@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public interface AmazonTextractAsync extends AmazonTextract
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
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.
ENDPOINT_PREFIX| Modifier and Type | Method and Description |
|---|---|
Future<AnalyzeDocumentResult> |
analyzeDocumentAsync(AnalyzeDocumentRequest analyzeDocumentRequest)
Analyzes an input document for relationships between detected items.
|
Future<AnalyzeDocumentResult> |
analyzeDocumentAsync(AnalyzeDocumentRequest analyzeDocumentRequest,
AsyncHandler<AnalyzeDocumentRequest,AnalyzeDocumentResult> asyncHandler)
Analyzes an input document for relationships between detected items.
|
Future<AnalyzeExpenseResult> |
analyzeExpenseAsync(AnalyzeExpenseRequest analyzeExpenseRequest)
AnalyzeExpense synchronously analyzes an input document for financially related relationships
between text. |
Future<AnalyzeExpenseResult> |
analyzeExpenseAsync(AnalyzeExpenseRequest analyzeExpenseRequest,
AsyncHandler<AnalyzeExpenseRequest,AnalyzeExpenseResult> asyncHandler)
AnalyzeExpense synchronously analyzes an input document for financially related relationships
between text. |
Future<AnalyzeIDResult> |
analyzeIDAsync(AnalyzeIDRequest analyzeIDRequest)
Analyzes identity documents for relevant information.
|
Future<AnalyzeIDResult> |
analyzeIDAsync(AnalyzeIDRequest analyzeIDRequest,
AsyncHandler<AnalyzeIDRequest,AnalyzeIDResult> asyncHandler)
Analyzes identity documents for relevant information.
|
Future<DetectDocumentTextResult> |
detectDocumentTextAsync(DetectDocumentTextRequest detectDocumentTextRequest)
Detects text in the input document.
|
Future<DetectDocumentTextResult> |
detectDocumentTextAsync(DetectDocumentTextRequest detectDocumentTextRequest,
AsyncHandler<DetectDocumentTextRequest,DetectDocumentTextResult> asyncHandler)
Detects text in the input document.
|
Future<GetDocumentAnalysisResult> |
getDocumentAnalysisAsync(GetDocumentAnalysisRequest getDocumentAnalysisRequest)
Gets the results for an Amazon Textract asynchronous operation that analyzes text in a document.
|
Future<GetDocumentAnalysisResult> |
getDocumentAnalysisAsync(GetDocumentAnalysisRequest getDocumentAnalysisRequest,
AsyncHandler<GetDocumentAnalysisRequest,GetDocumentAnalysisResult> asyncHandler)
Gets the results for an Amazon Textract asynchronous operation that analyzes text in a document.
|
Future<GetDocumentTextDetectionResult> |
getDocumentTextDetectionAsync(GetDocumentTextDetectionRequest getDocumentTextDetectionRequest)
Gets the results for an Amazon Textract asynchronous operation that detects text in a document.
|
Future<GetDocumentTextDetectionResult> |
getDocumentTextDetectionAsync(GetDocumentTextDetectionRequest getDocumentTextDetectionRequest,
AsyncHandler<GetDocumentTextDetectionRequest,GetDocumentTextDetectionResult> asyncHandler)
Gets the results for an Amazon Textract asynchronous operation that detects text in a document.
|
Future<GetExpenseAnalysisResult> |
getExpenseAnalysisAsync(GetExpenseAnalysisRequest getExpenseAnalysisRequest)
Gets the results for an Amazon Textract asynchronous operation that analyzes invoices and receipts.
|
Future<GetExpenseAnalysisResult> |
getExpenseAnalysisAsync(GetExpenseAnalysisRequest getExpenseAnalysisRequest,
AsyncHandler<GetExpenseAnalysisRequest,GetExpenseAnalysisResult> asyncHandler)
Gets the results for an Amazon Textract asynchronous operation that analyzes invoices and receipts.
|
Future<StartDocumentAnalysisResult> |
startDocumentAnalysisAsync(StartDocumentAnalysisRequest startDocumentAnalysisRequest)
Starts the asynchronous analysis of an input document for relationships between detected items such as key-value
pairs, tables, and selection elements.
|
Future<StartDocumentAnalysisResult> |
startDocumentAnalysisAsync(StartDocumentAnalysisRequest startDocumentAnalysisRequest,
AsyncHandler<StartDocumentAnalysisRequest,StartDocumentAnalysisResult> asyncHandler)
Starts the asynchronous analysis of an input document for relationships between detected items such as key-value
pairs, tables, and selection elements.
|
Future<StartDocumentTextDetectionResult> |
startDocumentTextDetectionAsync(StartDocumentTextDetectionRequest startDocumentTextDetectionRequest)
Starts the asynchronous detection of text in a document.
|
Future<StartDocumentTextDetectionResult> |
startDocumentTextDetectionAsync(StartDocumentTextDetectionRequest startDocumentTextDetectionRequest,
AsyncHandler<StartDocumentTextDetectionRequest,StartDocumentTextDetectionResult> asyncHandler)
Starts the asynchronous detection of text in a document.
|
Future<StartExpenseAnalysisResult> |
startExpenseAnalysisAsync(StartExpenseAnalysisRequest startExpenseAnalysisRequest)
Starts the asynchronous analysis of invoices or receipts for data like contact information, items purchased, and
vendor names.
|
Future<StartExpenseAnalysisResult> |
startExpenseAnalysisAsync(StartExpenseAnalysisRequest startExpenseAnalysisRequest,
AsyncHandler<StartExpenseAnalysisRequest,StartExpenseAnalysisResult> asyncHandler)
Starts the asynchronous analysis of invoices or receipts for data like contact information, items purchased, and
vendor names.
|
analyzeDocument, analyzeExpense, analyzeID, detectDocumentText, getCachedResponseMetadata, getDocumentAnalysis, getDocumentTextDetection, getExpenseAnalysis, shutdown, startDocumentAnalysis, startDocumentTextDetection, startExpenseAnalysisFuture<AnalyzeDocumentResult> analyzeDocumentAsync(AnalyzeDocumentRequest analyzeDocumentRequest)
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).
Queries.A QUERIES_RESULT Block object contains the answer to the query, the alias associated and an ID that connect it to the query asked. This Block also contains a location and attached 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.
analyzeDocumentRequest - Future<AnalyzeDocumentResult> analyzeDocumentAsync(AnalyzeDocumentRequest analyzeDocumentRequest, AsyncHandler<AnalyzeDocumentRequest,AnalyzeDocumentResult> asyncHandler)
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).
Queries.A QUERIES_RESULT Block object contains the answer to the query, the alias associated and an ID that connect it to the query asked. This Block also contains a location and attached 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.
analyzeDocumentRequest - 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.Future<AnalyzeExpenseResult> analyzeExpenseAsync(AnalyzeExpenseRequest analyzeExpenseRequest)
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.
analyzeExpenseRequest - Future<AnalyzeExpenseResult> analyzeExpenseAsync(AnalyzeExpenseRequest analyzeExpenseRequest, AsyncHandler<AnalyzeExpenseRequest,AnalyzeExpenseResult> asyncHandler)
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.
analyzeExpenseRequest - 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.Future<AnalyzeIDResult> analyzeIDAsync(AnalyzeIDRequest analyzeIDRequest)
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.
analyzeIDRequest - Future<AnalyzeIDResult> analyzeIDAsync(AnalyzeIDRequest analyzeIDRequest, AsyncHandler<AnalyzeIDRequest,AnalyzeIDResult> asyncHandler)
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.
analyzeIDRequest - 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.Future<DetectDocumentTextResult> detectDocumentTextAsync(DetectDocumentTextRequest detectDocumentTextRequest)
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, PNG, PDF, or TIFF 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.
detectDocumentTextRequest - Future<DetectDocumentTextResult> detectDocumentTextAsync(DetectDocumentTextRequest detectDocumentTextRequest, AsyncHandler<DetectDocumentTextRequest,DetectDocumentTextResult> asyncHandler)
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, PNG, PDF, or TIFF 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.
detectDocumentTextRequest - 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.Future<GetDocumentAnalysisResult> getDocumentAnalysisAsync(GetDocumentAnalysisRequest getDocumentAnalysisRequest)
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).
Queries. A QUERIES_RESULT Block object contains the answer to the query, the alias associated and an ID that connect it to the query asked. This Block also contains a location and attached 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.
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.
getDocumentAnalysisRequest - Future<GetDocumentAnalysisResult> getDocumentAnalysisAsync(GetDocumentAnalysisRequest getDocumentAnalysisRequest, AsyncHandler<GetDocumentAnalysisRequest,GetDocumentAnalysisResult> asyncHandler)
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).
Queries. A QUERIES_RESULT Block object contains the answer to the query, the alias associated and an ID that connect it to the query asked. This Block also contains a location and attached 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.
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.
getDocumentAnalysisRequest - 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.Future<GetDocumentTextDetectionResult> getDocumentTextDetectionAsync(GetDocumentTextDetectionRequest getDocumentTextDetectionRequest)
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.
getDocumentTextDetectionRequest - Future<GetDocumentTextDetectionResult> getDocumentTextDetectionAsync(GetDocumentTextDetectionRequest getDocumentTextDetectionRequest, AsyncHandler<GetDocumentTextDetectionRequest,GetDocumentTextDetectionResult> asyncHandler)
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.
getDocumentTextDetectionRequest - 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.Future<GetExpenseAnalysisResult> getExpenseAnalysisAsync(GetExpenseAnalysisRequest getExpenseAnalysisRequest)
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.
getExpenseAnalysisRequest - Future<GetExpenseAnalysisResult> getExpenseAnalysisAsync(GetExpenseAnalysisRequest getExpenseAnalysisRequest, AsyncHandler<GetExpenseAnalysisRequest,GetExpenseAnalysisResult> asyncHandler)
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.
getExpenseAnalysisRequest - 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.Future<StartDocumentAnalysisResult> startDocumentAnalysisAsync(StartDocumentAnalysisRequest startDocumentAnalysisRequest)
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.
startDocumentAnalysisRequest - Future<StartDocumentAnalysisResult> startDocumentAnalysisAsync(StartDocumentAnalysisRequest startDocumentAnalysisRequest, AsyncHandler<StartDocumentAnalysisRequest,StartDocumentAnalysisResult> asyncHandler)
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.
startDocumentAnalysisRequest - 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.Future<StartDocumentTextDetectionResult> startDocumentTextDetectionAsync(StartDocumentTextDetectionRequest startDocumentTextDetectionRequest)
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.
startDocumentTextDetectionRequest - Future<StartDocumentTextDetectionResult> startDocumentTextDetectionAsync(StartDocumentTextDetectionRequest startDocumentTextDetectionRequest, AsyncHandler<StartDocumentTextDetectionRequest,StartDocumentTextDetectionResult> asyncHandler)
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.
startDocumentTextDetectionRequest - 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.Future<StartExpenseAnalysisResult> startExpenseAnalysisAsync(StartExpenseAnalysisRequest startExpenseAnalysisRequest)
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.
startExpenseAnalysisRequest - Future<StartExpenseAnalysisResult> startExpenseAnalysisAsync(StartExpenseAnalysisRequest startExpenseAnalysisRequest, AsyncHandler<StartExpenseAnalysisRequest,StartExpenseAnalysisResult> asyncHandler)
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.
startExpenseAnalysisRequest - 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.