# RapidLaTeXOCR

**Repository Path**: RapidAI/RapidLaTeXOCR

## Basic Information

- **Project Name**: RapidLaTeXOCR
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-08-08
- **Last Updated**: 2025-08-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<div align="center">
<div align="center">
   <h1><b>Rapid ⚡︎ LaTeX OCR</b></h1>
</div>
<div>&nbsp;</div>

<a href="https://huggingface.co/spaces/SWHL/RapidLaTeXOCRDemo" target="_blank"><img src="https://img.shields.io/badge/%F0%9F%A4%97 Hugging Face-Demo-blue"></a>
<a href="https://www.modelscope.cn/studios/liekkas/RapidLatexOCRDemo/summary" target="_blank"><img src="https://img.shields.io/badge/魔搭-Demo-blue"></a>
<a href="https://aistudio.baidu.com/application/detail/23590" target="_blank"><img src="https://img.shields.io/badge/百度AI%20Studio-Demo-blue"></a>
<a href=""><img src="https://img.shields.io/badge/Python->=3.6,<3.13-aff.svg"></a>
<a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg"></a>
<a href="https://pepy.tech/project/rapid_latex_ocr"><img src="https://static.pepy.tech/personalized-badge/rapid_latex_ocr?period=total&units=abbreviation&left_color=grey&right_color=blue&left_text=Downloads"></a>
<a href="https://pypi.org/project/rapid_latex_ocr/"><img alt="PyPI" src="https://img.shields.io/pypi/v/rapid_latex_ocr"></a>
<a href="https://semver.org/"><img alt="SemVer2.0" src="https://img.shields.io/badge/SemVer-2.0-brightgreen"></a>
<a href="https://github.com/psf/black"><img src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>

</div>

### Introduction

`rapid_latex_ocr` is a tool to convert formula images to latex format.

**The reasoning code in the repo is modified from [LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR), the model has all been converted to ONNX format, and the reasoning code has been simplified, Inference is faster and easier to deploy.**

The repo only has codes based on `ONNXRuntime` or `OpenVINO` inference in onnx format, and does not contain training model codes. If you want to train your own model, please move to [LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR).

If it helps you, please give a little star ⭐ or sponsor a cup of coffee (click the link in Sponsor at the top of the page)

🔥 Model Conversion Notes 👉 [ConvertLaTeXOCRToONNX](https://github.com/SWHL/ConvertLaTeXOCRToONNX)

### [Online Demo](https://swhl-rapidlatexocrdemo.hf.space)

<div align="center">
    <img src="https://github.com/RapidAI/RapidLatexOCR/releases/download/v0.0.0/demo.gif" width="100%" height="100%">
</div>

### Framework

```mermaid
flowchart LR

A(Preprocess Formula\n ProcessLaTeXFormulaTools) --> B(Train\n LaTeX-OCR) --> C(Convert \n ConvertLaTeXOCRToONNX) --> D(Deploy\n RapidLaTeXOCR)

click A "https://github.com/SWHL/ProcessLaTeXFormulaTools" _blank
click B "https://github.com/lukas-blecher/LaTeX-OCR" _blank
click C "https://github.com/SWHL/ConvertLaTeXOCRToONNX" _blank
click D "https://github.com/RapidAI/RapidLaTeXOCR" _blank
```

### Installation
>
> [!NOTE]
> When installing the package through pip, the model file will be automatically downloaded and placed under models in the installation directory.
>
> If the Internet speed is slow, you can download it separately through [Google Drive](https://drive.google.com/drive/folders/1e8BgLk1cPQDSZjgoLgloFYMAQWLTaroQ?usp=sharing) or [Baidu NetDisk](https://pan.baidu.com/s/1rnYmmKp2HhOkYVFehUiMNg?pwd=dh72).

```bash
pip install rapid_latex_ocr
```

### Usage

#### Used by python script

```python
from rapid_latex_ocr import LaTeXOCR

model = LaTeXOCR()

img_path = "tests/test_files/6.png"
with open(img_path, "rb") as f:
    data = f.read()

res, elapse = model(data)

print(res)
print(elapse)
```

#### Used by command line

```bash
$ rapid_latex_ocr tests/test_files/6.png

# {\\frac{x^{2}}{a^{2}}}-{\\frac{y^{2}}{b^{2}}}=1
# 0.47902780000000034
```

### Code Contributors

<p align="left">
  <a href="https://github.com/RapidAI/RapidLatexOCR/graphs/contributors">
    <img src="https://contrib.rocks/image?repo=RapidAI/RapidLatexOCR" width="20%"/>
  </a>
</p>

### Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

### [Sponsor](https://swhl.github.io/RapidVideOCR/docs/sponsor/)

If you want to sponsor the project, you can directly click the **Buy me a coffee** image, please write a note (e.g. your github account name) to facilitate adding to the sponsorship list below.

<div align="left">
  <a href="https://www.buymeacoffee.com/SWHL"><img src="https://raw.githubusercontent.com/RapidAI/.github/main/assets/buymeacoffe.png" width="30%" height="30%"></a>
</div>

### License

This project is released under the [MIT license](./LICENSE).