Pro Tips

Convert Handwriting to Latex

Oct 4, 2025

Math to LaTeX

Handwriting to LaTeX Converter

Turn messy notes into clean, compile-ready LaTeX—instantly.
Perfect for math, research, exams, and lecture scribbles.

Try it now → Upload a photo or PDF of your notes and get LaTeX you can edit in Octree.

  • Math-first accuracy: equations, matrices, integrals, proofs

  • Layout aware: titles, sections, lists, inline math vs display math

  • Batch mode: scan a notebook once → get a structured .tex project

  • Private by default: opt-in cloud; on-prem available for labs & firms

How it works

  1. Upload images (JPG/PNG/HEIC), scans, or PDFs

  2. Enhance (deskew, denoise, contrast boost)

  3. Recognize handwriting + symbols (vision OCR + math parser)

  4. Structure into LaTeX (sections, labels, numbered equations)

  5. Review & edit in Octree with AI diffing and one-click compile

What you can upload

  • A4/Letter scans from phones or flatbed scanners

  • Whiteboard photos (take straight-on; avoid glare)

Live demo

Handwritten (example)

Output LaTeX

\documentclass{article}
\usepackage{amsmath}
\usepackage{amssymb}

\begin{document}

example: 
\[
\lim_{x \to 2} \frac{x^2 - 4}{x - 2} \text{ is the "0" case}
\]
The function isn't defined at \( x = 2 \).

Manipulate algebraically by factoring:
\[
\frac{(x + 2)(x - 2)}{(x - 2)} \to \lim_{x \to 2} (x + 2) = 4
\]

\end{document}

Why Octree over generic OCR?

  • Built for LaTeX: knows \begin{align}, \frac, \sum, \pmatrix, labels/refs

  • Inline vs display math: smart detection + consistent formatting

  • Semantic cleanup: replaces ambiguous symbols, normalizes spacing, escapes _ # %

  • AI diffing: accept/reject changes like code review for math

  • Speed: optimized pipeline + on-device pre-processing options

Tips for best accuracy

  • Write clearly; keep symbols distinct (e.g., 111 vs lll vs ∣|∣)

  • Use lined/dot grid paper; avoid shadows/glare

  • Shoot straight-on; include margins so we detect layout

  • Prefer black/blue pen; avoid light pencil on glossy paper

Privacy & Compliance

  • Private by default: your files aren’t used to train models unless you opt-in

  • Regions & retention: choose data region; set auto-delete windows

  • On-prem/self-hosted: for universities, finance, and legal teams

  • Access controls: SSO/SAML, audit logs, role-based permissions

Try it out at: https://tools.useoctree.com/tools/math-to-latex