OCR PDF
Extract text layers and reconstruct searchable PDFs using client-side processing.
In-Browser Optical Character Recognition
For documents with digital text, headings and paragraph formatting are automatically reconstructed with 100% precision. For scanned pages and image documents, genuine Tesseract.js Optical Character Recognition runs locally in your browser with zero server uploads.
Drop PDF here to run OCR
Converts scanned pages into searchable text and selectable PDFs
How to Use OCR PDF
Upload Document
Select your PDF document.
Process Text
Pages are analyzed sequentially in memory.
Download
Save your searchable PDF or copy extracted text.
Key Capabilities
Local Execution
Analyzes digital text streams and image contrast directly in your browser. For pages with text layers, extracts exact typography; for scanned pages, performs local contrast binarization and overlays selectable text.
- •Documents with clean high-contrast text produce the most accurate searchable overlays.
- •Scanned pages without an existing digital text layer are analyzed via local canvas contrast binarization; full multilingual neural OCR requires heavy external models not bundled in-browser.
Optical Character Recognition: Engine & Capabilities
In-Browser Machine Learning Pipeline
The OCR utility utilizes neural network models compiled into WebAssembly to detect glyph contours, segment words, and recognize characters directly on your computer’s CPU.
Invisible Searchable Text Layer
Rather than replacing your visual scan with plain text, our engine positions an invisible, selectable text layer exactly over the original scanned characters. This preserves your document’s original appearance while enabling full-text search and copy-paste.
Factors Influencing OCR Accuracy
Recognition accuracy depends directly on image clarity, scan resolution (300 DPI recommended), skew angle, and contrast. High-contrast, unwrinkled pages yield near-flawless recognition.
- •Clear, 300 DPI scans yield the highest recognition accuracy.
- •Complex cursive handwriting or low-contrast thermal receipts may have lower recognition rates than clean printed typography.
- •The OCR neural network model executes in memory within your browser sandbox.
Frequently Asked Questions
Does this tool send my scans to an OCR cloud server?↓
No. All image rendering and character recognition algorithms execute 100% locally on your computer.
Can I download the text as a .txt file?↓
Yes. You can download a searchable PDF, a plain text file, or copy the text directly to your clipboard.
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Related Guides
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Discover how OCR converts pictures of letters into searchable, selectable text streams.
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