or Drag & drop files here
Supported formats: .pdf, application/pdf
Transform scanned PDFs and image-based documents into searchable, editable text with our free online OCR tool. Our PDF OCR converter uses advanced Tesseract.js technology to extract text from scanned documents, make PDFs searchable, and recognize text in 100+ languages—all processed securely in your browser without uploading files to any server.
Process scanned documents instantly with 90-95% accuracy for clean printed text
Convert scanned PDFs to searchable text in 4 simple steps
Upload your scanned PDF
Drag and drop your scanned PDF or click to browse. Our OCR tool processes files up to 50MB with a limit of 30 pages for optimal performance.
Select document language
Choose from 100+ supported languages including English, Spanish, French, German, Chinese, Japanese, and Arabic for accurate text recognition.
Choose output format
Select searchable PDF to create a document with an invisible text layer, or plain text (.txt) to extract just the recognized text.
Download searchable PDF or text
Download your OCR-processed document. Searchable PDFs maintain the original appearance while allowing text selection and search.
Professional OCR capabilities without subscription fees
No hidden costs, watermarks, or daily limits. Convert unlimited scanned PDFs to searchable text completely free, unlike Adobe Acrobat's paid OCR feature.
Recognize text in English, Spanish, Portuguese, French, German, Italian, Chinese, Japanese, Korean, Arabic, Hindi, and 90+ more languages.
All OCR processing happens locally in your browser using WebAssembly. Your scanned documents never leave your device—perfect for sensitive documents.
Achieve 90-95% accuracy on clean printed text using Tesseract.js, the same engine powering Google's OCR technology.
Create PDFs with invisible text layers that look identical to originals but are fully searchable and support text selection.
Use OCR directly in your browser on any device. No software downloads, Adobe Acrobat subscription, or plugins needed.
How professionals use our OCR tool to make PDFs searchable
Convert scanned paper documents, archived files, and legacy records into searchable digital formats.
Example: Law firms OCR decades of case files to create searchable archives for quick reference.
Extract text from scanned receipts, invoices, and financial documents for accounting and expense tracking.
Example: Accountants OCR boxes of receipts to extract vendor names, amounts, and dates for bookkeeping.
Make scanned books, journal articles, and research papers searchable for academic work.
Example: Researchers OCR historical documents and rare books to search for specific terms and references.
Convert scanned contracts and legal documents into searchable PDFs for efficient review.
Example: Legal teams make signed contracts searchable to quickly locate specific clauses and terms.
Digitize scanned patient records, prescriptions, and medical documents for healthcare management.
Example: Healthcare providers OCR patient forms to integrate information into electronic health records.
Extract text from scanned passports, visas, ID cards, and immigration documents.
Example: Immigration services process scanned identity documents to extract names, dates, and document numbers.
Make scanned PDFs searchable on your platform
Convert scanned PDFs to searchable text on Windows 10/11 without installing OCR software or Adobe Acrobat Pro.
Perform OCR on scanned documents on macOS. More powerful than Preview's limited text recognition capabilities.
Full OCR capabilities on Ubuntu, Fedora, and other Linux distributions without installing tesseract-ocr packages.
Convert scanned documents to searchable text on iOS without downloading OCR apps.
Free PDF OCR on Android phones and tablets. No app installation needed.
How PDFyogi compares to other OCR solutions
| Feature | PDFyogi | Adobe Acrobat Pro | Google Drive | OnlineOCR.net |
|---|---|---|---|---|
| Free to Use | ✓ Always Free | ✗ $239.88/year | ✓ Free | ⚠ 15 Pages Free |
| Languages Supported | ✓ 100+ Languages | ✓ Many Languages | ⚠ Limited | ✓ 40+ Languages |
| Searchable PDF Output | ✓ Full Support | ✓ Full Support | ✗ Google Docs Only | ⚠ Basic |
| Text Extraction | ✓ Plain Text Export | ✓ Word Export | ✓ To Docs Format | ✓ Multiple Formats |
| Privacy (Local Processing) | ✓ 100% Local | ✓ Desktop App | ✗ Cloud Upload | ✗ Server Upload |
| No Registration | ✓ Anonymous | ✗ Adobe Account | ✗ Google Account | ⚠ Registration for More |
| Batch Processing | ✓ Multiple Files | ✓ Batch OCR | ✗ One at a Time | ✗ Free Tier |
| Accuracy Level | 90-95% Accuracy | 95%+ Accuracy | Good Accuracy | Good Accuracy |
| Daily Limits | ✓ Unlimited | ✓ Unlimited | ✓ Unlimited | ⚠ 15 Pages/Hour |
PDFyogi offers the best combination of features for free PDF OCR: unlimited processing, 100+ languages, complete privacy with local processing, and no registration required—capabilities that typically cost $20+/month elsewhere.
Maximize accuracy when converting scanned PDFs to text
Scan documents at 300 DPI or higher for best OCR accuracy. Low-resolution scans (under 150 DPI) significantly reduce text recognition quality.
Make sure pages are correctly oriented before OCR. Rotate any upside-down or sideways pages using our Rotate PDF tool first.
Always select the document's primary language for best results. For multi-language documents, use the dominant language setting.
For poor scans, consider improving contrast and removing background noise before OCR. Clear black text on white background yields the best results.
Select 'Best' OCR quality setting for critical documents where accuracy is paramount, even if it takes longer to process.
Always review OCR results for important documents. Common errors include confused characters (0/O, 1/l/I) and merged or split words.
Detailed specifications for our PDF OCR tool
Common questions about PDF OCR and text extraction
OCR (Optical Character Recognition) is technology that analyzes images of text and converts them into machine-readable text. It works by identifying patterns of pixels that form letters and words, then mapping them to text characters.
Solutions to common PDF OCR issues