DetectDocumentText - Amazon Textract


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 an image in JPEG or PNG format. 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.


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, "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.


An array of Block objects that contain the text that's detected in the document.

Type: Array of Block objects


Type: String


Metadata about the document. It contains the number of pages that are detected in the document.

Type: DocumentMetadata object



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


Amazon Textract isn't able to read the document. For more information on the document limits in Amazon Textract, see Hard Limits in Amazon Textract.

HTTP Status Code: 400


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


Amazon Textract experienced a service issue. Try your call again.

HTTP Status Code: 500


An input parameter violated a constraint. For example, in synchronous operations, an InvalidParameterException exception occurs when neither of the S3Object or Bytes values are supplied in the Document request parameter. Validate your parameter before calling the API operation again.

HTTP Status Code: 400


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


The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Textract.

HTTP Status Code: 400


Amazon Textract is temporarily unable to process the request. Try your call again.

HTTP Status Code: 500


The format of the input document isn't supported. Documents for synchronous operations can be in PNG or JPEG format. Documents for asynchronous operations can also be in PDF 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: