OCR PDF
Scanned documents and smartphone photos of physical paperwork are often locked in image formats where text cannot be searched or copied. Pdfyara's OCR (Optical Character Recognition) engine processes scanned pages directly on your device, identifying character shapes and converting them into real digital text.
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Drop scanned PDF or image for OCR
Extract searchable, editable text directly in your browser
How to Use OCR PDF
Upload Scanned Document
Select your scanned PDF or photo.
Select Language
Choose the document language (English, etc.) for high recognition accuracy.
Run OCR
Watch live character recognition progress as each page is parsed.
Copy or Download Text
Copy the extracted text or download it as a text file.
Fast, privacy-friendly document tools powered by PDFYARA.
How OCR PDF Works Under the Hood
Pdfyara runs a neural network OCR pipeline (Tesseract WebAssembly) directly in a dedicated browser Web Worker, inspecting contrast gradients, glyph features, and dictionary lookups.
Common Use Cases for OCR PDF
Digitizing Paper Invoices
Turn stacks of physical paper receipts into digital text records.
Archived Historical Records
Convert scanned library archives into searchable text databases.
Contract Extraction
Copy text clauses from faxed or photocopied agreements.
Recommended Approaches
- Ensure scans have good contrast and are straight for the highest OCR accuracy (use Deskew PDF if crooked).
- High scan resolutions (300 DPI) yield far superior recognition than blurry low-light photos.
Common Pitfalls
- Attempting OCR on severely blurry, dark, or distorted photographs.
What to Keep in Mind
- •OCR accuracy depends directly on image clarity, handwriting legibility, and font styling; 100% accuracy cannot be guaranteed on low-grade scans.
100% Client-Side Processing
This tool runs completely inside your web browser using WebAssembly. Your documents are never uploaded, stored, or viewed by anyone.
OCR PDF FAQ
Related Tools & Resources
Step-by-Step Tutorials
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