---
title: Pix2Text
emoji: ♾️
colorFrom: red
colorTo: blue
sdk: gradio
sdk_version: 4.19.2
app_file: app.py
pinned: false
license: mit
---

# Pix2Text (P2T)

**[Pix2Text (P2T)](https://github.com/breezedeus/pix2text)** aims to be a **free and open-source Python** alternative to **[Mathpix](https://mathpix.com/)**. It can already complete the core functionalities of **Mathpix**. Starting from **V0.2**, **Pix2Text (P2T)** supports recognizing **mixed images containing both text and formulas**, with output similar to **Mathpix**. The core principles of P2T are shown below (text recognition supports both **Chinese** and **English**):

<div align="center"> <img src="https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F8afb65f8-fd1d-48b9-978a-688554cc759a%2FUntitled.jpeg?table=block&id=39580ae6-09e5-4631-a611-e80e720f3877" alt="Pix2Text workflow" width="600px"/> </div>

**P2T** utilizes the open-source tool **[CnSTD](https://github.com/breezedeus/cnstd)** to detect the locations of **mathematical formulas** in images. These detected areas are then processed by **P2T**'s own **formula recognition engine (LatexOCR)** to recognize the LaTeX representation of each mathematical formula. The remaining parts of the image are processed by a **text recognition engine ([CnOCR](https://github.com/breezedeus/cnocr) or [EasyOCR](https://github.com/JaidedAI/EasyOCR))** for text detection and recognition. Finally, **P2T** merges all recognition results to obtain the final image recognition outcome. Thanks to these great open-source projects!

For beginners who are not familiar with Python, we also provide the **free-to-use** [P2T Online Service](https://p2t.breezedeus.com/). Just upload your image and it will output the P2T parsing results. **The online service uses the latest models and works better than the open-source ones.**


The author also maintains **Planet of Knowledge** [**P2T/CnOCR/CnSTD Private Group**](https://t.zsxq.com/FEYZRJQ), welcome to join. The **Planet of Knowledge Private Group** will release some P2T/CnOCR/CnSTD related private materials one after another, including **non-public models**, **discount for paid models**, answers to problems encountered during usage, etc. This group also releases the latest research materials related to VIE/OCR/STD.