An event-driven workflow to automatically detect and store text found within pdf files by leveraging Amazon Textract, AWS Lambda, and Amazon DynamoDB.
This sample project demonstrates how to deliver an event-driven architecture to detect text within pdf files, while storing the results in Amazon DynamoDB.
Upon an object creation in the S3 bucket, a Lambda function is invoked, which initiates Amazon Textracts's DetectDocumentText function. Textract returns the results to the Lambda function which stores this information in the DynamoDB table.
This pattern deploys 1 S3 bucket, 1 Lambda Function, and 1 DynamoDB Table.
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Clone repo
git clone https://github.com/aws-samples/serverless-patterns/cd https://github.com/aws-samples/serverless-patterns/main/textract-lambda-sam-python/template.yamlDeploy
sam deployTesting
See the GitHub repo for detailed testing instructions.
Cleanup
Delete the stack: sam delete
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