Detect entities in text extracted from an image using an AWS SDK - Amazon Simple Storage Service

Detect entities in text extracted from an image using an AWS SDK

The following code example shows how to use Amazon Comprehend to detect entities in text extracted by Amazon Textract from an image that is stored in Amazon S3.

Python
SDK for Python (Boto3)

Shows how to use the AWS SDK for Python (Boto3) in a Jupyter notebook to detect entities in text that is extracted from an image. This example uses Amazon Textract to extract text from an image stored in Amazon Simple Storage Service (Amazon S3) and Amazon Comprehend to detect entities in the extracted text.

This example is a Jupyter notebook and must be run in an environment that can host notebooks. For instructions on how to run the example using Amazon SageMaker AI, see the directions in TextractAndComprehendNotebook.ipynb.

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 Comprehend

  • Amazon S3

  • Amazon Textract

For a complete list of AWS SDK developer guides and code examples, see Developing with Amazon S3 using the AWS SDKs. This topic also includes information about getting started and details about previous SDK versions.