Start Document Text Detection
textract_start_document_text_detection | R Documentation |
Starts the asynchronous detection of text in a document¶
Description¶
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.
start_document_text_detection
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 get_document_text_detection
, and
pass the job identifier (JobId
) from the initial call to
start_document_text_detection
.
For more information, see Document Text Detection.
Usage¶
textract_start_document_text_detection(DocumentLocation,
ClientRequestToken, JobTag, NotificationChannel, OutputConfig, KMSKeyId)
Arguments¶
DocumentLocation
[required] The location of the document to be processed.
ClientRequestToken
The idempotent token that's used to identify the start request. If you use the same token with multiple
start_document_text_detection
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.JobTag
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).NotificationChannel
The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.
OutputConfig
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.
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.
Value¶
A list with the following syntax:
Request syntax¶
svc$start_document_text_detection(
DocumentLocation = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
),
ClientRequestToken = "string",
JobTag = "string",
NotificationChannel = list(
SNSTopicArn = "string",
RoleArn = "string"
),
OutputConfig = list(
S3Bucket = "string",
S3Prefix = "string"
),
KMSKeyId = "string"
)