How Document Processing Works

Choose your path: a visual tour with diagrams and explanations, or a hands-on console tour exploring the AWS infrastructure.

Architecture Tours

Visual Architecture Tour

How documents flow through AWS services for extraction

10 min

  1. Document Upload to S3

    Your document is securely uploaded to AWS cloud storage

    Document Upload to S3 diagram
  2. Textract OCR Processing

    Amazon Textract reads text from the document like a human would

    Textract OCR Processing diagram
  3. Comprehend Entity Extraction

    Amazon Comprehend identifies key entities (names, addresses, dates)

    Comprehend Entity Extraction diagram
  4. Bedrock Intelligence

    AWS Bedrock AI interprets and validates the extracted data

    Bedrock Intelligence diagram
  5. Results Stored

    Extracted data is stored for review and export

    Results Stored diagram

Console Architecture Tour

Navigate AWS Console to understand document processing infrastructure

15 min Requires deployed stack

  1. S3 Buckets

    What to look for: Input and output buckets, folder structure, lifecycle policies

    View screenshot
    S3 Buckets console view
  2. Textract Results

    What to look for: Analysis results, confidence scores, detected fields

    View screenshot
    Textract Results console view
  3. Lambda Processing

    What to look for: Processing function, environment variables, memory settings

    View screenshot
    Lambda Processing console view
  4. Step Functions Workflow

    What to look for: Workflow visualization, execution history, error handling

    View screenshot
    Step Functions Workflow console view
  5. CloudWatch Logs

    What to look for: Processing logs, error messages, performance metrics

    View screenshot
    CloudWatch Logs console view

What's Next?

Test the Limits

Push the boundaries to understand edge cases and error handling.

Try challenges

Production Guidance

Learn what changes for real-world deployment.

View guidance