Blurry or incomplete scans can make automated extraction unreliable. The workflow should recognise input problems rather than presenting uncertain text as verified data.
The decision to make
Specify minimum acceptable input quality and a route to request a better copy. Confidence indicators should support review, not replace it.
Practical checklist
- Detect missing pages and unreadable areas.
- Keep the original file available to authorised reviewers.
- Record corrections without erasing the original extraction.
An illustrative example
A cropped total on a scanned invoice may look like a smaller amount. The process should flag the incomplete evidence rather than infer the missing digits.
Your next step
Include poor-quality samples in acceptance testing so the fallback is exercised before real users depend on it.
AI-assisted planning guide published by Prime Pixels. Examples are illustrative, not customer case studies. Project scope and applicable requirements must be checked for your circumstances.