Overview
OCR stands for Optical Character Recognition. It is technology that reads visible letters and words from a scanned image or PDF page, then creates machine-readable text.
Why this matters
OCR helps users search long scans, copy text, and make printed documents easier to work with without manually typing every page.
How OCR works
OCR analyses the shapes on a scanned page and compares them to characters, words, and language patterns. It can then create a searchable text layer behind the visible page image.
The original page appearance normally remains visible, but users may be able to search for words or select recognised text.
What affects OCR accuracy
OCR works best with clear, upright, high-contrast typed documents. Blurry scans, shadows, handwriting, unusual fonts, tables, stamps, diagrams, and mixed languages can reduce accuracy.
OCR results should always be checked when names, numbers, legal information, academic details, or financial data matter.
When OCR is useful
OCR is useful for scanned notes, old documents, printed records, invoices, books, certificates, and pages that cannot currently be searched.
It does not guarantee that a scanned PDF becomes perfectly editable. For substantial editing, a PDF to Word conversion may still require manual formatting review.
How to do it with PDFClan
- 1
Start with a clear scanned PDF.
- 2
Upload it to OCR PDF.
- 3
Create and download the searchable version.
- 4
Search for a few known words to test results.
- 5
Review important information manually.
Useful tips
- OCR is most accurate for clear typed text.
- Keep the original scan as backup.
- Check names, dates, and numbers carefully.
- Use OCR for searchability, not automatic perfection.
Important note
Always review downloaded documents before submitting, printing, signing, or sharing important files. Complex formatting, scanned pages, images, fonts, or document protection can affect processing results.