/ OCR / document quality / business license
How to Review Low-Resolution License Images With AI
AI can help read poor images, but the workflow should ask for replacement documents when critical fields remain weak.
Low-resolution license images create a common trap. AI may extract a company name with confidence while missing one character, a date, or a registration code. Those errors can send the analyst to the wrong entity.
Treat image quality as a field in the case, not a side note. Mark the document as clear, usable with review, or replacement needed. Critical fields such as legal name, registration code, and registered address should not rely on guessed OCR.
Ask the model to highlight uncertainty. If two characters look similar, the output should show alternatives or request human confirmation. Translation should happen after the Chinese field is captured correctly.
If the supplier sends only screenshots, ask for a full-frame replacement. The request can stay polite: the review needs readable fields and document edges. You are not accusing the supplier of editing the file.
Keep correction history. Analyst fixes to OCR output become useful training data for future cases with similar document layouts.
Working checklist
- Grade document quality.
- Require clear critical fields.
- Preserve original image.
- Ask for replacement when OCR guesses.
- Store analyst corrections.