Textract
Service object for interacting with AWS Textract service.
public struct Textract: AWSService
Amazon Textract detects and analyzes text in documents and converts it into machine-readable text. This is the API reference documentation for Amazon Textract.
Inheritance
AWSService
Initializers
init(client:region:partition:endpoint:timeout:byteBufferAllocator:options:)
Initialize the Textract client
public init(
client: AWSClient,
region: SotoCore.Region? = nil,
partition: AWSPartition = .aws,
endpoint: String? = nil,
timeout: TimeAmount? = nil,
byteBufferAllocator: ByteBufferAllocator = ByteBufferAllocator(),
options: AWSServiceConfig.Options = []
)
Parameters
- client: AWSClient used to process requests
- region: Region of server you want to communicate with. This will override the partition parameter.
- partition: AWS partition where service resides, standard (.aws), china (.awscn), government (.awsusgov).
- endpoint: Custom endpoint URL to use instead of standard AWS servers
- timeout: Timeout value for HTTP requests
init(from:patch:)
Initializer required by AWSService.with(middlewares:timeout:byteBufferAllocator:options)
. You are not able to use this initializer directly as there are no public initializers for AWSServiceConfig.Patch
. Please use AWSService.with(middlewares:timeout:byteBufferAllocator:options)
instead.
public init(from: Textract, patch: AWSServiceConfig.Patch)
Properties
client
Client used for communication with AWS
public let client: AWSClient
config
Service configuration
public let config: AWSServiceConfig
Methods
analyzeDocument(_:logger:on:)
public func analyzeDocument(_ input: AnalyzeDocumentRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<AnalyzeDocumentResponse>
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 KEYBlock
object and a VALUEBlock
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 CELLBlock
object is returned for each cell in a table. -
Lines and words of text. A LINE
Block
object contains one or more WORDBlock
objects. All lines and words that are detected in the document are returned (including text that doesn't have a relationship with the value ofFeatureTypes
). -
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.
<p>Selection elements such as check boxes and option buttons (radio buttons) can be detected in form data and in tables.
A SELECTION_ELEMENT <code>Block</code> object contains information about a selection element,
including the selection status.</p>
<p>You can choose which type of analysis to perform by specifying the <code>FeatureTypes</code> list.
</p>
<p>The output is returned in a list of <code>Block</code> objects.</p>
<p>
<code>AnalyzeDocument</code> is a synchronous operation. To analyze documents
asynchronously, use <a>StartDocumentAnalysis</a>.</p>
<p>For more information, see <a href="https://docs.aws.amazon.com/textract/latest/dg/how-it-works-analyzing.html">Document Text Analysis</a>.</p>
analyzeExpense(_:logger:on:)
public func analyzeExpense(_ input: AnalyzeExpenseRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<AnalyzeExpenseResponse>
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 containingLineItems
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.
analyzeID(_:logger:on:)
public func analyzeID(_ input: AnalyzeIDRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<AnalyzeIDResponse>
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.
detectDocumentText(_:logger:on:)
public func detectDocumentText(_ input: DetectDocumentTextRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DetectDocumentTextResponse>
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.
<p>
<code>DetectDocumentText</code> is a synchronous operation. To analyze documents
asynchronously, use <a>StartDocumentTextDetection</a>.</p>
<p>For more information, see <a href="https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html">Document Text Detection</a>.</p>
getDocumentAnalysis(_:logger:on:)
public func getDocumentAnalysis(_ input: GetDocumentAnalysisRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetDocumentAnalysisResponse>
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 KEYBlock
object and a VALUEBlock
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 CELLBlock
object is returned for each cell in a table. -
Lines and words of text. A LINE
Block
object contains one or more WORDBlock
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 theStartDocumentAnalysis
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
<p>Selection elements such as check boxes and option buttons (radio buttons) can be detected in form data and in tables.
A SELECTION_ELEMENT <code>Block</code> object contains information about a selection element,
including the selection status.</p>
<p>Use the <code>MaxResults</code> parameter to limit the number of blocks that are
returned. If there are more results than specified in <code>MaxResults</code>, the value of
<code>NextToken</code> in the operation response contains a pagination token for getting
the next set of results. To get the next page of results, call
<code>GetDocumentAnalysis</code>, and populate the <code>NextToken</code> request
parameter with the token value that's returned from the previous call to
<code>GetDocumentAnalysis</code>.</p>
<p>For more information, see <a href="https://docs.aws.amazon.com/textract/latest/dg/how-it-works-analyzing.html">Document Text Analysis</a>.</p>
getDocumentTextDetection(_:logger:on:)
public func getDocumentTextDetection(_ input: GetDocumentTextDetectionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetDocumentTextDetectionResponse>
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.
<p>Use the MaxResults parameter to limit the number of blocks that are returned. If there
are more results than specified in <code>MaxResults</code>, the value of
<code>NextToken</code> in the operation response contains a pagination token for getting
the next set of results. To get the next page of results, call
<code>GetDocumentTextDetection</code>, and populate the <code>NextToken</code> request
parameter with the token value that's returned from the previous call to
<code>GetDocumentTextDetection</code>.</p>
<p>For more information, see <a href="https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html">Document Text Detection</a>.</p>
getExpenseAnalysis(_:logger:on:)
public func getExpenseAnalysis(_ input: GetExpenseAnalysisRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetExpenseAnalysisResponse>
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.
startDocumentAnalysis(_:logger:on:)
public func startDocumentAnalysis(_ input: StartDocumentAnalysisRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartDocumentAnalysisResponse>
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.
startDocumentTextDetection(_:logger:on:)
public func startDocumentTextDetection(_ input: StartDocumentTextDetectionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartDocumentTextDetectionResponse>
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.
startExpenseAnalysis(_:logger:on:)
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.
public func startExpenseAnalysis(_ input: StartExpenseAnalysisRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartExpenseAnalysisResponse>
Starts the asynchronous analysis of invoices or receipts for data like contact information, items purchased, and vendor names.
<p>
<code>StartExpenseAnalysis</code> can analyze text in documents that are in JPEG, PNG, and