---
title: CnOCR
emoji: 🅞🅒🅡
colorFrom: indigo
colorTo: yellow
sdk: streamlit
app_file: app.py
pinned: false
---

# CnOCR

[**CnOCR**](https://github.com/breezedeus/cnocr)  is an **Optical Character Recognition (OCR)** toolkit for **Python 3**. It supports recognition of common characters in **English and numbers**, **Simplified Chinese**, **Traditional Chinese** (some models), and **vertical text** recognition. It comes with [**20+ well-trained models**](https://cnocr.readthedocs.io/zh/latest/models/) for different application scenarios and can be used directly after installation. Also, CnOCR provides simple training [commands](https://cnocr.readthedocs.io/zh/latest/train/) for users to train their own models. Welcome to join the WeChat contact group.

<div align="center">
  <img src="https://huggingface.co./datasets/breezedeus/cnocr-wx-qr-code/resolve/main/wx-qr-code.JPG" alt="WeChat Group" width="300px"/>
</div>

The author also maintains **Planet of Knowledge** [**CnOCR/CnSTD Private Group**](https://t.zsxq.com/FEYZRJQ), welcome to join. The **Planet of Knowledge Private Group** will release some CnOCR/CnSTD related private materials one after another, including [**more detailed training tutorials**](https://articles.zsxq.com/id_u6b4u0wrf46e.html), **non-public models**, answers to problems encountered during usage, etc. This group also releases the latest research materials related to OCR/STD. In addition, **the author in the private group provides free training services for unique data twice a month**.

## Documentation

See [CnOCR online documentation](https://cnocr.readthedocs.io/) , in Chinese.