AWS SDK for PHP 3.x

Service ID: textract

Version: 2018-06-27

This page describes the parameters and results for the operations of the Amazon Textract (2018-06-27), and shows how to use the Aws\Textract\TextractClient object to call the described operations. This documentation is specific to the 2018-06-27 API version of the service.

Operation Summary

Each of the following operations can be created from a client using $client->getCommand('CommandName'), where "CommandName" is the name of one of the following operations. Note: a command is a value that encapsulates an operation and the parameters used to create an HTTP request.

You can also create and send a command immediately using the magic methods available on a client object: $client->commandName(/* parameters */). You can send the command asynchronously (returning a promise) by appending the word "Async" to the operation name: $client->commandNameAsync(/* parameters */).

AnalyzeDocument ( array $params = [] )
Analyzes an input document for relationships between detected items.
DetectDocumentText ( array $params = [] )
Detects text in the input document.
GetDocumentAnalysis ( array $params = [] )
Gets the results for an Amazon Textract asynchronous operation that analyzes text in a document.
GetDocumentTextDetection ( array $params = [] )
Gets the results for an Amazon Textract asynchronous operation that detects text in a document.
StartDocumentAnalysis ( array $params = [] )
Starts asynchronous analysis of an input document for relationships between detected items such as key and value pairs, tables, and selection elements.
StartDocumentTextDetection ( array $params = [] )
Starts the asynchronous detection of text in a document.

Operations

AnalyzeDocument

$result = $client->analyzeDocument([/* ... */]);
$promise = $client->analyzeDocumentAsync([/* ... */]);

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.

Parameter Syntax

$result = $client->analyzeDocument([
    'Document' => [ // REQUIRED
        'Bytes' => <string || resource || Psr\Http\Message\StreamInterface>,
        'S3Object' => [
            'Bucket' => '<string>',
            'Name' => '<string>',
            'Version' => '<string>',
        ],
    ],
    'FeatureTypes' => ['<string>', ...], // REQUIRED
]);

Parameter Details

Members

Document

Required: Yes
Type: Document structure

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.

FeatureTypes

Required: Yes
Type: Array of strings

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.

Result Syntax

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

Result Details

Members

Blocks

Type: Array of Block structures

The text that's detected and analyzed by AnalyzeDocument.

DocumentMetadata

Type: DocumentMetadata structure

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

Errors

InvalidParameterException:
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.
InvalidS3ObjectException:
Amazon Textract is unable to access the S3 object that's specified in the request.
UnsupportedDocumentException:
The format of the input document isn't supported. Amazon Textract supports documents that are .png or .jpg format.
DocumentTooLargeException:
The document can't be processed because it's too large. The maximum document size for synchronous operations 5 MB. The maximum document size for asynchronous operations is 500 MB for PDF format files.
BadDocumentException:
Amazon Textract isn't able to read the document.
AccessDeniedException:
You aren't authorized to perform the action.
ProvisionedThroughputExceededException:
The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Textract.
InternalServerError:
Amazon Textract experienced a service issue. Try your call again.
ThrottlingException:
Amazon Textract is temporarily unable to process the request. Try your call again.

DetectDocumentText

$result = $client->detectDocumentText([/* ... */]);
$promise = $client->detectDocumentTextAsync([/* ... */]);

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.

Parameter Syntax

$result = $client->detectDocumentText([
    'Document' => [ // REQUIRED
        'Bytes' => <string || resource || Psr\Http\Message\StreamInterface>,
        'S3Object' => [
            'Bucket' => '<string>',
            'Name' => '<string>',
            'Version' => '<string>',
        ],
    ],
]);

Parameter Details

Members

Document

Required: Yes
Type: Document structure

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.

Result Syntax

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

Result Details

Members

Blocks

Type: Array of Block structures

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

DocumentMetadata

Type: DocumentMetadata structure

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

Errors

InvalidParameterException:
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.
InvalidS3ObjectException:
Amazon Textract is unable to access the S3 object that's specified in the request.
UnsupportedDocumentException:
The format of the input document isn't supported. Amazon Textract supports documents that are .png or .jpg format.
DocumentTooLargeException:
The document can't be processed because it's too large. The maximum document size for synchronous operations 5 MB. The maximum document size for asynchronous operations is 500 MB for PDF format files.
BadDocumentException:
Amazon Textract isn't able to read the document.
AccessDeniedException:
You aren't authorized to perform the action.
ProvisionedThroughputExceededException:
The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Textract.
InternalServerError:
Amazon Textract experienced a service issue. Try your call again.
ThrottlingException:
Amazon Textract is temporarily unable to process the request. Try your call again.

GetDocumentAnalysis

$result = $client->getDocumentAnalysis([/* ... */]);
$promise = $client->getDocumentAnalysisAsync([/* ... */]);

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.

Parameter Syntax

$result = $client->getDocumentAnalysis([
    'JobId' => '<string>', // REQUIRED
    'MaxResults' => <integer>,
    'NextToken' => '<string>',
]);

Parameter Details

Members

JobId

Required: Yes
Type: string

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

MaxResults

Type: int

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

Type: 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.

Result Syntax

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

Result Details

Members

Blocks

Type: Array of Block structures

The results of the text analysis operation.

DocumentMetadata

Type: 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.

JobStatus

Type: string

The current status of the text detection job.

NextToken

Type: 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.

StatusMessage

Type: string

The current status of an asynchronous document analysis operation.

Warnings

Type: Array of Warning structures

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

Errors

InvalidParameterException:
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.
AccessDeniedException:
You aren't authorized to perform the action.
ProvisionedThroughputExceededException:
The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Textract.
InvalidJobIdException:
An invalid job identifier was passed to GetDocumentAnalysis or to GetDocumentAnalysis.
InternalServerError:
Amazon Textract experienced a service issue. Try your call again.
ThrottlingException:
Amazon Textract is temporarily unable to process the request. Try your call again.

GetDocumentTextDetection

$result = $client->getDocumentTextDetection([/* ... */]);
$promise = $client->getDocumentTextDetectionAsync([/* ... */]);

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.

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.

Parameter Syntax

$result = $client->getDocumentTextDetection([
    'JobId' => '<string>', // REQUIRED
    'MaxResults' => <integer>,
    'NextToken' => '<string>',
]);

Parameter Details

Members

JobId

Required: Yes
Type: string

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

MaxResults

Type: int

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

Type: string

Result Syntax

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

Result Details

Members

Blocks

Type: Array of Block structures

The results of the text-detection operation.

DocumentMetadata

Type: 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.

JobStatus

Type: string

The current status of the text detection job.

NextToken

Type: 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.

StatusMessage

Type: string

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

Warnings

Type: Array of Warning structures

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

Errors

InvalidParameterException:
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.
AccessDeniedException:
You aren't authorized to perform the action.
ProvisionedThroughputExceededException:
The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Textract.
InvalidJobIdException:
An invalid job identifier was passed to GetDocumentAnalysis or to GetDocumentAnalysis.
InternalServerError:
Amazon Textract experienced a service issue. Try your call again.
ThrottlingException:
Amazon Textract is temporarily unable to process the request. Try your call again.

StartDocumentAnalysis

$result = $client->startDocumentAnalysis([/* ... */]);
$promise = $client->startDocumentAnalysisAsync([/* ... */]);

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.

Parameter Syntax

$result = $client->startDocumentAnalysis([
    'ClientRequestToken' => '<string>',
    'DocumentLocation' => [ // REQUIRED
        'S3Object' => [
            'Bucket' => '<string>',
            'Name' => '<string>',
            'Version' => '<string>',
        ],
    ],
    'FeatureTypes' => ['<string>', ...], // REQUIRED
    'JobTag' => '<string>',
    'NotificationChannel' => [
        'RoleArn' => '<string>', // REQUIRED
        'SNSTopicArn' => '<string>', // REQUIRED
    ],
]);

Parameter Details

Members

ClientRequestToken

Type: 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.

DocumentLocation

Required: Yes
Type: DocumentLocation structure

The location of the document to be processed.

FeatureTypes

Required: Yes
Type: Array of strings

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.

JobTag

Type: 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

Type: NotificationChannel structure

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

Result Syntax

[
    'JobId' => '<string>',
]

Result Details

Members

JobId

Type: string

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

Errors

InvalidParameterException:
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.
InvalidS3ObjectException:
Amazon Textract is unable to access the S3 object that's specified in the request.
UnsupportedDocumentException:
The format of the input document isn't supported. Amazon Textract supports documents that are .png or .jpg format.
DocumentTooLargeException:
The document can't be processed because it's too large. The maximum document size for synchronous operations 5 MB. The maximum document size for asynchronous operations is 500 MB for PDF format files.
BadDocumentException:
Amazon Textract isn't able to read the document.
AccessDeniedException:
You aren't authorized to perform the action.
ProvisionedThroughputExceededException:
The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Textract.
InternalServerError:
Amazon Textract experienced a service issue. Try your call again.
IdempotentParameterMismatchException:
A ClientRequestToken input parameter was reused with an operation, but at least one of the other input parameters is different from the previous call to the operation.
ThrottlingException:
Amazon Textract is temporarily unable to process the request. Try your call again.
LimitExceededException:
An Amazon Textract service limit was exceeded. For example, if you start too many asynchronous jobs concurrently, calls to start operations (StartDocumentTextDetection, for example) raise a LimitExceededException exception (HTTP status code: 400) until the number of concurrently running jobs is below the Amazon Textract service limit.

StartDocumentTextDetection

$result = $client->startDocumentTextDetection([/* ... */]);
$promise = $client->startDocumentTextDetectionAsync([/* ... */]);

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.

Parameter Syntax

$result = $client->startDocumentTextDetection([
    'ClientRequestToken' => '<string>',
    'DocumentLocation' => [ // REQUIRED
        'S3Object' => [
            'Bucket' => '<string>',
            'Name' => '<string>',
            'Version' => '<string>',
        ],
    ],
    'JobTag' => '<string>',
    'NotificationChannel' => [
        'RoleArn' => '<string>', // REQUIRED
        'SNSTopicArn' => '<string>', // REQUIRED
    ],
]);

Parameter Details

Members

ClientRequestToken

Type: 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.

DocumentLocation

Required: Yes
Type: DocumentLocation structure

The location of the document to be processed.

JobTag

Type: string

NotificationChannel

Type: NotificationChannel structure

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

Result Syntax

[
    'JobId' => '<string>',
]

Result Details

Members

JobId

Type: string

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

Errors

InvalidParameterException:
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.
InvalidS3ObjectException:
Amazon Textract is unable to access the S3 object that's specified in the request.
UnsupportedDocumentException:
The format of the input document isn't supported. Amazon Textract supports documents that are .png or .jpg format.
DocumentTooLargeException:
The document can't be processed because it's too large. The maximum document size for synchronous operations 5 MB. The maximum document size for asynchronous operations is 500 MB for PDF format files.
BadDocumentException:
Amazon Textract isn't able to read the document.
AccessDeniedException:
You aren't authorized to perform the action.
ProvisionedThroughputExceededException:
The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Textract.
InternalServerError:
Amazon Textract experienced a service issue. Try your call again.
IdempotentParameterMismatchException:
A ClientRequestToken input parameter was reused with an operation, but at least one of the other input parameters is different from the previous call to the operation.
ThrottlingException:
Amazon Textract is temporarily unable to process the request. Try your call again.
LimitExceededException:
An Amazon Textract service limit was exceeded. For example, if you start too many asynchronous jobs concurrently, calls to start operations (StartDocumentTextDetection, for example) raise a LimitExceededException exception (HTTP status code: 400) until the number of concurrently running jobs is below the Amazon Textract service limit.

Shapes

AccessDeniedException

Description

You aren't authorized to perform the action.

Members

BadDocumentException

Description

Amazon Textract isn't able to read the document.

Members

Block

Description

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.

Members

BlockType

Type: 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.

ColumnIndex

Type: int

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

ColumnSpan

Type: int

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

Confidence

Type: 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.

EntityTypes

Type: Array of strings

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.

Geometry

Type: 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.

Id

Type: string

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

Page

Type: int

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.

Relationships

Type: Array of Relationship structures

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.

RowIndex

Type: int

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

RowSpan

Type: int

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

SelectionStatus

Type: string

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

Text

Type: string

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

BoundingBox

Description

The bounding box around the recognized text, key, value, table or table cell on a document page. The left (x-coordinate) and top (y-coordinate) are coordinates that represent the top and left sides of the bounding box. Note that the upper-left corner of the image is the origin (0,0).

The top and left values returned are ratios of the overall document page size. For example, if the input image is 700 x 200 pixels, and the top-left coordinate of the bounding box is 350 x 50 pixels, the API returns a left value of 0.5 (350/700) and a top value of 0.25 (50/200).

The width and height values represent the dimensions of the bounding box as a ratio of the overall document page dimension. For example, if the document page size is 700 x 200 pixels, and the bounding box width is 70 pixels, the width returned is 0.1.

Members

Height

Type: float

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

Left

Type: float

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

Top

Type: float

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

Width

Type: float

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

Document

Description

The input document, either as bytes or as an S3 object.

You pass image bytes to an Amazon Textract API operation by using the Bytes property. For example, you would use the Bytes property to pass a document loaded from a local file system. Image bytes passed by using the Bytes property must be base64 encoded. Your code might not need to encode document file bytes if you're using an AWS SDK to call Amazon Textract API operations.

You pass images stored in an S3 bucket to an Amazon Textract API operation by using the S3Object property. Documents stored in an S3 bucket don't need to be base64 encoded.

The AWS Region for the S3 bucket that contains the S3 object must match the AWS Region that you use for Amazon Textract operations.

If you use the AWS CLI to call Amazon Textract operations, passing image bytes using the Bytes property isn't supported. You must first upload the document to an Amazon S3 bucket, and then call the operation using the S3Object property.

For Amazon Textract to process an S3 object, the user must have permission to access the S3 object.

Members

Bytes

Type: blob (string|resource|Psr\Http\Message\StreamInterface)

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

Type: S3Object structure

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

DocumentLocation

Description

The Amazon S3 bucket that contains the document to be processed. It's used by asynchronous operations such as StartDocumentTextDetection.

The input document can be an image file in JPG or PNG format. It can also be a file in PDF format.

Members

S3Object

Type: S3Object structure

The Amazon S3 bucket that contains the input document.

DocumentMetadata

Description

Information about the input document.

Members

Pages

Type: int

The number of pages detected in the document.

DocumentTooLargeException

Description

The document can't be processed because it's too large. The maximum document size for synchronous operations 5 MB. The maximum document size for asynchronous operations is 500 MB for PDF format files.

Members

Geometry

Description

Information about where a recognized text, key, value, table, or table cell is located on a document page.

Members

BoundingBox

Type: BoundingBox structure

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

Polygon

Type: Array of Point structures

Members

RoleArn

Required: Yes
Type: string

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

SNSTopicArn

Required: Yes
Type: string

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

Point

Description

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.

Members

X

Type: float

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

Y

Type: float

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

ProvisionedThroughputExceededException

Description

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

Members

Relationship

Description

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.

Members

Ids

Type: Array of strings

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

Type

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.

S3Object

Description

The S3 bucket name and file name that identifies the document.

The AWS Region for the S3 bucket that contains the document must match the Region that you use for Amazon Textract operations.

For Amazon Textract to process a file in an S3 bucket, the user must have permission to access the S3 bucket and file.

Members

Bucket

Type: string

The name of the S3 bucket.

Name

Type: 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

Type: string

Members

ErrorCode

Type: string

The error code for the warning.

Pages

Type: Array of ints

A list of the pages that the warning applies to.

Namespaces

Classes

Interfaces

Traits

Exceptions

Functions

Amazon Textract 2018-06-27

Operation Summary

Operations

AnalyzeDocument

Parameter Syntax

Parameter Details

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Result Syntax

Result Details

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Errors

DetectDocumentText

Parameter Syntax

Parameter Details

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Result Syntax

Result Details

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Errors

GetDocumentAnalysis

Parameter Syntax

Parameter Details

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Result Syntax

Result Details

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Errors

GetDocumentTextDetection

Parameter Syntax

Parameter Details

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Result Syntax

Result Details

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Errors

StartDocumentAnalysis

Parameter Syntax

Parameter Details

Members

Result Syntax

Result Details

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Errors

StartDocumentTextDetection

Parameter Syntax

Parameter Details

Members

Result Syntax

Result Details

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Errors

Shapes

AccessDeniedException

Description

Members

BadDocumentException

Description

Members

Block

Description

Members

BoundingBox

Description

Members

Document

Description

Members

DocumentLocation

Description

Members

DocumentMetadata

Description

Members

DocumentTooLargeException