AWS code-library documentation change
Summary
Added Python SDK example for Amazon Textract integration with S3/SNS/SQS
Security assessment
Added code example for document analysis workflow. While Cognito is mentioned, the example focuses on functionality rather than security features.
Diff
diff --git a/code-library/latest/ug/cognito-identity_example_cross_TextractExplorer_section.md index a8e190ae0..c8cc40ca5 100644 --- a/code-library/latest/ug/cognito-identity_example_cross_TextractExplorer_section.md +++ b/code-library/latest/ug/cognito-identity_example_cross_TextractExplorer_section.md @@ -35,0 +36,36 @@ For complete source code and instructions on how to set up and run, see the full +Python + + +**SDK for Python (Boto3)** + + +Shows how to use the AWS SDK for Python (Boto3) with Amazon Textract to detect text, form, and table elements in a document image. The input image and Amazon Textract output are shown in a Tkinter application that lets you explore the detected elements. + + * Submit a document image to Amazon Textract and explore the output of detected elements. + + * Submit images directly to Amazon Textract or through an Amazon Simple Storage Service (Amazon S3) bucket. + + * Use asynchronous APIs to start a job that publishes a notification to an Amazon Simple Notification Service (Amazon SNS) topic when the job completes. + + * Poll an Amazon Simple Queue Service (Amazon SQS) queue for a job completion message and display the results. + + + + +For complete source code and instructions on how to set up and run, see the full example on [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/cross_service/textract_explorer). + +###### Services used in this example + + * Amazon Cognito Identity + + * Amazon S3 + + * Amazon SNS + + * Amazon SQS + + * Amazon Textract + + + +