AWSTextractStartDocumentAnalysisRequest
Objective-C
@interface AWSTextractStartDocumentAnalysisRequest
Swift
class AWSTextractStartDocumentAnalysisRequest
-
Specifies the adapter to be used when analyzing a document.
Declaration
Objective-C
@property (nonatomic, strong) AWSTextractAdaptersConfig *_Nullable adaptersConfig;
Swift
var adaptersConfig: AWSTextractAdaptersConfig? { get set }
-
The idempotent token that you use to identify the start request. If you use the same token with multiple
StartDocumentAnalysis
requests, the sameJobId
is returned. UseClientRequestToken
to prevent the same job from being accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations.Declaration
Objective-C
@property (nonatomic, strong) NSString *_Nullable clientRequestToken;
Swift
var clientRequestToken: String? { get set }
-
The location of the document to be processed.
Declaration
Objective-C
@property (nonatomic, strong) AWSTextractDocumentLocation *_Nullable documentLocation;
Swift
var documentLocation: AWSTextractDocumentLocation? { get set }
-
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 ofFeatureTypes
).Declaration
Objective-C
@property (nonatomic, strong) NSArray<NSString *> *_Nullable featureTypes;
Swift
var featureTypes: [String]? { get set }
-
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).Declaration
Objective-C
@property (nonatomic, strong) NSString *_Nullable jobTag;
Swift
var jobTag: String? { get set }
-
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.
Declaration
Objective-C
@property (nonatomic, strong) NSString *_Nullable KMSKeyId;
Swift
var kmsKeyId: String? { get set }
-
The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.
Declaration
Objective-C
@property (nonatomic, strong) AWSTextractNotificationChannel *_Nullable notificationChannel;
Swift
var notificationChannel: AWSTextractNotificationChannel? { get set }
-
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.
Declaration
Objective-C
@property (nonatomic, strong) AWSTextractOutputConfig *_Nullable outputConfig;
Swift
var outputConfig: AWSTextractOutputConfig? { get set }
-
Declaration
Objective-C
@property (nonatomic, strong) AWSTextractQueriesConfig *_Nullable queriesConfig;
Swift
var queriesConfig: AWSTextractQueriesConfig? { get set }