Private OCR Studio

Private, browser-based text recognition for images and PDFs with zero file upload. Extract text locally, redact sensitive info, and export searchable PDFs.

Load AI engine on demand after selecting a file
Document preview

Drop, paste, or select an image / PDF

PNG · JPEG · WebP · HEIC · PDF (up to 200 pages) · 100 MB max

Continue With

Continue your workflow with these related next steps
Scan to Word

Extract text and crop isolated illustrations from scanned PDFs and worksheets, restoring layout into editable Word (.docx) files.

Diff Checker

Paste text in both panels ➔ Instantly highlights all additions, deletions, and line changes

Markdown Studio

Real-time GitHub-flavored Markdown editor and live preview workspace with GFM tables, task lists, code blocks, GitHub alerts, table of contents (TOC), and multi-format exports.

Related Tools

PDF Sanitizer

Drop PDF documents ➔ Scans for hidden metadata, annotations & scripts ➔ Export sanitized PDF

PDF Split & Merge

Drop multiple PDFs ➔ Reorder, rotate, delete pages, or split & merge into new PDF files

PDF Compressor

Drop PDF ➔ Select compression mode ➔ Compress locally in thread and download

Local · Model Download

Usage Guide

  • Drop or paste your document (PNG, JPEG, WebP, AVIF, HEIC, or multi-page PDF) to start in-browser text recognition.
  • Review recognized text lines and bounding boxes; make manual edits or apply automatic redaction to hide sensitive info.
  • Export your results as plain text, Excel, searchable PDF, or redacted images with zero server transmission.

Security & Privacy Guarantee

  • Supports PNG, JPEG, WebP, AVIF, HEIC, and PDF files up to 200 pages or 100 MB per document.
  • OCR accuracy depends on image resolution, contrast, and font orientation; low-confidence text blocks can be corrected manually.
  • Models run entirely in client-side WebAssembly/WebGPU workers; initial model downloads are cached locally for offline reuse.

Frequently Asked Questions

Q: Does OCR text recognition work without uploading files to a server?
A: Yes. All image decoding and text recognition execute locally inside your browser using client-side ONNX models. Your documents and extracted text never leave your machine.
Q: How are local OCR models downloaded and cached?
A: On initial use, lightweight model weights are downloaded from CDN and cached in browser storage (IndexedDB/Cache API). Subsequent recognitions run offline without re-downloading.