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I am looking for a Solution to generate webform from a PDF form

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I am thinking for using a textxtract to generate the JASON output of the PDF form . Then use Amzon Q Developer to generate a webform. Looking for a detailed architecture to with all the inetgrations points etc

1 Answer
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To generate a webform from a PDF form, you can build a solution using AWS services that extract data from PDFs and then transform that data into a web form. Here's a detailed architecture for your solution:

  1. Ingestion Phase:
  • Upload PDF forms to Amazon S3 bucket
  • Configure S3 event notifications to trigger processing when new PDFs are uploaded
  1. Processing Phase:
  • AWS Lambda function is triggered by the S3 event
  • Lambda calls Amazon Textract API to process the PDF form
  • Amazon Textract extracts text, forms (key-value pairs), tables, and selection elements from the PDF
  • Textract produces a JSON-formatted output containing all the extracted information including field names, values, and their relationships
  1. Post-Processing Phase:
  • Another Lambda function processes the Textract JSON output
  • Apply template matching techniques to correctly identify required fields, key names, and tables
  • Implement post-processing corrections for each data type to ensure clean output
  • Store the processed JSON in S3 or DynamoDB for persistence
  1. Web Form Generation Phase:
  • Use the processed JSON data to generate web form code
  • You could use Amazon Q Developer to help generate the HTML, CSS, and JavaScript code for the web form based on the processed JSON structure
  • Store the generated web form code in S3 or a code repository
  1. Deployment Phase:
  • Host the generated web form on Amazon S3 as a static website
  • Alternatively, deploy it to AWS Amplify or other web hosting service
  • Configure API Gateway and Lambda functions to handle form submissions

Integration points:

  • S3 to Lambda: Event notifications when PDFs are uploaded
  • Lambda to Textract: API calls to extract PDF content
  • Lambda to S3/DynamoDB: Store processed JSON data
  • Lambda to Amazon Q Developer: Generate web form code based on JSON structure
  • S3/Amplify to end users: Host the generated web form

For scaling and automation:

  • Use Amazon SQS as a message queue to handle high volumes of PDF processing requests
  • Configure dead-letter queues (DLQ) for error handling
  • Use Amazon SNS for notifications about processing status
  • Implement Amazon CloudWatch for monitoring and logging

This architecture allows you to automatically process PDF forms with identical formats at scale and generate corresponding web forms.
Sources
Designing an automated solution to analyze PDF files on the AWS Cloud - AWS Prescriptive Guidance
Intelligent healthcare forms analysis with Amazon Bedrock | AWS Machine Learning Blog
Automatically extract content from PDF files using Amazon Textract - AWS Prescriptive Guidance

answered a year ago

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