "string"
  },
  "check_number": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "string"
  },
  "date": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "2025-08-03"
  },
  "memo": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "string"
  },
  "payer_address": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "string"
  },
  "payer_name": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "string"
  },
  "receiver_address": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "string"
  },
  "receiver_name": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": "string"
  },
  "is_signed": {
    "score": 0,
    "bounding_region": [
      0
    ],
    "bounding_box": [
      0,
      0
    ],
    "ocr_score": 0,
    "rotation": 0,
    "value": true
  },
  "currency_code": {
    "score": 0,
    "value": "ARS"
  },
  "endorsement": {
    "is_endorsed": {
      "score": 0,
      "bounding_region": [
        0
      ],
      "bounding_box": [
        0,
        0
      ],
      "ocr_score": 0,
      "rotation": 0,
      "value": true
    },
    "is_signed": {
      "score": 0,
      "bounding_region": [
        0
      ],
      "bounding_box": [
        0,
        0
      ],
      "ocr_score": 0,
      "rotation": 0,
      "value": true
    },
    "receiver_name": {
      "score": 0,
      "bounding_region": [
        0
      ],
      "bounding_box": [
        0,
        0
      ],
      "ocr_score": 0,
      "rotation": 0,
      "value": "string"
    },
    "instructions": {
      "score": 0,
      "bounding_region": [
        0
      ],
      "bounding_box": [
        0,
        0
      ],
      "ocr_score": 0,
      "rotation": 0,
      "value": "string"
    },
    "mobile_or_remote_deposit": {
      "checkbox": {
        "score": 0,
        "bounding_region": [
          0
        ],
        "bounding_box": [
          0,
          0
        ],
        "ocr_score": 0,
        "rotation": 0,
        "value": true
      },
      "instructions": {
        "score": 0,
        "value": true
      }
    },
    "is_mobile_or_remote_deposit_only": {
      "score": 0,
      "bounding_region": [
        0
      ],
      "bounding_box": [
        0,
        0
      ],
      "ocr_score": 0,
      "rotation": 0,
      "value": true
    }
  },
  "micr": {
    "routing_number": {
      "score": 0,
      "bounding_region": [
        0
      ],
      "bounding_box": [
        0,
        0
      ],
      "ocr_score": 0,
      "rotation": 0,
      "value": "string"
    },
    "account_number": {
      "score": 0,
      "bounding_region": [
        0
      ],
      "bounding_box": [
        0,
        0
      ],
      "ocr_score": 0,
      "rotation": 0,
      "value": "string"
    },
    "serial_number": {
      "score": 0,
      "bounding_region": [
        0
      ],
      "bounding_box": [
        0,
        0
      ],
      "ocr_score": 0,
      "rotation": 0,
      "value": "string"
    },
    "raw": {
      "score": 0,
      "bounding_region": [
        0
      ],
      "bounding_box": [
        0,
        0
      ],
      "ocr_score": 0,
      "rotation": 0,
      "value": "string"
    }
  }
}

400

User error

application/json

Schema

Schema

oneOf

MALFORMED_PARAMETERS

status string

Default value: fail

error string

Default value: Malformed parameters

Example (from schema)

{}

403

User error

application/json

Schema

Schema

oneOf

AUTHENTICATION_CREDENTIALS_WERE_NOT_PROVIDED

status string

Default value: fail

error string

Default value: Authentication credentials were not provided.

Example (from schema)

{}

404

Not found

application/json

Schema

Schema

oneOf

NOT_FOUND

status string

Default value: fail

error string

Default value: Not found.

DOCUMENT_NOT_FOUND

status string

Default value: fail

error string

Default value: Document Not Found

Example (from schema)

{}

413

Request body too large

application/json

Schema

Schema

oneOf

REQUEST_BODY_TOO_LARGE

status string

Default value: fail

error string

Default value: Request body too large

Example (from schema)

{}

429

Rate limit

application/json

Schema

Schema

oneOf

YOU_HAVE_BEEN_RATE_LIMITED

status string

Default value: fail

error string

Default value: You have been rate limited

details undefined[]

Default value: [object Object]

Example (from schema)

{}

499

User error

application/json

Schema

Schema

oneOf

CLIENT_CLOSED_REQUEST_OR_LOST_CONNECTION

status string

Default value: fail

error string

Default value: Client closed request or lost connection

Example (from schema)

{}

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 100 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",
  "details": [
    {}
  ]
}

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