Class: Aws::Textract::Client
- Inherits:
-
Seahorse::Client::Base
- Object
- Seahorse::Client::Base
- Aws::Textract::Client
- Includes:
- ClientStubs
- Defined in:
- lib/aws-sdk-textract/client.rb
Overview
An API client for Textract. To construct a client, you need to configure a ‘:region` and `:credentials`.
client = Aws::Textract::Client.new(
region: region_name,
credentials: credentials,
# ...
)
For details on configuring region and credentials see the [developer guide](/sdk-for-ruby/v3/developer-guide/setup-config.html).
See #initialize for a full list of supported configuration options.
Class Attribute Summary collapse
- .identifier ⇒ Object readonly private
API Operations collapse
-
#analyze_document(params = {}) ⇒ Types::AnalyzeDocumentResponse
Analyzes an input document for relationships between detected items.
-
#analyze_expense(params = {}) ⇒ Types::AnalyzeExpenseResponse
Analyzes an input document for financially related relationships between text.
-
#detect_document_text(params = {}) ⇒ Types::DetectDocumentTextResponse
Detects text in the input document.
-
#get_document_analysis(params = {}) ⇒ Types::GetDocumentAnalysisResponse
Gets the results for an Amazon Textract asynchronous operation that analyzes text in a document.
-
#get_document_text_detection(params = {}) ⇒ Types::GetDocumentTextDetectionResponse
Gets the results for an Amazon Textract asynchronous operation that detects text in a document.
-
#get_expense_analysis(params = {}) ⇒ Types::GetExpenseAnalysisResponse
Gets the results for an Amazon Textract asynchronous operation that analyzes invoices and receipts.
-
#start_document_analysis(params = {}) ⇒ Types::StartDocumentAnalysisResponse
Starts the asynchronous analysis of an input document for relationships between detected items such as key-value pairs, tables, and selection elements.
-
#start_document_text_detection(params = {}) ⇒ Types::StartDocumentTextDetectionResponse
Starts the asynchronous detection of text in a document.
-
#start_expense_analysis(params = {}) ⇒ Types::StartExpenseAnalysisResponse
Starts the asynchronous analysis of invoices or receipts for data like contact information, items purchased, and vendor names.
Class Method Summary collapse
- .errors_module ⇒ Object private
Instance Method Summary collapse
- #build_request(operation_name, params = {}) ⇒ Object private
-
#initialize(options) ⇒ Client
constructor
A new instance of Client.
- #waiter_names ⇒ Object deprecated private Deprecated.
Constructor Details
#initialize(options) ⇒ Client
Returns a new instance of Client.
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# File 'lib/aws-sdk-textract/client.rb', line 334 def initialize(*args) super end |
Class Attribute Details
.identifier ⇒ Object (readonly)
This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.
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# File 'lib/aws-sdk-textract/client.rb', line 1399 def identifier @identifier end |
Class Method Details
.errors_module ⇒ Object
This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.
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# File 'lib/aws-sdk-textract/client.rb', line 1402 def errors_module Errors end |
Instance Method Details
#analyze_document(params = {}) ⇒ Types::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 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].
[1]: docs.aws.amazon.com/textract/latest/dg/how-it-works-analyzing.html
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# File 'lib/aws-sdk-textract/client.rb', line 465 def analyze_document(params = {}, = {}) req = build_request(:analyze_document, params) req.send_request() end |
#analyze_expense(params = {}) ⇒ Types::AnalyzeExpenseResponse
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.
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# File 'lib/aws-sdk-textract/client.rb', line 583 def analyze_expense(params = {}, = {}) req = build_request(:analyze_expense, params) req.send_request() end |
#build_request(operation_name, params = {}) ⇒ Object
This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.
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# File 'lib/aws-sdk-textract/client.rb', line 1377 def build_request(operation_name, params = {}) handlers = @handlers.for(operation_name) context = Seahorse::Client::RequestContext.new( operation_name: operation_name, operation: config.api.operation(operation_name), client: self, params: params, config: config) context[:gem_name] = 'aws-sdk-textract' context[:gem_version] = '1.30.0' Seahorse::Client::Request.new(handlers, context) end |
#detect_document_text(params = {}) ⇒ Types::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 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].
[1]: docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html
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# File 'lib/aws-sdk-textract/client.rb', line 670 def detect_document_text(params = {}, = {}) req = build_request(:detect_document_text, params) req.send_request() end |
#get_document_analysis(params = {}) ⇒ Types::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 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).
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].
[1]: docs.aws.amazon.com/textract/latest/dg/how-it-works-analyzing.html
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# File 'lib/aws-sdk-textract/client.rb', line 802 def get_document_analysis(params = {}, = {}) req = build_request(:get_document_analysis, params) req.send_request() end |
#get_document_text_detection(params = {}) ⇒ Types::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.
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].
[1]: docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html
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# File 'lib/aws-sdk-textract/client.rb', line 920 def get_document_text_detection(params = {}, = {}) req = build_request(:get_document_text_detection, params) req.send_request() end |
#get_expense_analysis(params = {}) ⇒ Types::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].
[1]: docs.aws.amazon.com/textract/latest/dg/invoices-receipts.html
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# File 'lib/aws-sdk-textract/client.rb', line 1054 def get_expense_analysis(params = {}, = {}) req = build_request(:get_expense_analysis, params) req.send_request() end |
#start_document_analysis(params = {}) ⇒ Types::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].
[1]: docs.aws.amazon.com/textract/latest/dg/how-it-works-analyzing.html
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# File 'lib/aws-sdk-textract/client.rb', line 1164 def start_document_analysis(params = {}, = {}) req = build_request(:start_document_analysis, params) req.send_request() end |
#start_document_text_detection(params = {}) ⇒ Types::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].
[1]: docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html
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# File 'lib/aws-sdk-textract/client.rb', line 1266 def start_document_text_detection(params = {}, = {}) req = build_request(:start_document_text_detection, params) req.send_request() end |
#start_expense_analysis(params = {}) ⇒ Types::StartExpenseAnalysisResponse
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].
[1]: docs.aws.amazon.com/textract/latest/dg/invoice-receipts.html
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# File 'lib/aws-sdk-textract/client.rb', line 1368 def start_expense_analysis(params = {}, = {}) req = build_request(:start_expense_analysis, params) req.send_request() end |
#waiter_names ⇒ Object
This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.
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# File 'lib/aws-sdk-textract/client.rb', line 1392 def waiter_names [] end |