OCR
OCR Workflow Checklist for Scanned Documents
Improve text extraction quality with a practical pre-scan and post-extraction validation checklist.
Reviewed: 2026-05-04 · Publisher: LoveMorePDF Editorial Team
OCR quality depends heavily on source quality. Scan with stable orientation, sufficient contrast, and clean page boundaries before running recognition.
After OCR, verify high-risk fields first: names, dates, invoice amounts, legal references, and table values. These areas carry the highest business impact when errors occur.
For multilingual documents, separate language zones when possible and validate terminology manually, especially in domain-specific contexts such as legal or healthcare material.
Archive both versions: original scan and OCR-enhanced file. This preserves auditability while enabling search and reuse.
Frequently Asked Questions
Why does OCR fail on some pages?
Low-quality scans, blur, skew, and mixed language layouts are common root causes.
Should OCR replace manual review?
No. OCR accelerates extraction, but critical fields should still be reviewed by a human.