Easily turn handwritten PDF lecture files, math notes, and annotations into beautiful digital equations. Powered by a client-side symbolic solver.
Built for confidential workflows — files stay in your browser memory.
Stop struggling to digitize handwritten mathematics notes from lectures. Manual transcription is slow, but our handwritten OCR engine converts visual notes seamlessly. By utilizing a strokes vector segmentation algorithm and handwritten characters recognition nodes, it parses messy symbols flawlessly. It traces writing paths, maps characters to a mathematical AST parser, and generates clean LaTeX math markup. The ink stroke coordinate estimation traces layout bounds, ensuring matrices and fractions align. This robust extraction executes securely in your local browser sandbox, giving you a private, hyper-fast notes converter.
Select the scanned PDF containing handwritten notes or equations.
Highlight the handwritten segment you want to transcribe.
Copy the compiled LaTeX text output directly into your thesis template.
| Feature Metric | Traditional Cloud Services | GoLocalPDF Sandbox |
|---|---|---|
| Handwriting Recognition | ❌ Fails on cursive styles and non-printed math symbols | ✅ Recognizes handwritten characters and equation structures |
| Data Control | ❌ Transmits draft patents to third-party databases | 🛡️ Safe browser sandbox. No file uploads |
| Cursive Support | ❌ Requires printing block characters explicitly | ✅ Robust cursive alignment mapping |
| LaTeX Verification | ❌ Requires manual code correction from scratch | ✅ Real-time preview panel showing compiled math rendering |
Yes, our handwritten characters recognition engine processes stroke paths and raster scans seamlessly, mapping vectors to structured LaTeX syntax.
It handles integrals, Greek characters, fractions, and multi-line equations. Our parser builds a robust mathematical AST path to generate clean code.
Yes, all stroke segmentation and character parsing run securely inside the local WebAssembly thread, protecting your intellectual files from server leaks.
