Get W-9s

GET 
/api/v8/partner/w9s

Get W-9s

Request

Query Parameters

meta.tags array
Return documents containing these tags.
Example: a
meta.external_id string
Return documents with this meta.external_id.
Example: 123f-2aa-33cc
created_date__gt string
Return documents created after this date and time in ISO 8601 format.
Example: 2022-05-03 00:00:00
created_date__lt string
Return documents created before this date and time in ISO 8601 format.
Example: 2023-03-23 00:00:00
created_date__gte string
Return documents created beginning at this date and time in ISO 8601 format.
Example: 2022-04-24 00:00:00
created_date__lte string
Return documents created on and before this date and time in ISO 8601 format.
Example: 2020-10-15 00:00:00
updated_date__gt string
Return documents updated after this date and time in ISO 8601 format.
Example: 2023-07-25 00:00:00
updated_date__lt string
Return documents updated before this date and time in ISO 8601 format.
Example: 2019-03-18 00:00:00
updated_date__gte string
Return documents updated beginning at this date and time in ISO 8601 format.
Example: 2020-02-03 00:00:00
updated_date__lte string
Return documents updated on and before this date and time in ISO 8601 format.
Example: 2023-01-03 00:00:00
page integer

Default value: 1

The page number. The response is capped to maximum of 50 results per page.

page_size integer
Default value: 50
The number of Documents per page.
Example: 10
bounding_boxes boolean

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

confidence_details boolean

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

q string
Case sensitive. Return documents with this text or any extracted fields matching the value. Use asterisk for partial matches, e.g. q=Walmart* will return documents with either Walmart in ocr text or any extracted field containing Walmart.
Example: Starbucks
track_total_results boolean

Whether to always return accurate count of results, true makes it slower.

Responses

200

A list of previously processed W-9s.

application/json

Schema

Schema

anyOf
API_V8_PARTNER_W9S_LISTRESPONSESCHEMA
count integerrequired
The total number of results retrieved across all pages.
next string
The URL to the next page of results.
previous string
The URL to the previous page of results.
results object[]required
The collection of processed W-9 documents
Array [
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[]
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.
]
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.
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.
account_numbers string
The account numbers to a bank or brokerage account on Line 7 of the W-9.
address1 string
The address (number, street, and apt. or suite no.) on Line 5 of the W-9.
address2 string
The city, state, and zip on Line 6 of the W-9.
parsed_address object
An object representing detailed address-related information on the document, such as the city, state, street address, unit number, etc. Filled in the original POST request had the parameter parse_address set to true and the corresponding address is found on the document.
building string
Possible values: non-empty
The building name e.g. 'Project 8' or 'Empire State Building'
city string
Possible values: non-empty
The settlement including cities, towns, villages, hamlets, localities, etc.
country string
Possible values: non-empty
The sovereign nations and their dependent territories, anything with an ISO-3166 code.
country_alpha_2 string
Possible values: non-empty
The detected ISO 3166-1 alpha-2 code for a given country.
postcode string
Possible values: non-empty
The postal code used for mail sorting
state string
Possible values: non-empty
A first-level administrative division. Scotland, Northern Ireland, Wales, and England in the UK are mapped to "state" as well
street_address string
Possible values: non-empty
A sum of house_number road, building, unit.
house string
Possible values: non-empty
The venue name e.g. "Brooklyn Academy of Music", and building names e.g. "Empire State Building".
house_number string
Possible values: non-empty
Usually refers to the external (street-facing) building number. In some countries this may be a compound, hyphenated number, which also includes an apartment number, or a block number (a la Japan).
road string
Possible values: non-empty
Street name(s)
unit string
Possible values: non-empty
An apartment, unit, office, lot, or other secondary unit designator.
level string
Possible values: non-empty
The expressions indicating a floor number e.g. "3rd Floor", "Ground Floor", etc.
staircase string
Possible values: non-empty
Numbered/lettered staircase
entrance string
Possible values: non-empty
Numbered/lettered entrance
po_box string
Possible values: non-empty
The post office box, typically found in non-physical (mail-only) addresses.
suburb string
Possible values: non-empty
An unofficial neighborhood name like "Harlem", "South Bronx", or "Crown Heights".
city_district string
Possible values: non-empty
The boroughs or districts within a city that serve some official purpose e.g. "Brooklyn" or "Hackney" or "Bratislava IV".
island string
Possible values: non-empty
Named islands e.g. "Maui"
state_district string
Possible values: non-empty
Usually a second-level administrative division or county.
country_region string
Possible values: non-empty
Informal subdivision of a country without any political status.
world_region string
Possible values: non-empty
Only used for appending "West Indies" after the country name, a pattern frequently used in the English-speaking Caribbean e.g. "Jamaica, West Indies".
business_name string
The business name on Line 2 of the W-9.
c_corp boolean
A boolean indicating whether or not the LLC is identified as a C Corp and was checked in Box 3 of the W-9.
ein string
The Employer Identification Number (EIN) in Part I - Taxpayer Identification Number (TIN) on the W-9.
exempt_payee_code string
The exemption payee code in Box 4 of the W-9.
exemption string
The exemption in Box 4 of the W-9.
individual boolean
A boolean indicating whether or not Individual was checked in Box 3 of the W-9.
llc boolean
A boolean indicating whether or not Limited Liability Company was checked in Box 3 of the W-9.
llc_type stringrequired
Possible values: [C, S, P]
The tax classification found in Box 3 of the W-9.
name string
The full name found on Line 1 of the W-9.
other_description string
The comments or description found on the Other line in Box 3 of the W-9.
other boolean
A boolean indicating whether or not the Other box was checked in Box 3 of the W-9.
partnership boolean
A boolean indicating whether or not the LLC is identified as a Partnership and was checked in Box 3 of the W-9.
requester string
The requestor's name and address in the Box to the right of Line 5 of the W-9
s_corp boolean
A boolean indicating whether or not the LLC is identified as a S Corp and was checked in Box 3 of the W-9.
signature_date string
The date found on the Sign Here line under Part II - Certification of the W-9.
signature boolean
The signature found on the Sign Here line under Part II - Certification of the W-9
ssn string
The number found on Part I Taxpayer Identification Number (TIN) under Social Security Number of the W-9.
trust_estate boolean
A boolean indicating whether or not Trust/estate was checked in Box 3 of the W-9.
3b_foreign boolean
Foreign ownership interest. Returns null if the field did not appear on the document.
]
API_V8_PARTNER_W9S_DETAILEDLISTRESPONSESCHEMA
count integerrequired
The total number of results retrieved across all pages.
next string
The URL to the next page of results.
previous string
The URL to the previous page of results.
results object[]required
The collection of processed W-9 documents
Array [
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[]
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.
]
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.
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.
account_numbers objectrequired
The account numbers to a bank or brokerage account on Line 7 of the W-9.
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.
address1 objectrequired
The address (number, street, and apt. or suite no.) on Line 5 of the W-9.
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.
address2 objectrequired
The city, state, and zip on Line 6 of the W-9.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score number
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
parsed_address object
An object representing detailed address-related information on the document, such as the city, state, street address, unit number, etc. Filled in the original POST request had the parameter parse_address set to true and the corresponding address is found on the document.
building object
The building name e.g. 'Project 8' or 'Empire State Building'
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
city object
The settlement including cities, towns, villages, hamlets, localities, etc.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
country object
The sovereign nations and their dependent territories, anything with an ISO-3166 code.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
country_alpha_2 object
The detected ISO 3166-1 alpha-2 code for a given country.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
postcode object
The postal code used for mail sorting
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
state object
A first-level administrative division. Scotland, Northern Ireland, Wales, and England in the UK are mapped to "state" as well
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
street_address object
A sum of house_number road, building, unit.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
house object
The venue name e.g. "Brooklyn Academy of Music", and building names e.g. "Empire State Building".
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
house_number object
Usually refers to the external (street-facing) building number. In some countries this may be a compound, hyphenated number, which also includes an apartment number, or a block number (a la Japan).
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
road object
Street name(s)
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
unit object
An apartment, unit, office, lot, or other secondary unit designator.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
level object
The expressions indicating a floor number e.g. "3rd Floor", "Ground Floor", etc.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
staircase object
Numbered/lettered staircase
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
entrance object
Numbered/lettered entrance
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
po_box object
The post office box, typically found in non-physical (mail-only) addresses.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
suburb object
An unofficial neighborhood name like "Harlem", "South Bronx", or "Crown Heights".
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
city_district object
The boroughs or districts within a city that serve some official purpose e.g. "Brooklyn" or "Hackney" or "Bratislava IV".
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
island object
Named islands e.g. "Maui"
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
state_district object
Usually a second-level administrative division or county.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
country_region object
Informal subdivision of a country without any political status.
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
world_region object
Only used for appending "West Indies" after the country name, a pattern frequently used in the English-speaking Caribbean e.g. "Jamaica, West Indies".
score number
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
value stringrequired
Possible values: non-empty
The extracted value.
business_name objectrequired
The business name on Line 2 of the W-9.
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.
c_corp objectrequired
A boolean indicating whether or not the LLC is identified as a C Corp and was checked in Box 3 of the W-9.
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
ein objectrequired
The Employer Identification Number (EIN) in Part I - Taxpayer Identification Number (TIN) on the W-9.
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.
exempt_payee_code objectrequired
The exemption payee code in Box 4 of the W-9.
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.
exemption objectrequired
The exemption in Box 4 of the W-9.
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.
individual objectrequired
A boolean indicating whether or not Individual was checked in Box 3 of the W-9.
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
llc objectrequired
A boolean indicating whether or not Limited Liability Company was checked in Box 3 of the W-9.
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
llc_type objectrequired
The tax classification found in Box 3 of the W-9.
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: [C, S, P]
The tax classification found in Box 3 of the W-9.
name objectrequired
The full name found on Line 1 of the W-9.
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.
other_description objectrequired
The comments or description found on the Other line in Box 3 of the W-9.
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.
other objectrequired
A boolean indicating whether or not the Other box was checked in Box 3 of the W-9.
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
partnership objectrequired
A boolean indicating whether or not the LLC is identified as a Partnership and was checked in Box 3 of the W-9.
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
requester objectrequired
The requestor's name and address in the Box to the right of Line 5 of the W-9
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.
s_corp objectrequired
A boolean indicating whether or not the LLC is identified as a S Corp and was checked in Box 3 of the W-9.
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
signature_date objectrequired
The date found on the Sign Here line under Part II - Certification of the W-9.
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.
signature objectrequired
The signature found on the Sign Here line under Part II - Certification of the W-9
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
ssn objectrequired
The number found on Part I Taxpayer Identification Number (TIN) under Social Security Number of the W-9.
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.
trust_estate objectrequired
A boolean indicating whether or not Trust/estate was checked in Box 3 of the W-9.
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
3b_foreign objectrequired
Foreign ownership interest. Returns null if the field did not appear 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 booleanrequired
]

Example (from schema)

{}

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