AnalyzeID
Analyzes identity documents for relevant information. This information is extracted and
returned as IdentityDocumentFields
, which records both the normalized field
and value of the extracted text. Unlike other Amazon Textract operations,
AnalyzeID
doesn't return any Geometry data.
Request Syntax
{
"DocumentPages": [
{
"Bytes": blob
,
"S3Object": {
"Bucket": "string
",
"Name": "string
",
"Version": "string
"
}
}
]
}
Request Parameters
The request accepts the following data in JSON format.
- DocumentPages
-
The document being passed to AnalyzeID.
Type: Array of Document objects
Array Members: Minimum number of 1 item. Maximum number of 2 items.
Required: Yes
Response Syntax
{
"AnalyzeIDModelVersion": "string",
"DocumentMetadata": {
"Pages": number
},
"IdentityDocuments": [
{
"Blocks": [
{
"BlockType": "string",
"ColumnIndex": number,
"ColumnSpan": number,
"Confidence": number,
"EntityTypes": [ "string" ],
"Geometry": {
"BoundingBox": {
"Height": number,
"Left": number,
"Top": number,
"Width": number
},
"Polygon": [
{
"X": number,
"Y": number
}
]
},
"Id": "string",
"Page": number,
"Query": {
"Alias": "string",
"Pages": [ "string" ],
"Text": "string"
},
"Relationships": [
{
"Ids": [ "string" ],
"Type": "string"
}
],
"RowIndex": number,
"RowSpan": number,
"SelectionStatus": "string",
"Text": "string",
"TextType": "string"
}
],
"DocumentIndex": number,
"IdentityDocumentFields": [
{
"Type": {
"Confidence": number,
"NormalizedValue": {
"Value": "string",
"ValueType": "string"
},
"Text": "string"
},
"ValueDetection": {
"Confidence": number,
"NormalizedValue": {
"Value": "string",
"ValueType": "string"
},
"Text": "string"
}
}
]
}
]
}
Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- AnalyzeIDModelVersion
-
The version of the AnalyzeIdentity API being used to process documents.
Type: String
- DocumentMetadata
-
Information about the input document.
Type: DocumentMetadata object
- IdentityDocuments
-
The list of documents processed by AnalyzeID. Includes a number denoting their place in the list and the response structure for the document.
Type: Array of IdentityDocument objects
Errors
- AccessDeniedException
-
You aren't authorized to perform the action. Use the Amazon Resource Name (ARN) of an authorized user or IAM role to perform the operation.
HTTP Status Code: 400
- BadDocumentException
-
Amazon Textract isn't able to read the document. For more information on the document limits in Amazon Textract, see Quotas in Amazon Textract.
HTTP Status Code: 400
- DocumentTooLargeException
-
The document can't be processed because it's too large. The maximum document size for synchronous operations 10 MB. The maximum document size for asynchronous operations is 500 MB for PDF files.
HTTP Status Code: 400
- InternalServerError
-
Amazon Textract experienced a service issue. Try your call again.
HTTP Status Code: 500
- InvalidParameterException
-
An input parameter violated a constraint. For example, in synchronous operations, an
InvalidParameterException
exception occurs when neither of theS3Object
orBytes
values are supplied in theDocument
request parameter. Validate your parameter before calling the API operation again.HTTP Status Code: 400
- InvalidS3ObjectException
-
Amazon Textract is unable to access the S3 object that's specified in the request. for more information, Configure Access to Amazon S3 For troubleshooting information, see Troubleshooting Amazon S3
HTTP Status Code: 400
- ProvisionedThroughputExceededException
-
The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Textract.
HTTP Status Code: 400
- ThrottlingException
-
Amazon Textract is temporarily unable to process the request. Try your call again.
HTTP Status Code: 500
- UnsupportedDocumentException
-
The format of the input document isn't supported. Documents for operations can be in PNG, JPEG, PDF, or TIFF format.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: