Document Processing Experiments
5 guided experiments to understand how document processing AI
handles different inputs and scenarios.
Pre-loaded for immediate exploration
✓ Free - no AWS charges
About this sample data
What is this data?
Simulated planning application documents
What does it represent?
Typical UK council planning submissions
Important:
This is fictional data with no connection to any real council system
How was it generated?
Generated from public planning portal formats
What you'll learn: How document quality, format, and content affect
AI extraction accuracy and processing time.
Experiments completed:
0 of 5
Available experiments
5 min
What you'll learn:
Input quality directly affects AI extraction accuracy
Expected response
Clear difference in extraction accuracy - high quality yields better results
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5 min
What you'll learn:
Handwriting recognition is improving but not perfect
Expected response
Some handwriting recognized accurately, some missed or misinterpreted
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10 min
What you'll learn:
Longer documents take proportionally longer to process
Expected response
Processing time scales with document length
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5 min
What you'll learn:
Native PDF extracts better than image formats
Expected response
PDF yields best extraction, images may lose quality
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5 min
What you'll learn:
AI can detect missing required fields
Expected response
AI identifies which fields are missing or incomplete
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What's Next?
Architecture Tour
Understand how AWS services work together to process documents.
Take the tour
Test the Limits
Push the boundaries to understand edge cases and error handling.
Try challenges