OCR limits

Why OCR results can be wrong

OCR is recognition, not extraction. It guesses text from pixels, so scan quality, rotation, contrast, font size, language, noise, and page layout matter more than the file extension.

Details

What to know

1

Digital text is different from OCR

If a PDF already has selectable digital text, use PDF to Text first. OCR is for scans and images; running OCR on a digital PDF can introduce recognition errors that were not present in the source.

2

Image quality drives accuracy

Low contrast, blur, shadows, skew, small text, photos taken at an angle, compressed screenshots, and rotated pages all reduce OCR quality. Use readiness and scan-quality checks before launching a long OCR job.

3

Language and layout still need review

OCR can struggle with mixed languages, handwriting, tables, columns, stamps, forms, vertical text, and decorative fonts. Treat the TXT output as a draft that needs human review before reuse.

4

Searchable PDF output needs extra review

Text output is safer to review than invisible text-layer placement. Searchable PDF OCR should only be offered when visual alignment, page rotation, file size, extraction, and confidence checks are strong.

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