---
title: CnOCR-Demo
canonical_url: "https://www.modelscope.cn/studios/Breezedeus/CnOCR-Demo"
md_url: "https://www.modelscope.cn/studios/Breezedeus/CnOCR-Demo.md"
repository: Breezedeus/CnOCR-Demo
chinese_name: CnOCR-Demo
last_updated: 2023-12-29
sdk_type: gradio
sdk_version: 4.8.0
downloads: 0
stars: 16
---

# CnOCR-Demo

> CnOCR-Demo - Breezedeus 在 ModelScope 创建的在线 Demo。CnOCR V2.3 Demo

Breezedeus/CnOCR-Demo 是 ModelScope 魔搭社区上的在线可交互 Demo（创空间），基于 gradio 4.8.0 构建。

- **Repository**: Breezedeus/CnOCR-Demo
- **SDK**: gradio
- **SDK version**: 4.8.0
- **Downloads**: 0
- **Stars**: 16
- **Last updated**: 2023-12-29

Source: https://www.modelscope.cn/studios/Breezedeus/CnOCR-Demo

---

# 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.