Quick answer
Maintain Contract OCR with regular backups, temp-file cleanup, tool updates and a baseline output. A single OCR error can change a contract's meaning; proofread clause by clause.
Why it matters
A baseline helps distinguish file degradation from environment changes.
Numbers/negations/dates are riskiest.
Step by step
- Check for a text layer: if text is selectable/copyable, OCR may be unnecessary.
- For scans, raise resolution/contrast and deskew.
- Pick the right language (Chinese/English/mixed) and only the needed pages.
- Proofread numbers/amounts/dates/names; don't trust OCR blindly.
- 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
- Numbers/negations/dates are riskiest.
- Keep originals/signed versions.
FAQ
How do I maintain Contract OCR?
Maintain Contract OCR with regular backups, temp-file cleanup, tool updates and a baseline output. A single OCR error can change a contract's meaning; proofread clause by clause.
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: ICC