DOCSET /

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.

LOCAL · FREE · SECURE · v2026.1

Drop document here

or click to browse local files

Max 100MB · Offline Sandbox

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

1. Load Your Scanned File

Drop your scanned PDF, PNG, or JPEG file into the interactive glassmorphic workspace above.

2

2. Run Local Optical Recognition

Click "Start OCR Text Recognition". The local sandboxed engine processes the image matrix blocks page-by-page.

3

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.

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Privacy & Security Disclaimer

100% Private & Local

This 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.