Returns a list of document tax-lines.

GET 
/api/v8/partner/documents/:document_id/tax-lines

Returns a list of document tax-lines.

Request

Path Parameters

document_id int64required

The unique identifier of the document.

Responses

200

A list of document tax-lines.

application/json

Schema

Schema

anyOf
TaxLinesResponse
Array [
order integerrequired
The arrangement of tax lines in relation to each other.
name object
The name of the sales tax type.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
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.
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.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
rate object
The tax rate (percentage) applied to the base amount. This value is computable.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
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.
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.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
total object
The total amount of tax charged for this particular tax line item. If the document has multiple taxes on it those taxes will be returned in the list inside the taxes field. Note there are a couple of countries in the world that have 3 decimal places after the dot.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
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.
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.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
base object
The base amount of the tax applied.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
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.
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.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
code object
The tax identification code.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
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.
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.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value stringrequired
Possible values: non-empty
The extracted value.
total_inclusive object
The base rate + tax amount.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
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.
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.
rotation integer
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value numberrequired
]

Example (from schema)

[
  null
]

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