package textract
import "github.com/aws/aws-sdk-go-v2/service/textract"
Package textract provides the API client, operations, and parameter types for Amazon Textract.
Amazon Textract detects and analyzes text in documents and converts it into machine-readable text. This is the API reference documentation for Amazon Textract.
Index ¶
- Constants
- func NewDefaultEndpointResolver() *internalendpoints.Resolver
- func WithAPIOptions(optFns ...func(*middleware.Stack) error) func(*Options)
- func WithEndpointResolver(v EndpointResolver) func(*Options)
- type AnalyzeDocumentInput
- type AnalyzeDocumentOutput
- type AnalyzeExpenseInput
- type AnalyzeExpenseOutput
- type Client
- func New(options Options, optFns ...func(*Options)) *Client
- func NewFromConfig(cfg aws.Config, optFns ...func(*Options)) *Client
- func (c *Client) AnalyzeDocument(ctx context.Context, params *AnalyzeDocumentInput, optFns ...func(*Options)) (*AnalyzeDocumentOutput, error)
- func (c *Client) AnalyzeExpense(ctx context.Context, params *AnalyzeExpenseInput, optFns ...func(*Options)) (*AnalyzeExpenseOutput, error)
- func (c *Client) DetectDocumentText(ctx context.Context, params *DetectDocumentTextInput, optFns ...func(*Options)) (*DetectDocumentTextOutput, error)
- func (c *Client) GetDocumentAnalysis(ctx context.Context, params *GetDocumentAnalysisInput, optFns ...func(*Options)) (*GetDocumentAnalysisOutput, error)
- func (c *Client) GetDocumentTextDetection(ctx context.Context, params *GetDocumentTextDetectionInput, optFns ...func(*Options)) (*GetDocumentTextDetectionOutput, error)
- func (c *Client) StartDocumentAnalysis(ctx context.Context, params *StartDocumentAnalysisInput, optFns ...func(*Options)) (*StartDocumentAnalysisOutput, error)
- func (c *Client) StartDocumentTextDetection(ctx context.Context, params *StartDocumentTextDetectionInput, optFns ...func(*Options)) (*StartDocumentTextDetectionOutput, error)
- type DetectDocumentTextInput
- type DetectDocumentTextOutput
- type EndpointResolver
- type EndpointResolverFunc
- type EndpointResolverOptions
- type GetDocumentAnalysisInput
- type GetDocumentAnalysisOutput
- type GetDocumentTextDetectionInput
- type GetDocumentTextDetectionOutput
- type HTTPClient
- type HTTPSignerV4
- type Options
- type ResolveEndpoint
- func (m *ResolveEndpoint) HandleSerialize(ctx context.Context, in middleware.SerializeInput, next middleware.SerializeHandler) ( out middleware.SerializeOutput, metadata middleware.Metadata, err error, )
- func (*ResolveEndpoint) ID() string
- type StartDocumentAnalysisInput
- type StartDocumentAnalysisOutput
- type StartDocumentTextDetectionInput
- type StartDocumentTextDetectionOutput
Constants ¶
const ServiceAPIVersion = "2018-06-27"
const ServiceID = "Textract"
Functions ¶
func NewDefaultEndpointResolver ¶
func NewDefaultEndpointResolver() *internalendpoints.Resolver
NewDefaultEndpointResolver constructs a new service endpoint resolver
func WithAPIOptions ¶
func WithAPIOptions(optFns ...func(*middleware.Stack) error) func(*Options)
WithAPIOptions returns a functional option for setting the Client's APIOptions option.
func WithEndpointResolver ¶
func WithEndpointResolver(v EndpointResolver) func(*Options)
WithEndpointResolver returns a functional option for setting the Client's EndpointResolver option.
Types ¶
type AnalyzeDocumentInput ¶
type AnalyzeDocumentInput struct { // The input document as base64-encoded bytes or an Amazon S3 object. If you use // the AWS CLI to call Amazon Textract operations, you can't pass image bytes. The // document must be an image in JPEG or PNG format. If you're using an AWS SDK to // call Amazon Textract, you might not need to base64-encode image bytes that are // passed using the Bytes field. // // This member is required. Document *types.Document // A list of the types of analysis to perform. Add TABLES to the list to return // information about the tables that are detected in the input document. Add FORMS // to return detected form data. To perform both types of analysis, add TABLES and // FORMS to FeatureTypes. All lines and words detected in the document are included // in the response (including text that isn't related to the value of // FeatureTypes). // // This member is required. FeatureTypes []types.FeatureType // Sets the configuration for the human in the loop workflow for analyzing // documents. HumanLoopConfig *types.HumanLoopConfig // contains filtered or unexported fields }
type AnalyzeDocumentOutput ¶
type AnalyzeDocumentOutput struct { // The version of the model used to analyze the document. AnalyzeDocumentModelVersion *string // The items that are detected and analyzed by AnalyzeDocument. Blocks []types.Block // Metadata about the analyzed document. An example is the number of pages. DocumentMetadata *types.DocumentMetadata // Shows the results of the human in the loop evaluation. HumanLoopActivationOutput *types.HumanLoopActivationOutput // Metadata pertaining to the operation's result. ResultMetadata middleware.Metadata // contains filtered or unexported fields }
type AnalyzeExpenseInput ¶
type AnalyzeExpenseInput struct { // The input document, either as bytes or as an S3 object. You pass image bytes to // an Amazon Textract API operation by using the Bytes property. For example, you // would use the Bytes property to pass a document loaded from a local file system. // Image bytes passed by using the Bytes property must be base64 encoded. Your code // might not need to encode document file bytes if you're using an AWS SDK to call // Amazon Textract API operations. You pass images stored in an S3 bucket to an // Amazon Textract API operation by using the S3Object property. Documents stored // in an S3 bucket don't need to be base64 encoded. The AWS Region for the S3 // bucket that contains the S3 object must match the AWS Region that you use for // Amazon Textract operations. If you use the AWS CLI to call Amazon Textract // operations, passing image bytes using the Bytes property isn't supported. You // must first upload the document to an Amazon S3 bucket, and then call the // operation using the S3Object property. For Amazon Textract to process an S3 // object, the user must have permission to access the S3 object. // // This member is required. Document *types.Document // contains filtered or unexported fields }
type AnalyzeExpenseOutput ¶
type AnalyzeExpenseOutput struct { // Information about the input document. DocumentMetadata *types.DocumentMetadata // The expenses detected by Amazon Textract. ExpenseDocuments []types.ExpenseDocument // Metadata pertaining to the operation's result. ResultMetadata middleware.Metadata // contains filtered or unexported fields }
type Client ¶
type Client struct {
// contains filtered or unexported fields
}
Client provides the API client to make operations call for Amazon Textract.
func New ¶
New returns an initialized Client based on the functional options. Provide additional functional options to further configure the behavior of the client, such as changing the client's endpoint or adding custom middleware behavior.
func NewFromConfig ¶
NewFromConfig returns a new client from the provided config.
func (*Client) AnalyzeDocument ¶
func (c *Client) AnalyzeDocument(ctx context.Context, params *AnalyzeDocumentInput, optFns ...func(*Options)) (*AnalyzeDocumentOutput, error)
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 (https://docs.aws.amazon.com/textract/latest/dg/how-it-works-analyzing.html).
func (*Client) AnalyzeExpense ¶
func (c *Client) AnalyzeExpense(ctx context.Context, params *AnalyzeExpenseInput, optFns ...func(*Options)) (*AnalyzeExpenseOutput, error)
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.
func (*Client) DetectDocumentText ¶
func (c *Client) DetectDocumentText(ctx context.Context, params *DetectDocumentTextInput, optFns ...func(*Options)) (*DetectDocumentTextOutput, error)
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 (https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html).
func (*Client) GetDocumentAnalysis ¶
func (c *Client) GetDocumentAnalysis(ctx context.Context, params *GetDocumentAnalysisInput, optFns ...func(*Options)) (*GetDocumentAnalysisOutput, error)
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 StartDocumentAnalysisFeatureTypes 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 (https://docs.aws.amazon.com/textract/latest/dg/how-it-works-analyzing.html).
func (*Client) GetDocumentTextDetection ¶
func (c *Client) GetDocumentTextDetection(ctx context.Context, params *GetDocumentTextDetectionInput, optFns ...func(*Options)) (*GetDocumentTextDetectionOutput, error)
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 (https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html).
func (*Client) StartDocumentAnalysis ¶
func (c *Client) StartDocumentAnalysis(ctx context.Context, params *StartDocumentAnalysisInput, optFns ...func(*Options)) (*StartDocumentAnalysisOutput, error)
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, 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 (https://docs.aws.amazon.com/textract/latest/dg/how-it-works-analyzing.html).
func (*Client) StartDocumentTextDetection ¶
func (c *Client) StartDocumentTextDetection(ctx context.Context, params *StartDocumentTextDetectionInput, optFns ...func(*Options)) (*StartDocumentTextDetectionOutput, error)
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, 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 (https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html).
type DetectDocumentTextInput ¶
type DetectDocumentTextInput struct { // The input document as base64-encoded bytes or an Amazon S3 object. If you use // the AWS CLI to call Amazon Textract operations, you can't pass image bytes. The // document must be an image in JPEG or PNG format. If you're using an AWS SDK to // call Amazon Textract, you might not need to base64-encode image bytes that are // passed using the Bytes field. // // This member is required. Document *types.Document // contains filtered or unexported fields }
type DetectDocumentTextOutput ¶
type DetectDocumentTextOutput struct { // An array of Block objects that contain the text that's detected in the document. Blocks []types.Block // DetectDocumentTextModelVersion *string // Metadata about the document. It contains the number of pages that are detected // in the document. DocumentMetadata *types.DocumentMetadata // Metadata pertaining to the operation's result. ResultMetadata middleware.Metadata // contains filtered or unexported fields }
type EndpointResolver ¶
type EndpointResolver interface { ResolveEndpoint(region string, options EndpointResolverOptions) (aws.Endpoint, error) }
EndpointResolver interface for resolving service endpoints.
func EndpointResolverFromURL ¶
func EndpointResolverFromURL(url string, optFns ...func(*aws.Endpoint)) EndpointResolver
EndpointResolverFromURL returns an EndpointResolver configured using the provided endpoint url. By default, the resolved endpoint resolver uses the client region as signing region, and the endpoint source is set to EndpointSourceCustom.You can provide functional options to configure endpoint values for the resolved endpoint.
type EndpointResolverFunc ¶
type EndpointResolverFunc func(region string, options EndpointResolverOptions) (aws.Endpoint, error)
EndpointResolverFunc is a helper utility that wraps a function so it satisfies the EndpointResolver interface. This is useful when you want to add additional endpoint resolving logic, or stub out specific endpoints with custom values.
func (EndpointResolverFunc) ResolveEndpoint ¶
func (fn EndpointResolverFunc) ResolveEndpoint(region string, options EndpointResolverOptions) (endpoint aws.Endpoint, err error)
type EndpointResolverOptions ¶
type EndpointResolverOptions = internalendpoints.Options
EndpointResolverOptions is the service endpoint resolver options
type GetDocumentAnalysisInput ¶
type GetDocumentAnalysisInput struct { // A unique identifier for the text-detection job. The JobId is returned from // StartDocumentAnalysis. A JobId value is only valid for 7 days. // // This member is required. JobId *string // The maximum number of results to return per paginated call. The largest value // that you can specify is 1,000. If you specify a value greater than 1,000, a // maximum of 1,000 results is returned. The default value is 1,000. MaxResults *int32 // If the previous response was incomplete (because there are more blocks to // retrieve), Amazon Textract returns a pagination token in the response. You can // use this pagination token to retrieve the next set of blocks. NextToken *string // contains filtered or unexported fields }
type GetDocumentAnalysisOutput ¶
type GetDocumentAnalysisOutput struct { // AnalyzeDocumentModelVersion *string // The results of the text-analysis operation. Blocks []types.Block // Information about a document that Amazon Textract processed. DocumentMetadata is // returned in every page of paginated responses from an Amazon Textract video // operation. DocumentMetadata *types.DocumentMetadata // The current status of the text detection job. JobStatus types.JobStatus // If the response is truncated, Amazon Textract returns this token. You can use // this token in the subsequent request to retrieve the next set of text detection // results. NextToken *string // Returns if the detection job could not be completed. Contains explanation for // what error occured. StatusMessage *string // A list of warnings that occurred during the document-analysis operation. Warnings []types.Warning // Metadata pertaining to the operation's result. ResultMetadata middleware.Metadata // contains filtered or unexported fields }
type GetDocumentTextDetectionInput ¶
type GetDocumentTextDetectionInput struct { // A unique identifier for the text detection job. The JobId is returned from // StartDocumentTextDetection. A JobId value is only valid for 7 days. // // This member is required. JobId *string // The maximum number of results to return per paginated call. The largest value // you can specify is 1,000. If you specify a value greater than 1,000, a maximum // of 1,000 results is returned. The default value is 1,000. MaxResults *int32 // If the previous response was incomplete (because there are more blocks to // retrieve), Amazon Textract returns a pagination token in the response. You can // use this pagination token to retrieve the next set of blocks. NextToken *string // contains filtered or unexported fields }
type GetDocumentTextDetectionOutput ¶
type GetDocumentTextDetectionOutput struct { // The results of the text-detection operation. Blocks []types.Block // DetectDocumentTextModelVersion *string // Information about a document that Amazon Textract processed. DocumentMetadata is // returned in every page of paginated responses from an Amazon Textract video // operation. DocumentMetadata *types.DocumentMetadata // The current status of the text detection job. JobStatus types.JobStatus // If the response is truncated, Amazon Textract returns this token. You can use // this token in the subsequent request to retrieve the next set of text-detection // results. NextToken *string // Returns if the detection job could not be completed. Contains explanation for // what error occured. StatusMessage *string // A list of warnings that occurred during the text-detection operation for the // document. Warnings []types.Warning // Metadata pertaining to the operation's result. ResultMetadata middleware.Metadata // contains filtered or unexported fields }
type HTTPClient ¶
type HTTPSignerV4 ¶
type HTTPSignerV4 interface { SignHTTP(ctx context.Context, credentials aws.Credentials, r *http.Request, payloadHash string, service string, region string, signingTime time.Time, optFns ...func(*v4.SignerOptions)) error }
type Options ¶
type Options struct { // Set of options to modify how an operation is invoked. These apply to all // operations invoked for this client. Use functional options on operation call to // modify this list for per operation behavior. APIOptions []func(*middleware.Stack) error // Configures the events that will be sent to the configured logger. ClientLogMode aws.ClientLogMode // The credentials object to use when signing requests. Credentials aws.CredentialsProvider // The endpoint options to be used when attempting to resolve an endpoint. EndpointOptions EndpointResolverOptions // The service endpoint resolver. EndpointResolver EndpointResolver // Signature Version 4 (SigV4) Signer HTTPSignerV4 HTTPSignerV4 // The logger writer interface to write logging messages to. Logger logging.Logger // The region to send requests to. (Required) Region string // Retryer guides how HTTP requests should be retried in case of recoverable // failures. When nil the API client will use a default retryer. Retryer aws.Retryer // The HTTP client to invoke API calls with. Defaults to client's default HTTP // implementation if nil. HTTPClient HTTPClient }
func (Options) Copy ¶
Copy creates a clone where the APIOptions list is deep copied.
type ResolveEndpoint ¶
type ResolveEndpoint struct { Resolver EndpointResolver Options EndpointResolverOptions }
func (*ResolveEndpoint) HandleSerialize ¶
func (m *ResolveEndpoint) HandleSerialize(ctx context.Context, in middleware.SerializeInput, next middleware.SerializeHandler) ( out middleware.SerializeOutput, metadata middleware.Metadata, err error, )
func (*ResolveEndpoint) ID ¶
func (*ResolveEndpoint) ID() string
type StartDocumentAnalysisInput ¶
type StartDocumentAnalysisInput struct { // The location of the document to be processed. // // This member is required. DocumentLocation *types.DocumentLocation // A list of the types of analysis to perform. Add TABLES to the list to return // information about the tables that are detected in the input document. Add FORMS // to return detected form data. To perform both types of analysis, add TABLES and // FORMS to FeatureTypes. All lines and words detected in the document are included // in the response (including text that isn't related to the value of // FeatureTypes). // // This member is required. FeatureTypes []types.FeatureType // The idempotent token that you use to identify the start request. If you use the // same token with multiple StartDocumentAnalysis 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 // (https://docs.aws.amazon.com/textract/latest/dg/api-async.html). ClientRequestToken *string // An identifier that 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). JobTag *string // 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. KMSKeyId *string // The Amazon SNS topic ARN that you want Amazon Textract to publish the completion // status of the operation to. NotificationChannel *types.NotificationChannel // 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 // GetDocumentAnalysis operation. OutputConfig *types.OutputConfig // contains filtered or unexported fields }
type StartDocumentAnalysisOutput ¶
type StartDocumentAnalysisOutput struct { // The identifier for the document text detection job. Use JobId to identify the // job in a subsequent call to GetDocumentAnalysis. A JobId value is only valid for // 7 days. JobId *string // Metadata pertaining to the operation's result. ResultMetadata middleware.Metadata // contains filtered or unexported fields }
type StartDocumentTextDetectionInput ¶
type StartDocumentTextDetectionInput struct { // The location of the document to be processed. // // This member is required. DocumentLocation *types.DocumentLocation // 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 // (https://docs.aws.amazon.com/textract/latest/dg/api-async.html). ClientRequestToken *string // An identifier that 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). JobTag *string // 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. KMSKeyId *string // The Amazon SNS topic ARN that you want Amazon Textract to publish the completion // status of the operation to. NotificationChannel *types.NotificationChannel // Sets if the output will go to a customer defined bucket. By default Amazon // Textract will save the results internally to be accessed with the // GetDocumentTextDetection operation. OutputConfig *types.OutputConfig // contains filtered or unexported fields }
type StartDocumentTextDetectionOutput ¶
type StartDocumentTextDetectionOutput struct { // The identifier of the text detection job for the document. Use JobId to identify // the job in a subsequent call to GetDocumentTextDetection. A JobId value is only // valid for 7 days. JobId *string // Metadata pertaining to the operation's result. ResultMetadata middleware.Metadata // contains filtered or unexported fields }
Source Files ¶
api_client.go api_op_AnalyzeDocument.go api_op_AnalyzeExpense.go api_op_DetectDocumentText.go api_op_GetDocumentAnalysis.go api_op_GetDocumentTextDetection.go api_op_StartDocumentAnalysis.go api_op_StartDocumentTextDetection.go deserializers.go doc.go endpoints.go go_module_metadata.go serializers.go validators.go
Directories ¶
Path | Synopsis |
---|---|
internal | |
types |
- Version
- v1.6.0
- Published
- Oct 11, 2021
- Platform
- darwin/amd64
- Imports
- 28 packages
- Last checked
- now –
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