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Textract

Table of Contents

Client

class Textract.Client

A low-level client representing Amazon Textract:

import boto3

client = boto3.client('textract')

These are the available methods:

analyze_document(**kwargs)

Analyzes an input document for relationships between detected items.

The types of information returned are as follows:

  • Words and lines that are related to nearby lines and words. 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.
  • Selectable elements such as checkboxes and radio buttons. A SELECTION_ELEMENT Block object contains information about a selectable element.
  • Lines and words of text. A LINE Block object contains one or more WORD Block objects.

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 .

See also: AWS API Documentation

Request Syntax

response = client.analyze_document(
    Document={
        'Bytes': b'bytes',
        'S3Object': {
            'Bucket': 'string',
            'Name': 'string',
            'Version': 'string'
        }
    },
    FeatureTypes=[
        'TABLES'|'FORMS',
    ]
)
Parameters
  • Document (dict) --

    [REQUIRED]

    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 JPG or PNG format.

    If you are using an AWS SDK to call Amazon Textract, you might not need to base64-encode image bytes passed using the Bytes field.

    • Bytes (bytes) --

      A blob of base-64 encoded documents bytes. The maximum size of a document that's provided in a blob of bytes is 5 MB. The document bytes must be in PNG or JPG format.

      If you are using an AWS SDK to call Amazon Textract, you might not need to base64-encode image bytes passed using the Bytes field.

    • S3Object (dict) --

      Identifies an S3 object as the document source. The maximum size of a document stored in an S3 bucket is 5 MB.

      • Bucket (string) --

        The name of the S3 bucket.

      • Name (string) --

        The file name of the input document. It must be an image file (.JPG or .PNG format). Asynchronous operations also support PDF files.

      • Version (string) --

        If the bucket has versioning enabled, you can specify the object version.

  • FeatureTypes (list) --

    [REQUIRED]

    A list of the types of analysis to perform. Add TABLES to the list to return information about the tables detected in the input document. Add FORMS to return detected fields and the associated text. To perform both types of analysis, add TABLES and FORMS to FeatureTypes .

    • (string) --
Return type

dict

Returns

Response Syntax

{
    'DocumentMetadata': {
        'Pages': 123
    },
    'Blocks': [
        {
            'BlockType': 'KEY_VALUE_SET'|'PAGE'|'LINE'|'WORD'|'TABLE'|'CELL'|'SELECTION_ELEMENT',
            'Confidence': ...,
            'Text': 'string',
            'RowIndex': 123,
            'ColumnIndex': 123,
            'RowSpan': 123,
            'ColumnSpan': 123,
            'Geometry': {
                'BoundingBox': {
                    'Width': ...,
                    'Height': ...,
                    'Left': ...,
                    'Top': ...
                },
                'Polygon': [
                    {
                        'X': ...,
                        'Y': ...
                    },
                ]
            },
            'Id': 'string',
            'Relationships': [
                {
                    'Type': 'VALUE'|'CHILD',
                    'Ids': [
                        'string',
                    ]
                },
            ],
            'EntityTypes': [
                'KEY'|'VALUE',
            ],
            'SelectionStatus': 'SELECTED'|'NOT_SELECTED',
            'Page': 123
        },
    ]
}

Response Structure

  • (dict) --

    • DocumentMetadata (dict) --

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

      • Pages (integer) --

        The number of pages detected in the document.

    • Blocks (list) --

      The text that's detected and analyzed by AnalyzeDocument .

      • (dict) --

        A Block represents items that are recognized in a document within a group of pixels close to each other. The information returned in a Block depends on the type of operation. In document-text detection (for example DetectDocumentText ), you get information about the detected words and lines of text. In text analysis (for example AnalyzeDocument ), you can also get information about the fields, tables and selection elements that are detected in the document.

        An array of Block objects is returned by both synchronous and asynchronous operations. In synchronous operations, such as DetectDocumentText , the array of Block objects is the entire set of results. In asynchronous operations, such as GetDocumentAnalysis , the array is returned over one or more responses.

        For more information, see How Amazon Textract Works .

        • BlockType (string) --

          The type of text that's recognized in a block. In text-detection operations, the following types are returned:

          • PAGE - Contains a list of the LINE Block objects that are detected on a document page.
          • WORD - A word detected on a document page. A word is one or more ISO basic Latin script characters that aren't separated by spaces.
          • LINE - A string of tab-delimited, contiguous words that's detected on a document page.

          In text analysis operations, the following types are returned:

          • PAGE - Contains a list of child Block objects that are detected on a document page.
          • KEY_VALUE_SET - Stores the KEY and VALUE Block objects for a field that's detected on a document page. Use the EntityType field to determine if a KEY_VALUE_SET object is a KEY Block object or a VALUE Block object.
          • WORD - A word detected on a document page. A word is one or more ISO basic Latin script characters that aren't separated by spaces that's detected on a document page.
          • LINE - A string of tab-delimited, contiguous words that's detected on a document page.
          • TABLE - A table that's detected on a document page. A table is any grid-based information with 2 or more rows or columns with a cell span of 1 row and 1 column each.
          • CELL - A cell within a detected table. The cell is the parent of the block that contains the text in the cell.
          • SELECTION_ELEMENT - A selectable element such as a radio button or checkbox that's detected on a document page. Use the value of SelectionStatus to determine the status of the selection element.

        • Confidence (float) --

          The confidence that Amazon Textract has in the accuracy of the recognized text and the accuracy of the geometry points around the recognized text.

        • Text (string) --

          The word or line of text that's recognized by Amazon Textract.

        • RowIndex (integer) --

          The row in which a table cell is located. The first row position is 1. RowIndex isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • ColumnIndex (integer) --

          The column in which a table cell appears. The first column position is 1. ColumnIndex isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • RowSpan (integer) --

          The number of rows that a table spans. RowSpan isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • ColumnSpan (integer) --

          The number of columns that a table cell spans. ColumnSpan isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • Geometry (dict) --

          The location of the recognized text on the image. It includes an axis-aligned, coarse bounding box that surrounds the text, and a finer-grain polygon for more accurate spatial information.

          • BoundingBox (dict) --

            An axis-aligned coarse representation of the location of the recognized text on the document page.

            • Width (float) --

              The width of the bounding box as a ratio of the overall document page width.

            • Height (float) --

              The height of the bounding box as a ratio of the overall document page height.

            • Left (float) --

              The left coordinate of the bounding box as a ratio of overall document page width.

            • Top (float) --

              The top coordinate of the bounding box as a ratio of overall document page height.

          • Polygon (list) --

            Within the bounding box, a fine-grained polygon around the recognized text.

            • (dict) --

              The X and Y coordinates of a point on a document page. The X and Y values returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.

              An array of Point objects, Polygon , is returned by DetectDocumentText . Polygon represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.

              • X (float) --

                The value of the X coordinate for a point on a Polygon .

              • Y (float) --

                The value of the Y coordinate for a point on a Polygon .

        • Id (string) --

          The identifier for the recognized text. The identifier is only unique for a single operation.

        • Relationships (list) --

          A list of child blocks of the current block. For example a LINE object has child blocks for each WORD block that's part of the line of text. There aren't Relationship objects in the list for relationships that don't exist, such as when the current block has no child blocks. The list size can be the following:

          • 0 - The block has no child blocks.
          • 1 - The block has child blocks.

          • (dict) --

            Information about how blocks are related to each other. A Block object contains 0 or more Relation objects in a list, Relationships . For more information, see Block .

            The Type element provides the type of the relationship for all blocks in the IDs array.

            • Type (string) --

              The type of relationship that the blocks in the IDs array have with the current block. The relationship can be VALUE or CHILD .

            • Ids (list) --

              An array of IDs for related blocks. You can get the type of the relationship from the Type element.

              • (string) --

        • EntityTypes (list) --

          The type of entity. The following can be returned:

          • KEY - An identifier for a field on the document.
          • VALUE - The field text.

          EntityTypes isn't returned by DetectDocumentText and GetDocumentTextDetection .

          • (string) --

        • SelectionStatus (string) --

          The selection status of a selectable element such as a radio button or checkbox.

        • Page (integer) --

          The page in which a block was detected. Page is returned by asynchronous operations. Page values greater than 1 are only returned for multi-page documents that are in PDF format. A scanned image (JPG/PNG), even if it contains multiple document pages, is always considered to be a single-page document and the value of Page is always 1. Synchronous operations don't return Page as every input document is considered to be a single-page document.

can_paginate(operation_name)

Check if an operation can be paginated.

Parameters
operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").
Returns
True if the operation can be paginated, False otherwise.
detect_document_text(**kwargs)

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 JPG 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 .

See also: AWS API Documentation

Request Syntax

response = client.detect_document_text(
    Document={
        'Bytes': b'bytes',
        'S3Object': {
            'Bucket': 'string',
            'Name': 'string',
            'Version': 'string'
        }
    }
)
Parameters
Document (dict) --

[REQUIRED]

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 JPG or PNG format.

If you are using an AWS SDK to call Amazon Textract, you might not need to base64-encode image bytes passed using the Bytes field.

  • Bytes (bytes) --

    A blob of base-64 encoded documents bytes. The maximum size of a document that's provided in a blob of bytes is 5 MB. The document bytes must be in PNG or JPG format.

    If you are using an AWS SDK to call Amazon Textract, you might not need to base64-encode image bytes passed using the Bytes field.

  • S3Object (dict) --

    Identifies an S3 object as the document source. The maximum size of a document stored in an S3 bucket is 5 MB.

    • Bucket (string) --

      The name of the S3 bucket.

    • Name (string) --

      The file name of the input document. It must be an image file (.JPG or .PNG format). Asynchronous operations also support PDF files.

    • Version (string) --

      If the bucket has versioning enabled, you can specify the object version.

Return type
dict
Returns
Response Syntax
{
    'DocumentMetadata': {
        'Pages': 123
    },
    'Blocks': [
        {
            'BlockType': 'KEY_VALUE_SET'|'PAGE'|'LINE'|'WORD'|'TABLE'|'CELL'|'SELECTION_ELEMENT',
            'Confidence': ...,
            'Text': 'string',
            'RowIndex': 123,
            'ColumnIndex': 123,
            'RowSpan': 123,
            'ColumnSpan': 123,
            'Geometry': {
                'BoundingBox': {
                    'Width': ...,
                    'Height': ...,
                    'Left': ...,
                    'Top': ...
                },
                'Polygon': [
                    {
                        'X': ...,
                        'Y': ...
                    },
                ]
            },
            'Id': 'string',
            'Relationships': [
                {
                    'Type': 'VALUE'|'CHILD',
                    'Ids': [
                        'string',
                    ]
                },
            ],
            'EntityTypes': [
                'KEY'|'VALUE',
            ],
            'SelectionStatus': 'SELECTED'|'NOT_SELECTED',
            'Page': 123
        },
    ]
}

Response Structure

  • (dict) --
    • DocumentMetadata (dict) --

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

      • Pages (integer) --

        The number of pages detected in the document.

    • Blocks (list) --

      An array of Block objects containing the text detected in the document.

      • (dict) --

        A Block represents items that are recognized in a document within a group of pixels close to each other. The information returned in a Block depends on the type of operation. In document-text detection (for example DetectDocumentText ), you get information about the detected words and lines of text. In text analysis (for example AnalyzeDocument ), you can also get information about the fields, tables and selection elements that are detected in the document.

        An array of Block objects is returned by both synchronous and asynchronous operations. In synchronous operations, such as DetectDocumentText , the array of Block objects is the entire set of results. In asynchronous operations, such as GetDocumentAnalysis , the array is returned over one or more responses.

        For more information, see How Amazon Textract Works .

        • BlockType (string) --

          The type of text that's recognized in a block. In text-detection operations, the following types are returned:

          • PAGE - Contains a list of the LINE Block objects that are detected on a document page.
          • WORD - A word detected on a document page. A word is one or more ISO basic Latin script characters that aren't separated by spaces.
          • LINE - A string of tab-delimited, contiguous words that's detected on a document page.

          In text analysis operations, the following types are returned:

          • PAGE - Contains a list of child Block objects that are detected on a document page.
          • KEY_VALUE_SET - Stores the KEY and VALUE Block objects for a field that's detected on a document page. Use the EntityType field to determine if a KEY_VALUE_SET object is a KEY Block object or a VALUE Block object.
          • WORD - A word detected on a document page. A word is one or more ISO basic Latin script characters that aren't separated by spaces that's detected on a document page.
          • LINE - A string of tab-delimited, contiguous words that's detected on a document page.
          • TABLE - A table that's detected on a document page. A table is any grid-based information with 2 or more rows or columns with a cell span of 1 row and 1 column each.
          • CELL - A cell within a detected table. The cell is the parent of the block that contains the text in the cell.
          • SELECTION_ELEMENT - A selectable element such as a radio button or checkbox that's detected on a document page. Use the value of SelectionStatus to determine the status of the selection element.
        • Confidence (float) --

          The confidence that Amazon Textract has in the accuracy of the recognized text and the accuracy of the geometry points around the recognized text.

        • Text (string) --

          The word or line of text that's recognized by Amazon Textract.

        • RowIndex (integer) --

          The row in which a table cell is located. The first row position is 1. RowIndex isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • ColumnIndex (integer) --

          The column in which a table cell appears. The first column position is 1. ColumnIndex isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • RowSpan (integer) --

          The number of rows that a table spans. RowSpan isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • ColumnSpan (integer) --

          The number of columns that a table cell spans. ColumnSpan isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • Geometry (dict) --

          The location of the recognized text on the image. It includes an axis-aligned, coarse bounding box that surrounds the text, and a finer-grain polygon for more accurate spatial information.

          • BoundingBox (dict) --

            An axis-aligned coarse representation of the location of the recognized text on the document page.

            • Width (float) --

              The width of the bounding box as a ratio of the overall document page width.

            • Height (float) --

              The height of the bounding box as a ratio of the overall document page height.

            • Left (float) --

              The left coordinate of the bounding box as a ratio of overall document page width.

            • Top (float) --

              The top coordinate of the bounding box as a ratio of overall document page height.

          • Polygon (list) --

            Within the bounding box, a fine-grained polygon around the recognized text.

            • (dict) --

              The X and Y coordinates of a point on a document page. The X and Y values returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.

              An array of Point objects, Polygon , is returned by DetectDocumentText . Polygon represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.

              • X (float) --

                The value of the X coordinate for a point on a Polygon .

              • Y (float) --

                The value of the Y coordinate for a point on a Polygon .

        • Id (string) --

          The identifier for the recognized text. The identifier is only unique for a single operation.

        • Relationships (list) --

          A list of child blocks of the current block. For example a LINE object has child blocks for each WORD block that's part of the line of text. There aren't Relationship objects in the list for relationships that don't exist, such as when the current block has no child blocks. The list size can be the following:

          • 0 - The block has no child blocks.
          • 1 - The block has child blocks.
          • (dict) --

            Information about how blocks are related to each other. A Block object contains 0 or more Relation objects in a list, Relationships . For more information, see Block .

            The Type element provides the type of the relationship for all blocks in the IDs array.

            • Type (string) --

              The type of relationship that the blocks in the IDs array have with the current block. The relationship can be VALUE or CHILD .

            • Ids (list) --

              An array of IDs for related blocks. You can get the type of the relationship from the Type element.

              • (string) --
        • EntityTypes (list) --

          The type of entity. The following can be returned:

          • KEY - An identifier for a field on the document.
          • VALUE - The field text.
          EntityTypes isn't returned by DetectDocumentText and GetDocumentTextDetection .
          • (string) --
        • SelectionStatus (string) --

          The selection status of a selectable element such as a radio button or checkbox.

        • Page (integer) --

          The page in which a block was detected. Page is returned by asynchronous operations. Page values greater than 1 are only returned for multi-page documents that are in PDF format. A scanned image (JPG/PNG), even if it contains multiple document pages, is always considered to be a single-page document and the value of Page is always 1. Synchronous operations don't return Page as every input document is considered to be a single-page document.

generate_presigned_url(ClientMethod, Params=None, ExpiresIn=3600, HttpMethod=None)

Generate a presigned url given a client, its method, and arguments

Parameters
  • ClientMethod (string) -- The client method to presign for
  • Params (dict) -- The parameters normally passed to ClientMethod.
  • ExpiresIn (int) -- The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds)
  • HttpMethod (string) -- The http method to use on the generated url. By default, the http method is whatever is used in the method's model.
Returns

The presigned url

get_document_analysis(**kwargs)

Gets the results for an Amazon Textract asynchronous operation that analyzes text in a document.

You start asynchronous text analysis by calling StartDocumentAnalysis , which returns a job identifier (JobId ). When the text analysis operation finishes, Amazon Textract publishes a completion status to the Amazon Simple Notification Service (Amazon SNS) topic that's registered in the initial call to StartDocumentAnalysis . To get the results of the text-detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED . If so, call GetDocumentAnalysis , and pass the job identifier (JobId ) from the initial call to StartDocumentAnalysis .

GetDocumentAnalysis returns an array of Block objects. The following types of information are returned:
  • Words and lines that are related to nearby lines and words. 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.
  • Selectable elements such as checkboxes and radio buttons. A SELECTION_ELEMENT Block object contains information about a selectable element.
  • Lines and words of text. A LINE Block object contains one or more WORD Block objects.

Use the MaxResults parameter to limit the number of blocks returned. If there are more results than specified in MaxResults , the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetDocumentAnalysis , and populate the NextToken request parameter with the token value that's returned from the previous call to GetDocumentAnalysis .

For more information, see Document Text Analysis .

See also: AWS API Documentation

Request Syntax

response = client.get_document_analysis(
    JobId='string',
    MaxResults=123,
    NextToken='string'
)
Parameters
  • JobId (string) --

    [REQUIRED]

    A unique identifier for the text-detection job. The JobId is returned from StartDocumentAnalysis .

  • MaxResults (integer) -- The maximum number of results to return per paginated call. The largest value that you can specify is 1,000. If you specify a value greater than 1,000, a maximum of 1,000 results is returned. The default value is 1,000.
  • NextToken (string) -- If the previous response was incomplete (because there are more blocks to retrieve), Amazon Textract returns a pagination token in the response. You can use this pagination token to retrieve the next set of blocks.
Return type

dict

Returns

Response Syntax

{
    'DocumentMetadata': {
        'Pages': 123
    },
    'JobStatus': 'IN_PROGRESS'|'SUCCEEDED'|'FAILED'|'PARTIAL_SUCCESS',
    'NextToken': 'string',
    'Blocks': [
        {
            'BlockType': 'KEY_VALUE_SET'|'PAGE'|'LINE'|'WORD'|'TABLE'|'CELL'|'SELECTION_ELEMENT',
            'Confidence': ...,
            'Text': 'string',
            'RowIndex': 123,
            'ColumnIndex': 123,
            'RowSpan': 123,
            'ColumnSpan': 123,
            'Geometry': {
                'BoundingBox': {
                    'Width': ...,
                    'Height': ...,
                    'Left': ...,
                    'Top': ...
                },
                'Polygon': [
                    {
                        'X': ...,
                        'Y': ...
                    },
                ]
            },
            'Id': 'string',
            'Relationships': [
                {
                    'Type': 'VALUE'|'CHILD',
                    'Ids': [
                        'string',
                    ]
                },
            ],
            'EntityTypes': [
                'KEY'|'VALUE',
            ],
            'SelectionStatus': 'SELECTED'|'NOT_SELECTED',
            'Page': 123
        },
    ],
    'Warnings': [
        {
            'ErrorCode': 'string',
            'Pages': [
                123,
            ]
        },
    ],
    'StatusMessage': 'string'
}

Response Structure

  • (dict) --

    • DocumentMetadata (dict) --

      Information about a document that Amazon Textract processed. DocumentMetadata is returned in every page of paginated responses from an Amazon Textract video operation.

      • Pages (integer) --

        The number of pages detected in the document.

    • JobStatus (string) --

      The current status of the text detection job.

    • NextToken (string) --

      If the response is truncated, Amazon Textract returns this token. You can use this token in the subsequent request to retrieve the next set of text detection results.

    • Blocks (list) --

      The results of the text analysis operation.

      • (dict) --

        A Block represents items that are recognized in a document within a group of pixels close to each other. The information returned in a Block depends on the type of operation. In document-text detection (for example DetectDocumentText ), you get information about the detected words and lines of text. In text analysis (for example AnalyzeDocument ), you can also get information about the fields, tables and selection elements that are detected in the document.

        An array of Block objects is returned by both synchronous and asynchronous operations. In synchronous operations, such as DetectDocumentText , the array of Block objects is the entire set of results. In asynchronous operations, such as GetDocumentAnalysis , the array is returned over one or more responses.

        For more information, see How Amazon Textract Works .

        • BlockType (string) --

          The type of text that's recognized in a block. In text-detection operations, the following types are returned:

          • PAGE - Contains a list of the LINE Block objects that are detected on a document page.
          • WORD - A word detected on a document page. A word is one or more ISO basic Latin script characters that aren't separated by spaces.
          • LINE - A string of tab-delimited, contiguous words that's detected on a document page.

          In text analysis operations, the following types are returned:

          • PAGE - Contains a list of child Block objects that are detected on a document page.
          • KEY_VALUE_SET - Stores the KEY and VALUE Block objects for a field that's detected on a document page. Use the EntityType field to determine if a KEY_VALUE_SET object is a KEY Block object or a VALUE Block object.
          • WORD - A word detected on a document page. A word is one or more ISO basic Latin script characters that aren't separated by spaces that's detected on a document page.
          • LINE - A string of tab-delimited, contiguous words that's detected on a document page.
          • TABLE - A table that's detected on a document page. A table is any grid-based information with 2 or more rows or columns with a cell span of 1 row and 1 column each.
          • CELL - A cell within a detected table. The cell is the parent of the block that contains the text in the cell.
          • SELECTION_ELEMENT - A selectable element such as a radio button or checkbox that's detected on a document page. Use the value of SelectionStatus to determine the status of the selection element.

        • Confidence (float) --

          The confidence that Amazon Textract has in the accuracy of the recognized text and the accuracy of the geometry points around the recognized text.

        • Text (string) --

          The word or line of text that's recognized by Amazon Textract.

        • RowIndex (integer) --

          The row in which a table cell is located. The first row position is 1. RowIndex isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • ColumnIndex (integer) --

          The column in which a table cell appears. The first column position is 1. ColumnIndex isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • RowSpan (integer) --

          The number of rows that a table spans. RowSpan isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • ColumnSpan (integer) --

          The number of columns that a table cell spans. ColumnSpan isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • Geometry (dict) --

          The location of the recognized text on the image. It includes an axis-aligned, coarse bounding box that surrounds the text, and a finer-grain polygon for more accurate spatial information.

          • BoundingBox (dict) --

            An axis-aligned coarse representation of the location of the recognized text on the document page.

            • Width (float) --

              The width of the bounding box as a ratio of the overall document page width.

            • Height (float) --

              The height of the bounding box as a ratio of the overall document page height.

            • Left (float) --

              The left coordinate of the bounding box as a ratio of overall document page width.

            • Top (float) --

              The top coordinate of the bounding box as a ratio of overall document page height.

          • Polygon (list) --

            Within the bounding box, a fine-grained polygon around the recognized text.

            • (dict) --

              The X and Y coordinates of a point on a document page. The X and Y values returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.

              An array of Point objects, Polygon , is returned by DetectDocumentText . Polygon represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.

              • X (float) --

                The value of the X coordinate for a point on a Polygon .

              • Y (float) --

                The value of the Y coordinate for a point on a Polygon .

        • Id (string) --

          The identifier for the recognized text. The identifier is only unique for a single operation.

        • Relationships (list) --

          A list of child blocks of the current block. For example a LINE object has child blocks for each WORD block that's part of the line of text. There aren't Relationship objects in the list for relationships that don't exist, such as when the current block has no child blocks. The list size can be the following:

          • 0 - The block has no child blocks.
          • 1 - The block has child blocks.

          • (dict) --

            Information about how blocks are related to each other. A Block object contains 0 or more Relation objects in a list, Relationships . For more information, see Block .

            The Type element provides the type of the relationship for all blocks in the IDs array.

            • Type (string) --

              The type of relationship that the blocks in the IDs array have with the current block. The relationship can be VALUE or CHILD .

            • Ids (list) --

              An array of IDs for related blocks. You can get the type of the relationship from the Type element.

              • (string) --

        • EntityTypes (list) --

          The type of entity. The following can be returned:

          • KEY - An identifier for a field on the document.
          • VALUE - The field text.

          EntityTypes isn't returned by DetectDocumentText and GetDocumentTextDetection .

          • (string) --

        • SelectionStatus (string) --

          The selection status of a selectable element such as a radio button or checkbox.

        • Page (integer) --

          The page in which a block was detected. Page is returned by asynchronous operations. Page values greater than 1 are only returned for multi-page documents that are in PDF format. A scanned image (JPG/PNG), even if it contains multiple document pages, is always considered to be a single-page document and the value of Page is always 1. Synchronous operations don't return Page as every input document is considered to be a single-page document.

    • Warnings (list) --

      A list of warnings that occurred during the document analysis operation.

      • (dict) --

        A warning about an issue that occurred during asynchronous text analysis ( StartDocumentAnalysis ) or asynchronous document-text detection ( StartDocumentTextDetection ).

        • ErrorCode (string) --

          The error code for the warning.

        • Pages (list) --

          A list of the pages that the warning applies to.

          • (integer) --

    • StatusMessage (string) --

      The current status of an asynchronous document analysis operation.

get_document_text_detection(**kwargs)

Gets the results for an Amazon Textract asynchronous operation that detects text in a document. Amazon Textract can detect lines of text and the words that make up a line of text.

You start asynchronous text detection by calling StartDocumentTextDetection , which returns a job identifier (JobId ). When the text detection operation finishes, Amazon Textract publishes a completion status to the Amazon Simple Notification Service (Amazon SNS) topic that's registered in the initial call to StartDocumentTextDetection . To get the results of the text-detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED . If so, call GetDocumentTextDetection , and pass the job identifier (JobId ) from the initial call to StartDocumentTextDetection .

GetDocumentTextDetection returns 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.

Use the MaxResults parameter to limit the number of blocks that are returned. If there are more results than specified in MaxResults , the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetDocumentTextDetection , and populate the NextToken request parameter with the token value that's returned from the previous call to GetDocumentTextDetection .

For more information, see Document Text Detection .

See also: AWS API Documentation

Request Syntax

response = client.get_document_text_detection(
    JobId='string',
    MaxResults=123,
    NextToken='string'
)
Parameters
  • JobId (string) --

    [REQUIRED]

    A unique identifier for the text detection job. The JobId is returned from StartDocumentTextDetection .

  • MaxResults (integer) -- The maximum number of results to return per paginated call. The largest value you can specify is 1,000. If you specify a value greater than 1,000, a maximum of 1,000 results is returned. The default value is 1,000.
  • NextToken (string) -- If the previous response was incomplete (because there are more blocks to retrieve), Amazon Textract returns a pagination token in the response. You can use this pagination token to retrieve the next set of blocks.
Return type

dict

Returns

Response Syntax

{
    'DocumentMetadata': {
        'Pages': 123
    },
    'JobStatus': 'IN_PROGRESS'|'SUCCEEDED'|'FAILED'|'PARTIAL_SUCCESS',
    'NextToken': 'string',
    'Blocks': [
        {
            'BlockType': 'KEY_VALUE_SET'|'PAGE'|'LINE'|'WORD'|'TABLE'|'CELL'|'SELECTION_ELEMENT',
            'Confidence': ...,
            'Text': 'string',
            'RowIndex': 123,
            'ColumnIndex': 123,
            'RowSpan': 123,
            'ColumnSpan': 123,
            'Geometry': {
                'BoundingBox': {
                    'Width': ...,
                    'Height': ...,
                    'Left': ...,
                    'Top': ...
                },
                'Polygon': [
                    {
                        'X': ...,
                        'Y': ...
                    },
                ]
            },
            'Id': 'string',
            'Relationships': [
                {
                    'Type': 'VALUE'|'CHILD',
                    'Ids': [
                        'string',
                    ]
                },
            ],
            'EntityTypes': [
                'KEY'|'VALUE',
            ],
            'SelectionStatus': 'SELECTED'|'NOT_SELECTED',
            'Page': 123
        },
    ],
    'Warnings': [
        {
            'ErrorCode': 'string',
            'Pages': [
                123,
            ]
        },
    ],
    'StatusMessage': 'string'
}

Response Structure

  • (dict) --

    • DocumentMetadata (dict) --

      Information about a document that Amazon Textract processed. DocumentMetadata is returned in every page of paginated responses from an Amazon Textract video operation.

      • Pages (integer) --

        The number of pages detected in the document.

    • JobStatus (string) --

      The current status of the text detection job.

    • NextToken (string) --

      If the response is truncated, Amazon Textract returns this token. You can use this token in the subsequent request to retrieve the next set of text-detection results.

    • Blocks (list) --

      The results of the text-detection operation.

      • (dict) --

        A Block represents items that are recognized in a document within a group of pixels close to each other. The information returned in a Block depends on the type of operation. In document-text detection (for example DetectDocumentText ), you get information about the detected words and lines of text. In text analysis (for example AnalyzeDocument ), you can also get information about the fields, tables and selection elements that are detected in the document.

        An array of Block objects is returned by both synchronous and asynchronous operations. In synchronous operations, such as DetectDocumentText , the array of Block objects is the entire set of results. In asynchronous operations, such as GetDocumentAnalysis , the array is returned over one or more responses.

        For more information, see How Amazon Textract Works .

        • BlockType (string) --

          The type of text that's recognized in a block. In text-detection operations, the following types are returned:

          • PAGE - Contains a list of the LINE Block objects that are detected on a document page.
          • WORD - A word detected on a document page. A word is one or more ISO basic Latin script characters that aren't separated by spaces.
          • LINE - A string of tab-delimited, contiguous words that's detected on a document page.

          In text analysis operations, the following types are returned:

          • PAGE - Contains a list of child Block objects that are detected on a document page.
          • KEY_VALUE_SET - Stores the KEY and VALUE Block objects for a field that's detected on a document page. Use the EntityType field to determine if a KEY_VALUE_SET object is a KEY Block object or a VALUE Block object.
          • WORD - A word detected on a document page. A word is one or more ISO basic Latin script characters that aren't separated by spaces that's detected on a document page.
          • LINE - A string of tab-delimited, contiguous words that's detected on a document page.
          • TABLE - A table that's detected on a document page. A table is any grid-based information with 2 or more rows or columns with a cell span of 1 row and 1 column each.
          • CELL - A cell within a detected table. The cell is the parent of the block that contains the text in the cell.
          • SELECTION_ELEMENT - A selectable element such as a radio button or checkbox that's detected on a document page. Use the value of SelectionStatus to determine the status of the selection element.

        • Confidence (float) --

          The confidence that Amazon Textract has in the accuracy of the recognized text and the accuracy of the geometry points around the recognized text.

        • Text (string) --

          The word or line of text that's recognized by Amazon Textract.

        • RowIndex (integer) --

          The row in which a table cell is located. The first row position is 1. RowIndex isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • ColumnIndex (integer) --

          The column in which a table cell appears. The first column position is 1. ColumnIndex isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • RowSpan (integer) --

          The number of rows that a table spans. RowSpan isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • ColumnSpan (integer) --

          The number of columns that a table cell spans. ColumnSpan isn't returned by DetectDocumentText and GetDocumentTextDetection .

        • Geometry (dict) --

          The location of the recognized text on the image. It includes an axis-aligned, coarse bounding box that surrounds the text, and a finer-grain polygon for more accurate spatial information.

          • BoundingBox (dict) --

            An axis-aligned coarse representation of the location of the recognized text on the document page.

            • Width (float) --

              The width of the bounding box as a ratio of the overall document page width.

            • Height (float) --

              The height of the bounding box as a ratio of the overall document page height.

            • Left (float) --

              The left coordinate of the bounding box as a ratio of overall document page width.

            • Top (float) --

              The top coordinate of the bounding box as a ratio of overall document page height.

          • Polygon (list) --

            Within the bounding box, a fine-grained polygon around the recognized text.

            • (dict) --

              The X and Y coordinates of a point on a document page. The X and Y values returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.

              An array of Point objects, Polygon , is returned by DetectDocumentText . Polygon represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.

              • X (float) --

                The value of the X coordinate for a point on a Polygon .

              • Y (float) --

                The value of the Y coordinate for a point on a Polygon .

        • Id (string) --

          The identifier for the recognized text. The identifier is only unique for a single operation.

        • Relationships (list) --

          A list of child blocks of the current block. For example a LINE object has child blocks for each WORD block that's part of the line of text. There aren't Relationship objects in the list for relationships that don't exist, such as when the current block has no child blocks. The list size can be the following:

          • 0 - The block has no child blocks.
          • 1 - The block has child blocks.

          • (dict) --

            Information about how blocks are related to each other. A Block object contains 0 or more Relation objects in a list, Relationships . For more information, see Block .

            The Type element provides the type of the relationship for all blocks in the IDs array.

            • Type (string) --

              The type of relationship that the blocks in the IDs array have with the current block. The relationship can be VALUE or CHILD .

            • Ids (list) --

              An array of IDs for related blocks. You can get the type of the relationship from the Type element.

              • (string) --

        • EntityTypes (list) --

          The type of entity. The following can be returned:

          • KEY - An identifier for a field on the document.
          • VALUE - The field text.

          EntityTypes isn't returned by DetectDocumentText and GetDocumentTextDetection .

          • (string) --

        • SelectionStatus (string) --

          The selection status of a selectable element such as a radio button or checkbox.

        • Page (integer) --

          The page in which a block was detected. Page is returned by asynchronous operations. Page values greater than 1 are only returned for multi-page documents that are in PDF format. A scanned image (JPG/PNG), even if it contains multiple document pages, is always considered to be a single-page document and the value of Page is always 1. Synchronous operations don't return Page as every input document is considered to be a single-page document.

    • Warnings (list) --

      A list of warnings that occurred during the document text-detection operation.

      • (dict) --

        A warning about an issue that occurred during asynchronous text analysis ( StartDocumentAnalysis ) or asynchronous document-text detection ( StartDocumentTextDetection ).

        • ErrorCode (string) --

          The error code for the warning.

        • Pages (list) --

          A list of the pages that the warning applies to.

          • (integer) --

    • StatusMessage (string) --

      The current status of an asynchronous document text-detection operation.

get_paginator(operation_name)

Create a paginator for an operation.

Parameters
operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").
Raises OperationNotPageableError
Raised if the operation is not pageable. You can use the client.can_paginate method to check if an operation is pageable.
Return type
L{botocore.paginate.Paginator}
Returns
A paginator object.
get_waiter(waiter_name)

Returns an object that can wait for some condition.

Parameters
waiter_name (str) -- The name of the waiter to get. See the waiters section of the service docs for a list of available waiters.
Returns
The specified waiter object.
Return type
botocore.waiter.Waiter
start_document_analysis(**kwargs)

Starts asynchronous analysis of an input document for relationships between detected items such as key and value pairs, tables, and selection elements.

StartDocumentAnalysis can analyze text in documents that are in JPG, PNG, and PDF format. The documents are stored in an Amazon S3 bucket. Use DocumentLocation to specify the bucket name and file name of the document.

StartDocumentAnalysis returns a job identifier (JobId ) that you use to get the results of the operation. When text analysis is finished, Amazon Textract publishes a completion status to the Amazon Simple Notification Service (Amazon SNS) topic that you specify in NotificationChannel . To get the results of the text analysis operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED . If so, call GetDocumentAnalysis , and pass the job identifier (JobId ) from the initial call to StartDocumentAnalysis .

For more information, see Document Text Analysis .

See also: AWS API Documentation

Request Syntax

response = client.start_document_analysis(
    DocumentLocation={
        'S3Object': {
            'Bucket': 'string',
            'Name': 'string',
            'Version': 'string'
        }
    },
    FeatureTypes=[
        'TABLES'|'FORMS',
    ],
    ClientRequestToken='string',
    JobTag='string',
    NotificationChannel={
        'SNSTopicArn': 'string',
        'RoleArn': 'string'
    }
)
Parameters
  • DocumentLocation (dict) --

    [REQUIRED]

    The location of the document to be processed.

    • S3Object (dict) --

      The Amazon S3 bucket that contains the input document.

      • Bucket (string) --

        The name of the S3 bucket.

      • Name (string) --

        The file name of the input document. It must be an image file (.JPG or .PNG format). Asynchronous operations also support PDF files.

      • Version (string) --

        If the bucket has versioning enabled, you can specify the object version.

  • FeatureTypes (list) --

    [REQUIRED]

    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 fields and the associated text. To perform both types of analysis, add TABLES and FORMS to FeatureTypes . All selectable elements (SELECTION_ELEMENT ) that are detected are returned, whatever the value of FeatureTypes .

    • (string) --
  • ClientRequestToken (string) -- The idempotent token that you use to identify the start request. If you use the same token with multiple StartDocumentAnalysis requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidentally started more than once.
  • JobTag (string) -- An identifier you specify that's included in the completion notification that's published to the Amazon SNS topic. For example, you can use JobTag to identify the type of document, such as a tax form or a receipt, that the completion notification corresponds to.
  • NotificationChannel (dict) --

    The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.

    • SNSTopicArn (string) -- [REQUIRED]

      The Amazon SNS topic that Amazon Textract posts the completion status to.

    • RoleArn (string) -- [REQUIRED]

      The Amazon Resource Name (ARN) of an IAM role that gives Amazon Textract publishing permissions to the Amazon SNS topic.

Return type

dict

Returns

Response Syntax

{
    'JobId': 'string'
}

Response Structure

  • (dict) --

    • JobId (string) --

      The identifier for the document text detection job. Use JobId to identify the job in a subsequent call to GetDocumentAnalysis .

start_document_text_detection(**kwargs)

Starts the asynchronous detection of text in a document. Amazon Textract can detect lines of text and the words that make up a line of text.

StartDocumentTextDetection can analyze text in documents that are in JPG, PNG, and PDF format. The documents are stored in an Amazon S3 bucket. Use DocumentLocation to specify the bucket name and file name of the document.

StartTextDetection returns a job identifier (JobId ) that you use to get the results of the operation. When text detection is finished, Amazon Textract publishes a completion status to the Amazon Simple Notification Service (Amazon SNS) topic that you specify in NotificationChannel . To get the results of the text detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED . If so, call GetDocumentTextDetection , and pass the job identifier (JobId ) from the initial call to StartDocumentTextDetection .

For more information, see Document Text Detection .

See also: AWS API Documentation

Request Syntax

response = client.start_document_text_detection(
    DocumentLocation={
        'S3Object': {
            'Bucket': 'string',
            'Name': 'string',
            'Version': 'string'
        }
    },
    ClientRequestToken='string',
    JobTag='string',
    NotificationChannel={
        'SNSTopicArn': 'string',
        'RoleArn': 'string'
    }
)
Parameters
  • DocumentLocation (dict) --

    [REQUIRED]

    The location of the document to be processed.

    • S3Object (dict) --

      The Amazon S3 bucket that contains the input document.

      • Bucket (string) --

        The name of the S3 bucket.

      • Name (string) --

        The file name of the input document. It must be an image file (.JPG or .PNG format). Asynchronous operations also support PDF files.

      • Version (string) --

        If the bucket has versioning enabled, you can specify the object version.

  • ClientRequestToken (string) -- The idempotent token that's used to identify the start request. If you use the same token with multiple StartDocumentTextDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidentally started more than once.
  • JobTag (string) -- An identifier you specify that's included in the completion notification that's published to the Amazon SNS topic. For example, you can use JobTag to identify the type of document, such as a tax form or a receipt, that the completion notification corresponds to.
  • NotificationChannel (dict) --

    The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.

    • SNSTopicArn (string) -- [REQUIRED]

      The Amazon SNS topic that Amazon Textract posts the completion status to.

    • RoleArn (string) -- [REQUIRED]

      The Amazon Resource Name (ARN) of an IAM role that gives Amazon Textract publishing permissions to the Amazon SNS topic.

Return type

dict

Returns

Response Syntax

{
    'JobId': 'string'
}

Response Structure

  • (dict) --

    • JobId (string) --

      The identifier for the document text-detection job. Use JobId to identify the job in a subsequent call to GetDocumentTextDetection .

Paginators

The available paginators are:

SWF
TranscribeService

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