Math OCR

Motivation

Enable more intuitive rendering of complex mathematical notations into LaTeX typesettings without having in-depth knowledge of LaTeX syntax.

Features & Functionalities

• Open Neural Network Exchange (Onnx) OCR models at 📁 models were originally retrieved from RapidLaTeXOCR and deployed on Python Flask App

• Onnx OCR models reads input graphical data of math equations and outputs:

  • Math Inline notations
  • LaTeX typesetting using KaTeX JavaScript library
  • HTML markup of formatted output

Preview

Upload image of math formualae

Draw math equation on HTML canvas

Demo

Python Flask Web App deployed on Render.

Purpose of .bat files

Filename	Description
requirements.txt	Contains list of Python package dependencies for application
pip_freeze.bat	Extract used python packages intorequirements.txt file
pip_install_requirements.bat	Install all python packages inrequirements.txt file
upgrade_pip.bat	Upgrade pip used in virtual environment
activate_env.bat	Activate virtual environment named .env
run_app.bat	Run web app in dev environment on port 5000

Credits and Acnowledgement

• RapidLaTeXOCR (for Onnx Math OCR models)
• KaTeX JavaScript library, an open-sourced library to display LaTeX-formatted math formulae and equations on digital print

Related Readings

Published in Deploy Math OCR ONNX Model In Python Flask Web App

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