[ aws . textract ]

get-document-analysis

Description

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:

• 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 the StartDocumentAnalysis FeatureTypes input parameter).

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.

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 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

See ‘aws help’ for descriptions of global parameters.

Synopsis

  get-document-analysis
--job-id <value>
[--max-results <value>]
[--next-token <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--cli-auto-prompt <value>]

Options

--job-id (string)

A unique identifier for the text-detection job. The JobId is returned from StartDocumentAnalysis . A JobId value is only valid for 7 days.

--max-results (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.

--next-token (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.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

--cli-auto-prompt (boolean) Automatically prompt for CLI input parameters.

See ‘aws help’ for descriptions of global parameters.

Examples

To get the results of asynchronous text analysis of a multi-page document

The following get-document-analysis example shows how to get the results of asynchronous text analysis of a multi-page document.

aws textract get-document-analysis --job-id df7cf32ebbd2a5de113535fcf4d921926a701b09b4e7d089f3aebadb41e0712b --max-results 1000

Output

{
    "Blocks": [
        {
            "Geometry": {
                "BoundingBox": {
                    "Width": 1.0,
                    "Top": 0.0,
                    "Left": 0.0,
                    "Height": 1.0
                },
                "Polygon": [
                    {
                        "Y": 0.0,
                        "X": 0.0
                    },
                    {
                        "Y": 0.0,
                        "X": 1.0
                    },
                    {
                        "Y": 1.0,
                        "X": 1.0
                    },
                    {
                        "Y": 1.0,
                        "X": 0.0
                    }
                ]
            },
            "Relationships": [
                {
                    "Type": "CHILD",
                    "Ids": [
                        "75966e64-81c2-4540-9649-d66ec341cd8f",
                        "bb099c24-8282-464c-a179-8a9fa0a057f0",
                        "5ebf522d-f9e4-4dc7-bfae-a288dc094595"
                    ]
                }
            ],
            "BlockType": "PAGE",
            "Id": "247c28ee-b63d-4aeb-9af0-5f7ea8ba109e",
            "Page": 1
        }
    ],
    "NextToken": "cY1W3eTFvoB0cH7YrKVudI4Gb0H8J0xAYLo8xI/JunCIPWCthaKQ+07n/ElyutsSy0+1VOImoTRmP1zw4P0RFtaeV9Bzhnfedpx1YqwB4xaGDA==",
    "DocumentMetadata": {
        "Pages": 1
    },
    "JobStatus": "SUCCEEDED"
}

For more information, see Detecting and Analyzing Text in Multi-Page Documents in the Amazon Textract Developers Guide

Output

DocumentMetadata -> (structure)

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 that are 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.

(structure)

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 object depends on the type of operation. In text detection for documents (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 item that’s recognized. In operations for text detection, 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 are 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 linked text 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 that’s 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 are detected on a document page.

• TABLE - A table that’s detected on a document page. A table is grid-based information with two or more rows or columns, with a cell span of one row and one 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 selection element such as an option button (radio button) or a check box that’s detected on a document page. Use the value of SelectionStatus to determine the status of the selection element.

Confidence -> (float)

The confidence score 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 cell spans. Currently this value is always 1, even if the number of rows spanned is greater than 1. RowSpan isn’t returned by DetectDocumentText and GetDocumentTextDetection .

ColumnSpan -> (integer)

The number of columns that a table cell spans. Currently this value is always 1, even if the number of columns spanned is greater than 1. ColumnSpan isn’t returned by DetectDocumentText and GetDocumentTextDetection .

Geometry -> (structure)

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 -> (structure)

An axis-aligned coarse representation of the location of the recognized item 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 item.

(structure)

The X and Y coordinates of a point on a document page. The X and Y values that are 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.

(structure)

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 . A relationship of type VALUE is a list that contains the ID of the VALUE block that’s associated with the KEY of a key-value pair. A relationship of type CHILD is a list of IDs that identify WORD blocks.

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 selection element, such as an option button or check box.

Page -> (integer)

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

Warnings -> (list)

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

(structure)

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.

AnalyzeDocumentModelVersion -> (string)