OCR PDF
Professional, fast, and local browser-based utility for OCR PDF. Process your documents securely without uploads.
OCR Settings
Selected: document.pdf
Additional languages will be downloaded automatically when selected.
Loading OCR engine...
This may take a moment on the first run.
Extracted Text Preview
Executed 100% locally on your browser
When you upload files, they are read as binary arrays in your browser's sandboxed RAM. We use high-performance WebAssembly to execute tasks locally, never sending files to any server.
Convert scanned PDFs and photo documents into searchable, copyable, and selectable text. PDFVoid uses a browser-based WebAssembly OCR engine that runs offline in your tab.
How to use our free OCR PDF tool
Load scanned PDF
Select or drag the scanned PDF file or document photo you need to process.
Start local recognition
Click the 'Extract Text' or 'Start OCR' button to activate the local character recognition engine.
Extract characters offline
The engine runs in a WebAssembly thread inside your tab, reading text patterns from images locally.
Save searchable text
Save the recognized text as a TXT file or copy it straight to your clipboard for quick sharing.
Why choose PDFVoid OCR PDF?
Offline OCR Engine
Performs optical character recognition in your browser RAM without server API queries.
One-Click Clipboard Copy
Extract text from receipts, letters, and printed logs and copy them in a single tap.
High OCR Accuracy
Analyzes image patterns, lines, and characters to deliver highly accurate text output.
Frequently Asked Questions
How does the OCR engine run without a server?
We load a high-performance WebAssembly port of an OCR model (like Tesseract.js) directly into your browser. This model runs on your machine's CPU threads to recognize characters offline.
What languages does the OCR tool support?
Our standard model supports English character recognition, extracting text from scanned pages, invoices, and photos.
Is my scanned document uploaded to any database?
No. The scanned image arrays are read directly in browser memory and parsed on your local CPU. Your confidential documents remain private.
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