/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ package com.amazonaws.services.textract; import javax.annotation.Generated; import com.amazonaws.services.textract.model.*; /** * Interface for accessing Amazon Textract asynchronously. Each asynchronous method will return a Java Future object * representing the asynchronous operation; overloads which accept an {@code AsyncHandler} can be used to receive * notification when an asynchronous operation completes. *
* Note: Do not directly implement this interface, new methods are added to it regularly. Extend from * {@link com.amazonaws.services.textract.AbstractAmazonTextractAsync} instead. *
**
* Amazon Textract detects and analyzes text in documents and converts it into machine-readable text. This is the API * reference documentation for Amazon Textract. *
*/ @Generated("com.amazonaws:aws-java-sdk-code-generator") public interface AmazonTextractAsync extends AmazonTextract { /** ** Analyzes an input document for relationships between detected items. *
** The types of information returned are as follows: *
*
* Form data (key-value pairs). The related information is returned in two Block objects, each of type
* KEY_VALUE_SET
: a KEY Block
object and a VALUE Block
object. For example,
* Name: Ana Silva Carolina contains a key and value. Name: is the key. Ana Silva Carolina is
* the value.
*
* Table and table cell data. A TABLE Block
object contains information about a detected table. A CELL
* Block
object is returned for each cell in a table.
*
* Lines and words of text. A LINE Block
object contains one or more WORD Block
objects.
* All lines and words that are detected in the document are returned (including text that doesn't have a
* relationship with the value of FeatureTypes
).
*
* Signatures. A SIGNATURE Block
object contains the location information of a signature in a document.
* If used in conjunction with forms or tables, a signature can be given a Key-Value pairing or be detected in the
* cell of a table.
*
* Query. A QUERY Block object contains the query text, alias and link to the associated Query results block object. *
** Query Result. A QUERY_RESULT Block object contains the answer to the query and an ID that connects it to the * query asked. This Block also contains a confidence score. *
*
* Selection elements such as check boxes and option buttons (radio buttons) can be detected in form data and in
* tables. A SELECTION_ELEMENT Block
object contains information about a selection element, including
* the selection status.
*
* You can choose which type of analysis to perform by specifying the FeatureTypes
list.
*
* The output is returned in a list of Block
objects.
*
* AnalyzeDocument
is a synchronous operation. To analyze documents asynchronously, use
* StartDocumentAnalysis.
*
* For more information, see Document Text Analysis. *
* * @param analyzeDocumentRequest * @return A Java Future containing the result of the AnalyzeDocument operation returned by the service. * @sample AmazonTextractAsync.AnalyzeDocument * @see AWS API * Documentation */ java.util.concurrent.Future* Analyzes an input document for relationships between detected items. *
** The types of information returned are as follows: *
*
* Form data (key-value pairs). The related information is returned in two Block objects, each of type
* KEY_VALUE_SET
: a KEY Block
object and a VALUE Block
object. For example,
* Name: Ana Silva Carolina contains a key and value. Name: is the key. Ana Silva Carolina is
* the value.
*
* Table and table cell data. A TABLE Block
object contains information about a detected table. A CELL
* Block
object is returned for each cell in a table.
*
* Lines and words of text. A LINE Block
object contains one or more WORD Block
objects.
* All lines and words that are detected in the document are returned (including text that doesn't have a
* relationship with the value of FeatureTypes
).
*
* Signatures. A SIGNATURE Block
object contains the location information of a signature in a document.
* If used in conjunction with forms or tables, a signature can be given a Key-Value pairing or be detected in the
* cell of a table.
*
* Query. A QUERY Block object contains the query text, alias and link to the associated Query results block object. *
** Query Result. A QUERY_RESULT Block object contains the answer to the query and an ID that connects it to the * query asked. This Block also contains a confidence score. *
*
* Selection elements such as check boxes and option buttons (radio buttons) can be detected in form data and in
* tables. A SELECTION_ELEMENT Block
object contains information about a selection element, including
* the selection status.
*
* You can choose which type of analysis to perform by specifying the FeatureTypes
list.
*
* The output is returned in a list of Block
objects.
*
* AnalyzeDocument
is a synchronous operation. To analyze documents asynchronously, use
* StartDocumentAnalysis.
*
* For more information, see Document Text Analysis. *
* * @param analyzeDocumentRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the AnalyzeDocument operation returned by the service. * @sample AmazonTextractAsyncHandler.AnalyzeDocument * @see AWS API * Documentation */ java.util.concurrent.Future
* AnalyzeExpense
synchronously 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.
*
* AnalyzeExpense
synchronously 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.
*
* Analyzes identity documents for relevant information. This information is extracted and returned as
* IdentityDocumentFields
, which records both the normalized field and value of the extracted text.
* Unlike other Amazon Textract operations, AnalyzeID
doesn't return any Geometry data.
*
* Analyzes identity documents for relevant information. This information is extracted and returned as
* IdentityDocumentFields
, which records both the normalized field and value of the extracted text.
* Unlike other Amazon Textract operations, AnalyzeID
doesn't return any Geometry data.
*
* 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 in one of the following image formats: JPEG, PNG, PDF, or TIFF.
* 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. *
* * @param detectDocumentTextRequest * @return A Java Future containing the result of the DetectDocumentText operation returned by the service. * @sample AmazonTextractAsync.DetectDocumentText * @see AWS * API Documentation */ java.util.concurrent.Future
* 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 in one of the following image formats: JPEG, PNG, PDF, or TIFF.
* 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. *
* * @param detectDocumentTextRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the DetectDocumentText operation returned by the service. * @sample AmazonTextractAsyncHandler.DetectDocumentText * @see AWS * API Documentation */ java.util.concurrent.Future* 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).
*
* Query. A QUERY Block object contains the query text, alias and link to the associated Query results block object. *
** Query Results. A QUERY_RESULT Block object contains the answer to the query and an ID that connects it to the * query asked. This Block also contains a confidence score. *
*
* While processing a document with queries, look out for INVALID_REQUEST_PARAMETERS
output. This
* indicates that either the per page query limit has been exceeded or that the operation is trying to query a page
* in the document which doesn’t exist.
*
* Selection elements such as check boxes and option buttons (radio buttons) can be detected in form data and in
* tables. A SELECTION_ELEMENT Block
object contains information about a selection element, including
* the selection status.
*
* Use the MaxResults
parameter to limit the number of blocks that are returned. If there are more
* results than specified in MaxResults
, the value of NextToken
in the operation response
* contains a pagination token for getting the next set of results. To get the next page of results, call
* GetDocumentAnalysis
, and populate the NextToken
request parameter with the token value
* that's returned from the previous call to GetDocumentAnalysis
.
*
* For more information, see Document Text Analysis. *
* * @param getDocumentAnalysisRequest * @return A Java Future containing the result of the GetDocumentAnalysis operation returned by the service. * @sample AmazonTextractAsync.GetDocumentAnalysis * @see AWS * API Documentation */ java.util.concurrent.Future* 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).
*
* Query. A QUERY Block object contains the query text, alias and link to the associated Query results block object. *
** Query Results. A QUERY_RESULT Block object contains the answer to the query and an ID that connects it to the * query asked. This Block also contains a confidence score. *
*
* While processing a document with queries, look out for INVALID_REQUEST_PARAMETERS
output. This
* indicates that either the per page query limit has been exceeded or that the operation is trying to query a page
* in the document which doesn’t exist.
*
* Selection elements such as check boxes and option buttons (radio buttons) can be detected in form data and in
* tables. A SELECTION_ELEMENT Block
object contains information about a selection element, including
* the selection status.
*
* Use the MaxResults
parameter to limit the number of blocks that are returned. If there are more
* results than specified in MaxResults
, the value of NextToken
in the operation response
* contains a pagination token for getting the next set of results. To get the next page of results, call
* GetDocumentAnalysis
, and populate the NextToken
request parameter with the token value
* that's returned from the previous call to GetDocumentAnalysis
.
*
* For more information, see Document Text Analysis. *
* * @param getDocumentAnalysisRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the GetDocumentAnalysis operation returned by the service. * @sample AmazonTextractAsyncHandler.GetDocumentAnalysis * @see AWS * API Documentation */ java.util.concurrent.Future* Gets the results for an Amazon Textract asynchronous operation that detects text in a document. Amazon Textract * can detect lines of text and the words that make up a line of text. *
*
* You start asynchronous text detection by calling StartDocumentTextDetection, which returns a job
* identifier (JobId
). When the text detection operation finishes, Amazon Textract publishes a
* completion status to the Amazon Simple Notification Service (Amazon SNS) topic that's registered in the initial
* call to StartDocumentTextDetection
. To get the results of the text-detection operation, first check
* that the status value published to the Amazon SNS topic is SUCCEEDED
. If so, call
* GetDocumentTextDetection
, and pass the job identifier (JobId
) from the initial call to
* StartDocumentTextDetection
.
*
* GetDocumentTextDetection
returns an array of Block objects.
*
* Each document page has as an associated Block
of type PAGE. Each PAGE Block
object is
* the parent of LINE Block
objects that represent the lines of detected text on a page. A LINE
* Block
object is a parent for each word that makes up the line. Words are represented by
* Block
objects of type WORD.
*
* Use the MaxResults parameter to limit the number of blocks that are returned. If there are more results than
* specified in MaxResults
, the value of NextToken
in the operation response contains a
* pagination token for getting the next set of results. To get the next page of results, call
* GetDocumentTextDetection
, and populate the NextToken
request parameter with the token
* value that's returned from the previous call to GetDocumentTextDetection
.
*
* For more information, see Document Text Detection. *
* * @param getDocumentTextDetectionRequest * @return A Java Future containing the result of the GetDocumentTextDetection operation returned by the service. * @sample AmazonTextractAsync.GetDocumentTextDetection * @see AWS API Documentation */ java.util.concurrent.Future* Gets the results for an Amazon Textract asynchronous operation that detects text in a document. Amazon Textract * can detect lines of text and the words that make up a line of text. *
*
* You start asynchronous text detection by calling StartDocumentTextDetection, which returns a job
* identifier (JobId
). When the text detection operation finishes, Amazon Textract publishes a
* completion status to the Amazon Simple Notification Service (Amazon SNS) topic that's registered in the initial
* call to StartDocumentTextDetection
. To get the results of the text-detection operation, first check
* that the status value published to the Amazon SNS topic is SUCCEEDED
. If so, call
* GetDocumentTextDetection
, and pass the job identifier (JobId
) from the initial call to
* StartDocumentTextDetection
.
*
* GetDocumentTextDetection
returns an array of Block objects.
*
* Each document page has as an associated Block
of type PAGE. Each PAGE Block
object is
* the parent of LINE Block
objects that represent the lines of detected text on a page. A LINE
* Block
object is a parent for each word that makes up the line. Words are represented by
* Block
objects of type WORD.
*
* Use the MaxResults parameter to limit the number of blocks that are returned. If there are more results than
* specified in MaxResults
, the value of NextToken
in the operation response contains a
* pagination token for getting the next set of results. To get the next page of results, call
* GetDocumentTextDetection
, and populate the NextToken
request parameter with the token
* value that's returned from the previous call to GetDocumentTextDetection
.
*
* For more information, see Document Text Detection. *
* * @param getDocumentTextDetectionRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the GetDocumentTextDetection operation returned by the service. * @sample AmazonTextractAsyncHandler.GetDocumentTextDetection * @see AWS API Documentation */ java.util.concurrent.Future* 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. *
* * @param getExpenseAnalysisRequest * @return A Java Future containing the result of the GetExpenseAnalysis operation returned by the service. * @sample AmazonTextractAsync.GetExpenseAnalysis * @see AWS * API Documentation */ java.util.concurrent.Future* 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. *
* * @param getExpenseAnalysisRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the GetExpenseAnalysis operation returned by the service. * @sample AmazonTextractAsyncHandler.GetExpenseAnalysis * @see AWS * API Documentation */ java.util.concurrent.Future* Gets the results for an Amazon Textract asynchronous operation that analyzes text in a lending document. *
*
* You start asynchronous text analysis by calling StartLendingAnalysis
, 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
* StartLendingAnalysis
.
*
* 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 GetLendingAnalysis, and pass the job identifier (JobId
) from the
* initial call to StartLendingAnalysis
.
*
* Gets the results for an Amazon Textract asynchronous operation that analyzes text in a lending document. *
*
* You start asynchronous text analysis by calling StartLendingAnalysis
, 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
* StartLendingAnalysis
.
*
* 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 GetLendingAnalysis, and pass the job identifier (JobId
) from the
* initial call to StartLendingAnalysis
.
*
* Gets summarized results for the StartLendingAnalysis
operation, which analyzes text in a lending
* document. The returned summary consists of information about documents grouped together by a common document
* type. Information like detected signatures, page numbers, and split documents is returned with respect to the
* type of grouped document.
*
* You start asynchronous text analysis by calling StartLendingAnalysis
, 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
* StartLendingAnalysis
.
*
* 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 GetLendingAnalysisSummary
, and pass the job identifier (
* JobId
) from the initial call to StartLendingAnalysis
.
*
* Gets summarized results for the StartLendingAnalysis
operation, which analyzes text in a lending
* document. The returned summary consists of information about documents grouped together by a common document
* type. Information like detected signatures, page numbers, and split documents is returned with respect to the
* type of grouped document.
*
* You start asynchronous text analysis by calling StartLendingAnalysis
, 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
* StartLendingAnalysis
.
*
* 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 GetLendingAnalysisSummary
, and pass the job identifier (
* JobId
) from the initial call to StartLendingAnalysis
.
*
* 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. *
* * @param startDocumentAnalysisRequest * @return A Java Future containing the result of the StartDocumentAnalysis operation returned by the service. * @sample AmazonTextractAsync.StartDocumentAnalysis * @see AWS * API Documentation */ java.util.concurrent.Future* 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. *
* * @param startDocumentAnalysisRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the StartDocumentAnalysis operation returned by the service. * @sample AmazonTextractAsyncHandler.StartDocumentAnalysis * @see AWS * API Documentation */ java.util.concurrent.Future* 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. *
* * @param startDocumentTextDetectionRequest * @return A Java Future containing the result of the StartDocumentTextDetection operation returned by the service. * @sample AmazonTextractAsync.StartDocumentTextDetection * @see AWS API Documentation */ java.util.concurrent.Future* 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. *
* * @param startDocumentTextDetectionRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the StartDocumentTextDetection operation returned by the service. * @sample AmazonTextractAsyncHandler.StartDocumentTextDetection * @see AWS API Documentation */ java.util.concurrent.Future* 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. *
* * @param startExpenseAnalysisRequest * @return A Java Future containing the result of the StartExpenseAnalysis operation returned by the service. * @sample AmazonTextractAsync.StartExpenseAnalysis * @see AWS * API Documentation */ java.util.concurrent.Future* 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. *
* * @param startExpenseAnalysisRequest * @param asyncHandler * Asynchronous callback handler for events in the lifecycle of the request. Users can provide an * implementation of the callback methods in this interface to receive notification of successful or * unsuccessful completion of the operation. * @return A Java Future containing the result of the StartExpenseAnalysis operation returned by the service. * @sample AmazonTextractAsyncHandler.StartExpenseAnalysis * @see AWS * API Documentation */ java.util.concurrent.Future
* Starts the classification and analysis of an input document. StartLendingAnalysis
initiates the
* classification and analysis of a packet of lending documents. StartLendingAnalysis
operates on a
* document file located in an Amazon S3 bucket.
*
* StartLendingAnalysis
can analyze text in documents that are in one of the following formats: JPEG,
* PNG, TIFF, PDF. Use DocumentLocation
to specify the bucket name and the file name of the document.
*
* StartLendingAnalysis
returns a job identifier (JobId
) that you use to get the results
* of the operation. When the 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 the status is SUCCEEDED you can call either GetLendingAnalysis
or
* GetLendingAnalysisSummary
and provide the JobId
to obtain the results of the analysis.
*
* If using OutputConfig
to specify an Amazon S3 bucket, the output will be contained within the
* specified prefix in a directory labeled with the job-id. In the directory there are 3 sub-directories:
*
* detailedResponse (contains the GetLendingAnalysis response) *
** summaryResponse (for the GetLendingAnalysisSummary response) *
** splitDocuments (documents split across logical boundaries) *
*
* Starts the classification and analysis of an input document. StartLendingAnalysis
initiates the
* classification and analysis of a packet of lending documents. StartLendingAnalysis
operates on a
* document file located in an Amazon S3 bucket.
*
* StartLendingAnalysis
can analyze text in documents that are in one of the following formats: JPEG,
* PNG, TIFF, PDF. Use DocumentLocation
to specify the bucket name and the file name of the document.
*
* StartLendingAnalysis
returns a job identifier (JobId
) that you use to get the results
* of the operation. When the 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 the status is SUCCEEDED you can call either GetLendingAnalysis
or
* GetLendingAnalysisSummary
and provide the JobId
to obtain the results of the analysis.
*
* If using OutputConfig
to specify an Amazon S3 bucket, the output will be contained within the
* specified prefix in a directory labeled with the job-id. In the directory there are 3 sub-directories:
*
* detailedResponse (contains the GetLendingAnalysis response) *
** summaryResponse (for the GetLendingAnalysisSummary response) *
** splitDocuments (documents split across logical boundaries) *
*