Amazon Cognito Identity examples using SDK for Python (Boto3) - AWS SDK Code Examples
Scenarios

There are more AWS SDK examples available in the AWS Doc SDK Examples GitHub repo.

Amazon Cognito Identity examples using SDK for Python (Boto3)

The following code examples show you how to perform actions and implement common scenarios by using the AWS SDK for Python (Boto3) with Amazon Cognito Identity.

Scenarios are code examples that show you how to accomplish specific tasks by calling multiple functions within a service or combined with other AWS services.

Each example includes a link to the complete source code, where you can find instructions on how to set up and run the code in context.

Topics

Scenarios

The following code example shows how to explore Amazon Textract output through an interactive application.

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.

Services used in this example

  • Amazon Cognito Identity

  • Amazon S3

  • Amazon SNS

  • Amazon SQS

  • Amazon Textract