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, langu...

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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 dig...

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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...

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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 font...

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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 vis...

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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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