PDF OCR Engine
Convert scanned PDFs and images into searchable, editable text files using a local Tesseract WASM engine directly in your browser. 100% private.
Drop document here
or click to browse local files
Convert Scanned PDFs and Images into Editable Text Locally
Stop sending healthcare data or payroll scans to online clouds for OCR. Docset runs local Tesseract WebAssembly directly inside your browser tab.
How to Run PDF OCR Locally in 3 Steps
1. Load Your Scanned File
Drop your scanned PDF, PNG, or JPEG file into the interactive glassmorphic workspace above.
2. Run Local Optical Recognition
Click "Start OCR Text Recognition". The local sandboxed engine processes the image matrix blocks page-by-page.
3. Save and Copy
Review the recognized text inside the editor window, copy it to your clipboard, or download it as a plain text file.
Client-Side Tesseract OCR vs. Cloud Visual Scraping
Scanned documents like invoices, medical charts, and identification cards contain extremely sensitive PII. Uploading these images to standard online OCR converters leaves them vulnerable to data mining and privacy breaches.
Docset uses compiled Tesseract.js engines inside a dedicated web worker sandbox. By running the optical recognition strictly on your local processor, you gain speed and maintain perfect regulatory compliance for all data handling.
All Instruments
Select another instrument to open it instantly.
Privacy & Security Disclaimer
100% Private & LocalThis tool runs 100% locally in your web browser sandbox using client-side WebAssembly technology. Your files and data are NEVER uploaded to any servers. All computations occur strictly inside your own device memory pool.