AnalyzeDocument - Amazon Textract


Analyzes an input document for relationships between detected items.

The types of information returned are as follows:

  • Form data (key-value pairs). The related information is returned in two Block objects, each of type KEY_VALUE_SET: a KEY Block object and a VALUE Block object. For example, Name: Ana Silva Carolina contains a key and value. Name: is the key. Ana Silva Carolina is the value.

  • Table and table cell data. A TABLE Block object contains information about a detected table. A CELL Block object is returned for each cell in a table.

  • Lines and words of text. A LINE Block object contains one or more WORD Block objects. All lines and words that are detected in the document are returned (including text that doesn't have a relationship with the value of FeatureTypes).

  • Signatures. A SIGNATURE Block object contains the location information of a signature in a document. If used in conjunction with forms or tables, a signature can be given a Key-Value pairing or be detected in the cell of a table.

  • Query. A QUERY Block object contains the query text, alias and link to the associated Query results block object.

  • Query Result. A QUERY_RESULT Block object contains the answer to the query and an ID that connects it to the query asked. This Block also contains a confidence score.

Selection elements such as check boxes and option buttons (radio buttons) can be detected in form data and in tables. A SELECTION_ELEMENT Block object contains information about a selection element, including the selection status.

You can choose which type of analysis to perform by specifying the FeatureTypes list.

The output is returned in a list of Block objects.

AnalyzeDocument is a synchronous operation. To analyze documents asynchronously, use StartDocumentAnalysis.

For more information, see Document Text Analysis.

Request Syntax

{ "AdaptersConfig": { "Adapters": [ { "AdapterId": "string", "Pages": [ "string" ], "Version": "string" } ] }, "Document": { "Bytes": blob, "S3Object": { "Bucket": "string", "Name": "string", "Version": "string" } }, "FeatureTypes": [ "string" ], "HumanLoopConfig": { "DataAttributes": { "ContentClassifiers": [ "string" ] }, "FlowDefinitionArn": "string", "HumanLoopName": "string" }, "QueriesConfig": { "Queries": [ { "Alias": "string", "Pages": [ "string" ], "Text": "string" } ] } }

Request Parameters

The request accepts the following data in JSON format.


Specifies the adapter to be used when analyzing a document.

Type: AdaptersConfig object

Required: No


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, PNG, PDF, or TIFF 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


A list of the types of analysis to perform. Add TABLES to the list to return information about the tables that are detected in the input document. Add FORMS to return detected form data. Add SIGNATURES to return the locations of detected signatures. Add LAYOUT to the list to return information about the layout of the document. All lines and words detected in the document are included in the response (including text that isn't related to the value of FeatureTypes).

Type: Array of strings


Required: Yes


Sets the configuration for the human in the loop workflow for analyzing documents.

Type: HumanLoopConfig object

Required: No


Contains Queries and the alias for those Queries, as determined by the input.

Type: QueriesConfig object

Required: No

Response Syntax

{ "AnalyzeDocumentModelVersion": "string", "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" } ], "DocumentMetadata": { "Pages": number }, "HumanLoopActivationOutput": { "HumanLoopActivationConditionsEvaluationResults": "string", "HumanLoopActivationReasons": [ "string" ], "HumanLoopArn": "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.


The version of the model used to analyze the document.

Type: String


The items that are detected and analyzed by AnalyzeDocument.

Type: Array of Block objects


Metadata about the analyzed document. An example is the number of pages.

Type: DocumentMetadata object


Shows the results of the human in the loop evaluation.

Type: HumanLoopActivationOutput 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 Quotas 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


Indicates you have exceeded the maximum number of active human in the loop workflows available

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 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: