amazonka-textract-2.0: Amazon Textract SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.Textract.StartExpenseAnalysis

Description

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.

Synopsis

Creating a Request

data StartExpenseAnalysis Source #

See: newStartExpenseAnalysis smart constructor.

Constructors

StartExpenseAnalysis' 

Fields

  • clientRequestToken :: Maybe Text

    The idempotent token that's used to identify the start request. If you use the same token with multiple StartDocumentTextDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations

  • jobTag :: Maybe Text

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

  • kmsKeyId :: Maybe Text

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

  • notificationChannel :: Maybe NotificationChannel

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

  • outputConfig :: Maybe OutputConfig

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

  • documentLocation :: DocumentLocation

    The location of the document to be processed.

Instances

Instances details
ToJSON StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

ToHeaders StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

ToPath StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

ToQuery StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

AWSRequest StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

Associated Types

type AWSResponse StartExpenseAnalysis #

Generic StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

Associated Types

type Rep StartExpenseAnalysis :: Type -> Type #

Read StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

Show StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

NFData StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

Methods

rnf :: StartExpenseAnalysis -> () #

Eq StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

Hashable StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

type AWSResponse StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

type Rep StartExpenseAnalysis Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

type Rep StartExpenseAnalysis = D1 ('MetaData "StartExpenseAnalysis" "Amazonka.Textract.StartExpenseAnalysis" "amazonka-textract-2.0-6i5mJlqzS4xCepXxXFK6UK" 'False) (C1 ('MetaCons "StartExpenseAnalysis'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel)) :*: (S1 ('MetaSel ('Just "outputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OutputConfig)) :*: S1 ('MetaSel ('Just "documentLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DocumentLocation)))))

newStartExpenseAnalysis Source #

Create a value of StartExpenseAnalysis with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientRequestToken:StartExpenseAnalysis', startExpenseAnalysis_clientRequestToken - The idempotent token that's used to identify the start request. If you use the same token with multiple StartDocumentTextDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations

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

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

$sel:notificationChannel:StartExpenseAnalysis', startExpenseAnalysis_notificationChannel - The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.

$sel:outputConfig:StartExpenseAnalysis', startExpenseAnalysis_outputConfig - Sets if the output will go to a customer defined bucket. By default, Amazon Textract will save the results internally to be accessed by the GetExpenseAnalysis operation.

$sel:documentLocation:StartExpenseAnalysis', startExpenseAnalysis_documentLocation - The location of the document to be processed.

Request Lenses

startExpenseAnalysis_clientRequestToken :: Lens' StartExpenseAnalysis (Maybe Text) Source #

The idempotent token that's used to identify the start request. If you use the same token with multiple StartDocumentTextDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations

startExpenseAnalysis_jobTag :: Lens' StartExpenseAnalysis (Maybe Text) Source #

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

startExpenseAnalysis_kmsKeyId :: Lens' StartExpenseAnalysis (Maybe Text) Source #

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

startExpenseAnalysis_notificationChannel :: Lens' StartExpenseAnalysis (Maybe NotificationChannel) Source #

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

startExpenseAnalysis_outputConfig :: Lens' StartExpenseAnalysis (Maybe OutputConfig) Source #

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

Destructuring the Response

data StartExpenseAnalysisResponse Source #

See: newStartExpenseAnalysisResponse smart constructor.

Constructors

StartExpenseAnalysisResponse' 

Fields

  • jobId :: Maybe Text

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

  • httpStatus :: Int

    The response's http status code.

Instances

Instances details
Generic StartExpenseAnalysisResponse Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

Associated Types

type Rep StartExpenseAnalysisResponse :: Type -> Type #

Read StartExpenseAnalysisResponse Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

Show StartExpenseAnalysisResponse Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

NFData StartExpenseAnalysisResponse Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

Eq StartExpenseAnalysisResponse Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

type Rep StartExpenseAnalysisResponse Source # 
Instance details

Defined in Amazonka.Textract.StartExpenseAnalysis

type Rep StartExpenseAnalysisResponse = D1 ('MetaData "StartExpenseAnalysisResponse" "Amazonka.Textract.StartExpenseAnalysis" "amazonka-textract-2.0-6i5mJlqzS4xCepXxXFK6UK" 'False) (C1 ('MetaCons "StartExpenseAnalysisResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartExpenseAnalysisResponse Source #

Create a value of StartExpenseAnalysisResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobId:StartExpenseAnalysisResponse', startExpenseAnalysisResponse_jobId - A unique identifier for the text detection job. The JobId is returned from StartExpenseAnalysis. A JobId value is only valid for 7 days.

$sel:httpStatus:StartExpenseAnalysisResponse', startExpenseAnalysisResponse_httpStatus - The response's http status code.

Response Lenses

startExpenseAnalysisResponse_jobId :: Lens' StartExpenseAnalysisResponse (Maybe Text) Source #

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