http://textract.{region}.amazonaws.com/#X-Amz-Target=Textract.StartDocumentTextDetection<p>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.</p> <p> <code>StartDocumentTextDetection</code> can analyze text in documents that are in JPEG, PNG, TIFF, and PDF format. The documents are stored in an Amazon S3 bucket. Use <a>DocumentLocation</a> to specify the bucket name and file name of the document. </p> <p> <code>StartTextDetection</code> returns a job identifier (<code>JobId</code>) 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 <code>NotificationChannel</code>. To get the results of the text detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetDocumentTextDetection</a>, and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartDocumentTextDetection</code>.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html">Document Text Detection</a>.</p>
{
"success": true,
"data": {
"id": "abc123",
"created_at": "2025-01-01T00:00:00Z"
}
}{
"success": false,
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid request parameters"
}
}1curl --request POST \2 --url 'http://textract.{region}.amazonaws.com/#X-Amz-Target=Textract.StartDocumentTextDetection' \3 --header 'accept: application/json' \4 --header 'content-type: application/json'1{2 "success": true,3 "data": {4 "id": "abc123",5 "created_at": "2025-01-01T00:00:00Z"6 }7}http://textract.{region}.amazonaws.com/#X-Amz-Target=Textract.StartDocumentTextDetection<p>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.</p> <p> <code>StartDocumentTextDetection</code> can analyze text in documents that are in JPEG, PNG, TIFF, and PDF format. The documents are stored in an Amazon S3 bucket. Use <a>DocumentLocation</a> to specify the bucket name and file name of the document. </p> <p> <code>StartTextDetection</code> returns a job identifier (<code>JobId</code>) 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 <code>NotificationChannel</code>. To get the results of the text detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetDocumentTextDetection</a>, and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartDocumentTextDetection</code>.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html">Document Text Detection</a>.</p>
{
"success": true,
"data": {
"id": "abc123",
"created_at": "2025-01-01T00:00:00Z"
}
}{
"success": false,
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid request parameters"
}
}1curl --request POST \2 --url 'http://textract.{region}.amazonaws.com/#X-Amz-Target=Textract.StartDocumentTextDetection' \3 --header 'accept: application/json' \4 --header 'content-type: application/json'1{2 "success": true,3 "data": {4 "id": "abc123",5 "created_at": "2025-01-01T00:00:00Z"6 }7}