DetectDocumentText
Detects text in the input document. Amazon Textract can detect lines of text and the
words that make up a line of text. The input document must be in one of the following image
formats: JPEG, PNG, PDF, or TIFF. DetectDocumentText
returns the detected
text in an array of Block objects.
Each document page has as an associated Block
of type PAGE. Each PAGE Block
object
is the parent of LINE Block
objects that represent the lines of detected text on a page. A LINE Block
object is
a parent for each word that makes up the line. Words are represented by Block
objects of type WORD.
DetectDocumentText
is a synchronous operation. To analyze documents
asynchronously, use StartDocumentTextDetection.
For more information, see Document Text Detection.
Request Syntax
{
"Document": {
"Bytes": blob
,
"S3Object": {
"Bucket": "string
",
"Name": "string
",
"Version": "string
"
}
}
}
Request Parameters
The request accepts the following data in JSON format.
- Document
-
The input document as base64-encoded bytes or an Amazon S3 object. If you use the AWS CLI to call Amazon Textract operations, you can't pass image bytes. The document must be an image in JPEG or PNG format.
If you're using an AWS SDK to call Amazon Textract, you might not need to base64-encode image bytes that are passed using the
Bytes
field.Type: Document object
Required: Yes
Response Syntax
{
"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"
}
],
"DetectDocumentTextModelVersion": "string",
"DocumentMetadata": {
"Pages": number
}
}
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.
- Blocks
-
An array of
Block
objects that contain the text that's detected in the document.Type: Array of Block objects
- DetectDocumentTextModelVersion
-
Type: String
- DocumentMetadata
-
Metadata about the document. It contains the number of pages that are detected in the document.
Type: DocumentMetadata object
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: