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Archival OCR Examples

For example, use Archival OCR for sharing/archiving: back up, export to the target format and spot-check 2-3 files.

Updated 2026-10-31About 3 minLocal test
Quick answer

For example, use Archival OCR for sharing/archiving: back up, export to the target format and spot-check 2-3 files. Archival OCR should keep the scan/metadata/page numbers for traceability.

Why it matters

Real scenarios expose problems better than abstract specs.

Never overwrite the original scan.

Step by step

  1. Check for a text layer: if text is selectable/copyable, OCR may be unnecessary.
  2. For scans, raise resolution/contrast and deskew.
  3. Pick the right language (Chinese/English/mixed) and only the needed pages.
  4. Proofread numbers/amounts/dates/names; don't trust OCR blindly.
  5. Export TXT/copy, keep the original PDF and a proofreading record.

Common mistakes

  • OCR-ing a PDF that already has a text layer and adding errors.
  • Low-resolution/skewed scans producing poor accuracy.
  • Using one language for mixed Chinese/English pages.
  • Not proofreading amounts/dates/IDs before importing.

Checklist

  • Text layer vs scan determined.
  • Resolution/orientation/contrast handled.
  • Language/page range chosen correctly.
  • Numbers/amounts/dates/names proofread.
  • Original PDF/proofreading record kept.

Key facts

  • Never overwrite the original scan.
  • Record OCR version/date.

FAQ

Can you show a Archival OCR example?

For example, use Archival OCR for sharing/archiving: back up, export to the target format and spot-check 2-3 files. Archival OCR should keep the scan/metadata/page numbers for traceability.

How long does it take?

Usually 1-3 minutes; for intermittent issues, run 30 seconds and retest elsewhere.

Is data uploaded?

Runs locally and does not upload video/audio; extensions may still read the page.

Source: Internet Archive