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.
AnalyzeExpense ( array $params = [] )
Analyzes an input document for financially related relationships between text.
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.
GetExpenseAnalysis ( array $params = [] )
Gets the results for an Amazon Textract asynchronous operation that analyzes invoices and receipts.
StartDocumentAnalysis ( array $params = [] )
Starts the asynchronous analysis of an input document for relationships between detected items such as key-value pairs, tables, and selection elements.
StartDocumentTextDetection ( array $params = [] )
Starts the asynchronous detection of text in a document.
StartExpenseAnalysis ( array $params = [] )
Starts the asynchronous analysis of invoices or receipts for data like contact information, items purchased, and vendor names.

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:

Form data (key-value pairs). The related information is returned in two Block objects, each of type KEY_VALUE_SET: a KEY Block object and a VALUE Block object. For example, Name: Ana Silva Carolina contains a key and value. Name: is the key. Ana Silva Carolina is the value.
Table and table cell data. A TABLE Block object contains information about a detected table. A CELL Block object is returned for each cell in a table.
Lines and words of text. A LINE Block object contains one or more WORD Block objects. All lines and words that are detected in the document are returned (including text that doesn't have a relationship with the value of FeatureTypes).

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

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

The output is returned in a list of Block objects.

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

For more information, see Document Text Analysis.

Parameter Syntax

$result = $client->analyzeDocument([
    'Document' => [ // REQUIRED
        'Bytes' => <string || resource || Psr\Http\Message\StreamInterface>,
        'S3Object' => [
            'Bucket' => '<string>',
            'Name' => '<string>',
            'Version' => '<string>',
        ],
    ],
    'FeatureTypes' => ['<string>', ...], // REQUIRED
    'HumanLoopConfig' => [
        'DataAttributes' => [
            'ContentClassifiers' => ['<string>', ...],
        ],
        'FlowDefinitionArn' => '<string>', // REQUIRED
        'HumanLoopName' => '<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 JPEG or PNG format.

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

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 form data. To perform both types of analysis, add TABLES and FORMS to FeatureTypes. All lines and words detected in the document are included in the response (including text that isn't related to the value of FeatureTypes).

HumanLoopConfig

Type: HumanLoopConfig structure

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

Result Syntax

[
    'AnalyzeDocumentModelVersion' => '<string>',
    '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|COMPLEX_FEATURES',
                ],
                // ...
            ],
            'RowIndex' => <integer>,
            'RowSpan' => <integer>,
            'SelectionStatus' => 'SELECTED|NOT_SELECTED',
            'Text' => '<string>',
            'TextType' => 'HANDWRITING|PRINTED',
        ],
        // ...
    ],
    'DocumentMetadata' => [
        'Pages' => <integer>,
    ],
    'HumanLoopActivationOutput' => [
        'HumanLoopActivationConditionsEvaluationResults' => '<string>',
        'HumanLoopActivationReasons' => ['<string>', ...],
        'HumanLoopArn' => '<string>',
    ],
]

Result Details

Members

AnalyzeDocumentModelVersion

Type: string

The version of the model used to analyze the document.

Blocks

Type: Array of Block structures

The items that are detected and analyzed by AnalyzeDocument.

DocumentMetadata

Type: DocumentMetadata structure

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

HumanLoopActivationOutput

Type: HumanLoopActivationOutput structure

Shows the results of the human in the loop evaluation.

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. for more information, Configure Access to Amazon S3 For troubleshooting information, see Troubleshooting Amazon S3
UnsupportedDocumentException:
The format of the input document isn't supported. Documents for synchronous operations can be in PNG or JPEG format. Documents for asynchronous operations can also be in PDF format.
DocumentTooLargeException:
The document can't be processed because it's too large. The maximum document size for synchronous operations 10 MB. The maximum document size for asynchronous operations is 500 MB for PDF files.
BadDocumentException:
Amazon Textract isn't able to read the document. For more information on the document limits in Amazon Textract, see limits.
AccessDeniedException:
You aren't authorized to perform the action. Use the Amazon Resource Name (ARN) of an authorized user or IAM role to perform the operation.
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.
HumanLoopQuotaExceededException:
Indicates you have exceeded the maximum number of active human in the loop workflows available

AnalyzeExpense

$result = $client->analyzeExpense([/* ... */]);
$promise = $client->analyzeExpenseAsync([/* ... */]);

Analyzes an input document for financially related relationships between text.

Information is returned as ExpenseDocuments and seperated as follows.

LineItemGroups- A data set containing LineItems which store information about the lines of text, such as an item purchased and its price on a receipt.
SummaryFields- Contains all other information a receipt, such as header information or the vendors name.

Parameter Syntax

$result = $client->analyzeExpense([
    '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

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.

Result Syntax

[
    'DocumentMetadata' => [
        'Pages' => <integer>,
    ],
    'ExpenseDocuments' => [
        [
            'ExpenseIndex' => <integer>,
            'LineItemGroups' => [
                [
                    'LineItemGroupIndex' => <integer>,
                    'LineItems' => [
                        [
                            'LineItemExpenseFields' => [
                                [
                                    'LabelDetection' => [
                                        'Confidence' => <float>,
                                        'Geometry' => [
                                            'BoundingBox' => [
                                                'Height' => <float>,
                                                'Left' => <float>,
                                                'Top' => <float>,
                                                'Width' => <float>,
                                            ],
                                            'Polygon' => [
                                                [
                                                    'X' => <float>,
                                                    'Y' => <float>,
                                                ],
                                                // ...
                                            ],
                                        ],
                                        'Text' => '<string>',
                                    ],
                                    'PageNumber' => <integer>,
                                    'Type' => [
                                        'Confidence' => <float>,
                                        'Text' => '<string>',
                                    ],
                                    'ValueDetection' => [
                                        'Confidence' => <float>,
                                        'Geometry' => [
                                            'BoundingBox' => [
                                                'Height' => <float>,
                                                'Left' => <float>,
                                                'Top' => <float>,
                                                'Width' => <float>,
                                            ],
                                            'Polygon' => [
                                                [
                                                    'X' => <float>,
                                                    'Y' => <float>,
                                                ],
                                                // ...
                                            ],
                                        ],
                                        'Text' => '<string>',
                                    ],
                                ],
                                // ...
                            ],
                        ],
                        // ...
                    ],
                ],
                // ...
            ],
            'SummaryFields' => [
                [
                    'LabelDetection' => [
                        'Confidence' => <float>,
                        'Geometry' => [
                            'BoundingBox' => [
                                'Height' => <float>,
                                'Left' => <float>,
                                'Top' => <float>,
                                'Width' => <float>,
                            ],
                            'Polygon' => [
                                [
                                    'X' => <float>,
                                    'Y' => <float>,
                                ],
                                // ...
                            ],
                        ],
                        'Text' => '<string>',
                    ],
                    'PageNumber' => <integer>,
                    'Type' => [
                        'Confidence' => <float>,
                        'Text' => '<string>',
                    ],
                    'ValueDetection' => [
                        'Confidence' => <float>,
                        'Geometry' => [
                            'BoundingBox' => [
                                'Height' => <float>,
                                'Left' => <float>,
                                'Top' => <float>,
                                'Width' => <float>,
                            ],
                            'Polygon' => [
                                [
                                    'X' => <float>,
                                    'Y' => <float>,
                                ],
                                // ...
                            ],
                        ],
                        'Text' => '<string>',
                    ],
                ],
                // ...
            ],
        ],
        // ...
    ],
]

Result Details

Members

DocumentMetadata

Type: DocumentMetadata structure

Information about the input document.

ExpenseDocuments

Type: Array of ExpenseDocument structures

The expenses detected by Amazon Textract.

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. for more information, Configure Access to Amazon S3 For troubleshooting information, see Troubleshooting Amazon S3
UnsupportedDocumentException:
The format of the input document isn't supported. Documents for synchronous operations can be in PNG or JPEG format. Documents for asynchronous operations can also be in PDF format.
DocumentTooLargeException:
The document can't be processed because it's too large. The maximum document size for synchronous operations 10 MB. The maximum document size for asynchronous operations is 500 MB for PDF files.
BadDocumentException:
Amazon Textract isn't able to read the document. For more information on the document limits in Amazon Textract, see limits.
AccessDeniedException:
You aren't authorized to perform the action. Use the Amazon Resource Name (ARN) of an authorized user or IAM role to perform the operation.
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 JPEG or PNG format. DetectDocumentText returns the detected text in an array of Block objects.

Each document page has as an associated Block of type PAGE. Each PAGE Block object is the parent of LINE Block objects that represent the lines of detected text on a page. A LINE Block object is a parent for each word that makes up the line. Words are represented by Block objects of type WORD.

DetectDocumentText is a synchronous operation. To analyze documents asynchronously, use StartDocumentTextDetection.

For more information, see Document Text Detection.

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

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|COMPLEX_FEATURES',
                ],
                // ...
            ],
            'RowIndex' => <integer>,
            'RowSpan' => <integer>,
            'SelectionStatus' => 'SELECTED|NOT_SELECTED',
            'Text' => '<string>',
            'TextType' => 'HANDWRITING|PRINTED',
        ],
        // ...
    ],
    'DetectDocumentTextModelVersion' => '<string>',
    'DocumentMetadata' => [
        'Pages' => <integer>,
    ],
]

Result Details

Members

Blocks

Type: Array of Block structures

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

DetectDocumentTextModelVersion

Type: string

DocumentMetadata

Type: DocumentMetadata structure

Metadata about the document. It 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. for more information, Configure Access to Amazon S3 For troubleshooting information, see Troubleshooting Amazon S3
UnsupportedDocumentException:
The format of the input document isn't supported. Documents for synchronous operations can be in PNG or JPEG format. Documents for asynchronous operations can also be in PDF format.
DocumentTooLargeException:
The document can't be processed because it's too large. The maximum document size for synchronous operations 10 MB. The maximum document size for asynchronous operations is 500 MB for PDF files.
BadDocumentException:
Amazon Textract isn't able to read the document. For more information on the document limits in Amazon Textract, see limits.
AccessDeniedException:
You aren't authorized to perform the action. Use the Amazon Resource Name (ARN) of an authorized user or IAM role to perform the operation.
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:

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).

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.

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. A JobId value is only valid for 7 days.

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

[
    'AnalyzeDocumentModelVersion' => '<string>',
    '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|COMPLEX_FEATURES',
                ],
                // ...
            ],
            'RowIndex' => <integer>,
            'RowSpan' => <integer>,
            'SelectionStatus' => 'SELECTED|NOT_SELECTED',
            'Text' => '<string>',
            'TextType' => 'HANDWRITING|PRINTED',
        ],
        // ...
    ],
    'DocumentMetadata' => [
        'Pages' => <integer>,
    ],
    'JobStatus' => 'IN_PROGRESS|SUCCEEDED|FAILED|PARTIAL_SUCCESS',
    'NextToken' => '<string>',
    'StatusMessage' => '<string>',
    'Warnings' => [
        [
            'ErrorCode' => '<string>',
            'Pages' => [<integer>, ...],
        ],
        // ...
    ],
]

Result Details

Members

AnalyzeDocumentModelVersion

Type: string

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

Returns if the detection job could not be completed. Contains explanation for what error occured.

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. Use the Amazon Resource Name (ARN) of an authorized user or IAM role to perform the operation.
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.
InvalidS3ObjectException:
Amazon Textract is unable to access the S3 object that's specified in the request. for more information, Configure Access to Amazon S3 For troubleshooting information, see Troubleshooting Amazon S3
InvalidKMSKeyException:
Indicates you do not have decrypt permissions with the KMS key entered, or the KMS key was entered incorrectly.

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. A JobId value is only valid for 7 days.

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|COMPLEX_FEATURES',
                ],
                // ...
            ],
            'RowIndex' => <integer>,
            'RowSpan' => <integer>,
            'SelectionStatus' => 'SELECTED|NOT_SELECTED',
            'Text' => '<string>',
            'TextType' => 'HANDWRITING|PRINTED',
        ],
        // ...
    ],
    'DetectDocumentTextModelVersion' => '<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.

DetectDocumentTextModelVersion

Type: string

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

Returns if the detection job could not be completed. Contains explanation for what error occured.

Warnings

Type: Array of Warning structures

A list of warnings that occurred during the text-detection operation for 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.
AccessDeniedException:
You aren't authorized to perform the action. Use the Amazon Resource Name (ARN) of an authorized user or IAM role to perform the operation.
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.
InvalidS3ObjectException:
Amazon Textract is unable to access the S3 object that's specified in the request. for more information, Configure Access to Amazon S3 For troubleshooting information, see Troubleshooting Amazon S3
InvalidKMSKeyException:
Indicates you do not have decrypt permissions with the KMS key entered, or the KMS key was entered incorrectly.

GetExpenseAnalysis

$result = $client->getExpenseAnalysis([/* ... */]);
$promise = $client->getExpenseAnalysisAsync([/* ... */]);

Gets the results for an Amazon Textract asynchronous operation that analyzes invoices and receipts. Amazon Textract finds contact information, items purchased, and vendor name, from input invoices and receipts.

You start asynchronous invoice/receipt analysis by calling StartExpenseAnalysis, which returns a job identifier (JobId). Upon completion of the invoice/receipt analysis, Amazon Textract publishes the completion status to the Amazon Simple Notification Service (Amazon SNS) topic. This topic must be registered in the initial call to StartExpenseAnalysis. To get the results of the invoice/receipt analysis operation, first ensure that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetExpenseAnalysis, and pass the job identifier (JobId) from the initial call to StartExpenseAnalysis.

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 GetExpenseAnalysis, and populate the NextToken request parameter with the token value that's returned from the previous call to GetExpenseAnalysis.

For more information, see Analyzing Invoices and Receipts.

Parameter Syntax

$result = $client->getExpenseAnalysis([
    '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 StartExpenseAnalysis. A JobId value is only valid for 7 days.

MaxResults

Type: int

The maximum number of results to return per paginated call. The largest value you can specify is 20. If you specify a value greater than 20, a maximum of 20 results is returned. The default value is 20.

NextToken

Type: string

Result Syntax

[
    'AnalyzeExpenseModelVersion' => '<string>',
    'DocumentMetadata' => [
        'Pages' => <integer>,
    ],
    'ExpenseDocuments' => [
        [
            'ExpenseIndex' => <integer>,
            'LineItemGroups' => [
                [
                    'LineItemGroupIndex' => <integer>,
                    'LineItems' => [
                        [
                            'LineItemExpenseFields' => [
                                [
                                    'LabelDetection' => [
                                        'Confidence' => <float>,
                                        'Geometry' => [
                                            'BoundingBox' => [
                                                'Height' => <float>,
                                                'Left' => <float>,
                                                'Top' => <float>,
                                                'Width' => <float>,
                                            ],
                                            'Polygon' => [
                                                [
                                                    'X' => <float>,
                                                    'Y' => <float>,
                                                ],
                                                // ...
                                            ],
                                        ],
                                        'Text' => '<string>',
                                    ],
                                    'PageNumber' => <integer>,
                                    'Type' => [
                                        'Confidence' => <float>,
                                        'Text' => '<string>',
                                    ],
                                    'ValueDetection' => [
                                        'Confidence' => <float>,
                                        'Geometry' => [
                                            'BoundingBox' => [
                                                'Height' => <float>,
                                                'Left' => <float>,
                                                'Top' => <float>,
                                                'Width' => <float>,
                                            ],
                                            'Polygon' => [
                                                [
                                                    'X' => <float>,
                                                    'Y' => <float>,
                                                ],
                                                // ...
                                            ],
                                        ],
                                        'Text' => '<string>',
                                    ],
                                ],
                                // ...
                            ],
                        ],
                        // ...
                    ],
                ],
                // ...
            ],
            'SummaryFields' => [
                [
                    'LabelDetection' => [
                        'Confidence' => <float>,
                        'Geometry' => [
                            'BoundingBox' => [
                                'Height' => <float>,
                                'Left' => <float>,
                                'Top' => <float>,
                                'Width' => <float>,
                            ],
                            'Polygon' => [
                                [
                                    'X' => <float>,
                                    'Y' => <float>,
                                ],
                                // ...
                            ],
                        ],
                        'Text' => '<string>',
                    ],
                    'PageNumber' => <integer>,
                    'Type' => [
                        'Confidence' => <float>,
                        'Text' => '<string>',
                    ],
                    'ValueDetection' => [
                        'Confidence' => <float>,
                        'Geometry' => [
                            'BoundingBox' => [
                                'Height' => <float>,
                                'Left' => <float>,
                                'Top' => <float>,
                                'Width' => <float>,
                            ],
                            'Polygon' => [
                                [
                                    'X' => <float>,
                                    'Y' => <float>,
                                ],
                                // ...
                            ],
                        ],
                        'Text' => '<string>',
                    ],
                ],
                // ...
            ],
        ],
        // ...
    ],
    'JobStatus' => 'IN_PROGRESS|SUCCEEDED|FAILED|PARTIAL_SUCCESS',
    'NextToken' => '<string>',
    'StatusMessage' => '<string>',
    'Warnings' => [
        [
            'ErrorCode' => '<string>',
            'Pages' => [<integer>, ...],
        ],
        // ...
    ],
]

Result Details

Members

AnalyzeExpenseModelVersion

Type: string

The current model version of AnalyzeExpense.

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 operation.

ExpenseDocuments

Type: Array of ExpenseDocument structures

The expenses detected by Amazon Textract.

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

Returns if the detection job could not be completed. Contains explanation for what error occured.

Warnings

Type: Array of Warning structures

A list of warnings that occurred during the text-detection operation for 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.
AccessDeniedException:
You aren't authorized to perform the action. Use the Amazon Resource Name (ARN) of an authorized user or IAM role to perform the operation.
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.
InvalidS3ObjectException:
Amazon Textract is unable to access the S3 object that's specified in the request. for more information, Configure Access to Amazon S3 For troubleshooting information, see Troubleshooting Amazon S3
InvalidKMSKeyException:
Indicates you do not have decrypt permissions with the KMS key entered, or the KMS key was entered incorrectly.

StartDocumentAnalysis

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

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

StartDocumentAnalysis can analyze text in documents that are in JPEG, PNG, TIFF, 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>',
    'KMSKeyId' => '<string>',
    'NotificationChannel' => [
        'RoleArn' => '<string>', // REQUIRED
        'SNSTopicArn' => '<string>', // REQUIRED
    ],
    'OutputConfig' => [
        'S3Bucket' => '<string>', // REQUIRED
        'S3Prefix' => '<string>',
    ],
]);

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. For more information, see Calling Amazon Textract Asynchronous Operations.

DocumentLocation

Required: Yes
Type: DocumentLocation structure

The location of the document to be processed.

FeatureTypes

Required: Yes
Type: Array of strings

JobTag

Type: string

An identifier that you specify that's included in the completion notification published to the Amazon SNS topic. For example, you can use JobTag to identify the type of document that the completion notification corresponds to (such as a tax form or a receipt).

KMSKeyId

Type: string

The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side,using SSE-S3.

NotificationChannel

Type: NotificationChannel structure

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

OutputConfig

Type: OutputConfig structure

Sets if the output will go to a customer defined bucket. By default, Amazon Textract will save the results internally to be accessed by the GetDocumentAnalysis operation.

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. A JobId value is only valid for 7 days.

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. for more information, Configure Access to Amazon S3 For troubleshooting information, see Troubleshooting Amazon S3
InvalidKMSKeyException:
Indicates you do not have decrypt permissions with the KMS key entered, or the KMS key was entered incorrectly.
UnsupportedDocumentException:
The format of the input document isn't supported. Documents for synchronous operations can be in PNG or JPEG format. Documents for asynchronous operations can also be in PDF format.
DocumentTooLargeException:
The document can't be processed because it's too large. The maximum document size for synchronous operations 10 MB. The maximum document size for asynchronous operations is 500 MB for PDF files.
BadDocumentException:
Amazon Textract isn't able to read the document. For more information on the document limits in Amazon Textract, see limits.
AccessDeniedException:
You aren't authorized to perform the action. Use the Amazon Resource Name (ARN) of an authorized user or IAM role to perform the operation.
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 JPEG, PNG, TIFF, 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>',
    'KMSKeyId' => '<string>',
    'NotificationChannel' => [
        'RoleArn' => '<string>', // REQUIRED
        'SNSTopicArn' => '<string>', // REQUIRED
    ],
    'OutputConfig' => [
        'S3Bucket' => '<string>', // REQUIRED
        'S3Prefix' => '<string>',
    ],
]);

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. For more information, see Calling Amazon Textract Asynchronous Operations.

DocumentLocation

Required: Yes
Type: DocumentLocation structure

The location of the document to be processed.

JobTag

Type: string

KMSKeyId

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.

OutputConfig

Type: OutputConfig structure

Sets if the output will go to a customer defined bucket. By default Amazon Textract will save the results internally to be accessed with the GetDocumentTextDetection operation.

Result Syntax

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

Result Details

Members

JobId

Type: string

The identifier of the text detection job for the document. Use JobId to identify the job in a subsequent call to GetDocumentTextDetection. A JobId value is only valid for 7 days.

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. for more information, Configure Access to Amazon S3 For troubleshooting information, see Troubleshooting Amazon S3
InvalidKMSKeyException:
Indicates you do not have decrypt permissions with the KMS key entered, or the KMS key was entered incorrectly.
UnsupportedDocumentException:
The format of the input document isn't supported. Documents for synchronous operations can be in PNG or JPEG format. Documents for asynchronous operations can also be in PDF format.
DocumentTooLargeException:
The document can't be processed because it's too large. The maximum document size for synchronous operations 10 MB. The maximum document size for asynchronous operations is 500 MB for PDF files.
BadDocumentException:
Amazon Textract isn't able to read the document. For more information on the document limits in Amazon Textract, see limits.
AccessDeniedException:
You aren't authorized to perform the action. Use the Amazon Resource Name (ARN) of an authorized user or IAM role to perform the operation.
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.

StartExpenseAnalysis

$result = $client->startExpenseAnalysis([/* ... */]);
$promise = $client->startExpenseAnalysisAsync([/* ... */]);

Starts the asynchronous analysis of invoices or receipts for data like contact information, items purchased, and vendor names.

StartExpenseAnalysis can analyze text in documents that are in JPEG, PNG, and PDF format. The documents must be stored in an Amazon S3 bucket. Use the DocumentLocation parameter to specify the name of your S3 bucket and the name of the document in that bucket.

StartExpenseAnalysis returns a job identifier (JobId) that you will provide to GetExpenseAnalysis to retrieve the results of the operation. When the analysis of the input invoices/receipts is finished, Amazon Textract publishes a completion status to the Amazon Simple Notification Service (Amazon SNS) topic that you provide to the NotificationChannel. To obtain the results of the invoice and receipt analysis operation, ensure that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetExpenseAnalysis, and pass the job identifier (JobId) that was returned by your call to StartExpenseAnalysis.

For more information, see Analyzing Invoices and Receipts.

Parameter Syntax

$result = $client->startExpenseAnalysis([
    'ClientRequestToken' => '<string>',
    'DocumentLocation' => [ // REQUIRED
        'S3Object' => [
            'Bucket' => '<string>',
            'Name' => '<string>',
            'Version' => '<string>',
        ],
    ],
    'JobTag' => '<string>',
    'KMSKeyId' => '<string>',
    'NotificationChannel' => [
        'RoleArn' => '<string>', // REQUIRED
        'SNSTopicArn' => '<string>', // REQUIRED
    ],
    'OutputConfig' => [
        'S3Bucket' => '<string>', // REQUIRED
        'S3Prefix' => '<string>',
    ],
]);

Parameter Details

Members

ClientRequestToken

Type: string

DocumentLocation

Required: Yes
Type: DocumentLocation structure

The location of the document to be processed.

JobTag

Type: string

An identifier you specify that's included in the completion notification published to the Amazon SNS topic. For example, you can use JobTag to identify the type of document that the completion notification corresponds to (such as a tax form or a receipt).

KMSKeyId

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.

OutputConfig

Type: OutputConfig structure

Sets if the output will go to a customer defined bucket. By default, Amazon Textract will save the results internally to be accessed by the GetExpenseAnalysis operation.

Result Syntax

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

Result Details

Members

JobId

Type: string

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

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. for more information, Configure Access to Amazon S3 For troubleshooting information, see Troubleshooting Amazon S3
InvalidKMSKeyException:
Indicates you do not have decrypt permissions with the KMS key entered, or the KMS key was entered incorrectly.
UnsupportedDocumentException:
The format of the input document isn't supported. Documents for synchronous operations can be in PNG or JPEG format. Documents for asynchronous operations can also be in PDF format.
DocumentTooLargeException:
The document can't be processed because it's too large. The maximum document size for synchronous operations 10 MB. The maximum document size for asynchronous operations is 500 MB for PDF files.
BadDocumentException:
Amazon Textract isn't able to read the document. For more information on the document limits in Amazon Textract, see limits.
AccessDeniedException:
You aren't authorized to perform the action. Use the Amazon Resource Name (ARN) of an authorized user or IAM role to perform the operation.
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. Use the Amazon Resource Name (ARN) of an authorized user or IAM role to perform the operation.

Members

BadDocumentException

Description

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

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 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.

Members

BlockType

Type: 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.

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. 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.

Confidence

Type: 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.

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 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 or TIFF 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.

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 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.

SelectionStatus

Type: string

The selection status of a selection element, such as an option button or check box.

Text

Type: string

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

TextType

Type: string

The kind of text that Amazon Textract has detected. Can check for handwritten text and printed text.

BoundingBox

Description

The bounding box around the detected page, text, key-value pair, table, table cell, or selection element 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 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.

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

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Bytes

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

A blob of base64-encoded document 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 JPEG format.

If you're 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 that's 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 JPEG or PNG format. It can also be a file in PDF format.

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S3Object

Type: S3Object structure

The Amazon S3 bucket that contains the input document.

DocumentMetadata

Description

Information about the input document.

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Pages

Type: int

The number of pages that are detected in the document.

DocumentTooLargeException

Description

The document can't be processed because it's too large. The maximum document size for synchronous operations 10 MB. The maximum document size for asynchronous operations is 500 MB for PDF files.

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ExpenseDetection

Description

An object used to store information about the Value or Label detected by Amazon Textract.

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Confidence

Type: float

The confidence in detection, as a percentage

Geometry

Type: Geometry structure

Information about where the following items are located on a document page: detected page, text, key-value pairs, tables, table cells, and selection elements.

Text

Type: string

The word or line of text recognized by Amazon Textract

ExpenseDocument

Description

The structure holding all the information returned by AnalyzeExpense

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ExpenseIndex

Type: int

Denotes which invoice or receipt in the document the information is coming from. First document will be 1, the second 2, and so on.

LineItemGroups

Type: Array of LineItemGroup structures

Information detected on each table of a document, seperated into LineItems.

SummaryFields

Type: Array of ExpenseField structures

Any information found outside of a table by Amazon Textract.

ExpenseField

Description

Breakdown of detected information, seperated into the catagories Type, LableDetection, and ValueDetection

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LabelDetection

Type: ExpenseDetection structure

The explicitly stated label of a detected element.

PageNumber

Type: int

The page number the value was detected on.

Type

Type: ExpenseType structure

The implied label of a detected element. Present alongside LabelDetection for explicit elements.

ValueDetection

Type: ExpenseDetection structure

The value of a detected element. Present in explicit and implicit elements.

ExpenseType

Description

An object used to store information about the Type detected by Amazon Textract.

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Confidence

Type: float

The confidence of accuracy, as a percentage.

Text

Type: string

The word or line of text detected by Amazon Textract.

Geometry

Description

Information about where the following items are located on a document page: detected page, text, key-value pairs, tables, table cells, and selection elements.

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BoundingBox

Type: BoundingBox structure

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

Polygon

Type: Array of Point structures

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

HumanLoopActivationOutput

Description

Shows the results of the human in the loop evaluation. If there is no HumanLoopArn, the input did not trigger human review.

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HumanLoopActivationConditionsEvaluationResults

Type: string (string|number|array|map or anything parsable by json_encode)

Shows the result of condition evaluations, including those conditions which activated a human review.

HumanLoopActivationReasons

Type: Array of strings

Shows if and why human review was needed.

HumanLoopArn

Type: string

The Amazon Resource Name (ARN) of the HumanLoop created.

HumanLoopConfig

Description

Sets up the human review workflow the document will be sent to if one of the conditions is met. You can also set certain attributes of the image before review.

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DataAttributes

Type: HumanLoopDataAttributes structure

Sets attributes of the input data.

FlowDefinitionArn

Required: Yes
Type: string

The Amazon Resource Name (ARN) of the flow definition.

HumanLoopName

Required: Yes
Type: string

The name of the human workflow used for this image. This should be kept unique within a region.

HumanLoopDataAttributes

Description

Allows you to set attributes of the image. Currently, you can declare an image as free of personally identifiable information and adult content.

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ContentClassifiers

Type: Array of strings

Sets whether the input image is free of personally identifiable information or adult content.

HumanLoopQuotaExceededException

Description

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

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QuotaCode

Type: string

The quota code.

ResourceType

Type: string

The resource type.

ServiceCode

Type: string

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LineItemExpenseFields

Type: Array of ExpenseField structures

ExpenseFields used to show information from detected lines on a table.

LineItemGroup

Description

A grouping of tables which contain LineItems, with each table identified by the table's LineItemGroupIndex.

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LineItemGroupIndex

Type: int

The number used to identify a specific table in a document. The first table encountered will have a LineItemGroupIndex of 1, the second 2, etc.

LineItems

Type: Array of LineItemFields structures

The breakdown of information on a particular line of a table.

NotificationChannel

Description

The Amazon Simple Notification Service (Amazon SNS) topic to which Amazon Textract publishes the completion status of an asynchronous document operation, such as StartDocumentTextDetection.

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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.

OutputConfig

Description

Sets whether or not your output will go to a user created bucket. Used to set the name of the bucket, and the prefix on the output file.

OutputConfig is an optional parameter which lets you adjust where your output will be placed. By default, Amazon Textract will store the results internally and can only be accessed by the Get API operations. With OutputConfig enabled, you can set the name of the bucket the output will be sent to and the file prefix of the results where you can download your results. Additionally, you can set the KMSKeyID parameter to a customer master key (CMK) to encrypt your output. Without this parameter set Amazon Textract will encrypt server-side using the AWS managed CMK for Amazon S3.

Decryption of Customer Content is necessary for processing of the documents by Amazon Textract. If your account is opted out under an AI services opt out policy then all unencrypted Customer Content is immediately and permanently deleted after the Customer Content has been processed by the service. No copy of of the output is retained by Amazon Textract. For information about how to opt out, see Managing AI services opt-out policy.

For more information on data privacy, see the Data Privacy FAQ.

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S3Bucket

Required: Yes
Type: string

The name of the bucket your output will go to.

S3Prefix

Type: string

The prefix of the object key that the output will be saved to. When not enabled, the prefix will be “textract_output".

Point

Description

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.

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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.

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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.

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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. 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 in the case of lines Cell blocks in the case of Tables, and WORD blocks in the case of Selection Elements.

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.

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Bucket

Type: string

The name of the S3 bucket. Note that the # character is not valid in the file name.

Name

Type: string

The file name of the input document. Synchronous operations can use image files that are in JPEG or PNG format. Asynchronous operations also support PDF and TIFF format files.

Version

Type: string

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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

AnalyzeExpense

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

GetExpenseAnalysis

Parameter Syntax

Parameter Details

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Result Syntax

Result Details

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Errors

StartDocumentAnalysis

Parameter Syntax

Parameter Details

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Result Syntax

Result Details

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Errors

StartDocumentTextDetection

Parameter Syntax

Parameter Details

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Result Syntax

Result Details

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Errors

StartExpenseAnalysis

Parameter Syntax

Parameter Details

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Result Syntax

Result Details

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