--- title: "CnOCR Demo" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/6ff94e6e-fb52-4cf4-b0c2-e69a251ffb1a" updated: "2026-11-12" --- # CnOCR Demo > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio demo of CnOCR, a Python OCR toolkit that reads English, numbers, Chinese and vertical text from pictures. It suits people who want to try it before installing it. CnOCR Demo is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by breezedeus ## About ### What it is CnOCR Demo is a Gradio app on Hugging Face Spaces for CnOCR, an optical character recognition toolkit for Python 3. CnOCR reads English letters and numbers, Simplified Chinese, some Traditional Chinese models and vertical text. It ships with more than 20 trained models for different scenes and offers simple training commands for your own models. ### Who it suits It suits people who need to read Chinese or English text from pictures, and developers who want to try CnOCR before installing the toolkit. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Administration | Office staff | Turn a photographed document into text | Open the Space and give it a picture of a page | | Software | Python developers | Try the recognition quality before adding the toolkit | Run a test picture through the demo | | Publishing | Editors | Pull text out of images with vertical writing | Give it a picture of a vertical text block | Anyone who needs handwriting recognition can skip it, since the source does not mention handwriting. ### Where to use it - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy - Python 3 programs, where the CnOCR toolkit itself is used | Use case | Who | What they get back | | --- | --- | --- | | Read text from a picture | Anyone with a scan | The recognised text, shown in the browser | | Test the toolkit | Developers | A quick view of how CnOCR handles their images | | Train a custom model | Researchers | Simple training commands that the toolkit provides | ### How to set it up Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface\_hub package, to fetch the files - Gradio 5.35.0, and the packages in requirements.txt - The system packages in packages.txt, which Hugging Face installs with apt-get 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called CnOCR-Demo. 3. Move into that folder. 4. Install Gradio 5.35.0, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download breezedeus/CnOCR-Demo --repo-type space --local-dir CnOCR-Demo cd CnOCR-Demo pip install gradio==5.35.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page on Hugging Face and give it a picture that holds text. For a local copy, run python app.py in the folder and open the page it starts. ### Example You give the app a photo of a page with Chinese text. It runs CnOCR on the picture and shows the characters it recognises. ### For newcomers and experts If you are new, try a clear photo of a short line of text. OCR means a program reads the letters in a picture and gives them back as text. If you know the field, CnOCR offers a range of pretrained models for different scenes and lets you train your own with its commands. The repository also holds a Streamlit version of the demo besides the Gradio one. You give the app a picture with text → CnOCR runs a recognition model on it → The recognised text shows on the page ### Good to know - It reads common characters in English, numbers and Chinese, plus vertical text, and some models cover Traditional Chinese - The Space runs on the basic CPU hardware at Hugging Face, so large pictures may take a while - License: apache-2 - Cost to run: none named - Data it reaches: the pictures you give it ## README ````markdown # CnOCR Demo A Gradio demo of CnOCR, a Python OCR toolkit that reads English, numbers, Chinese and vertical text from pictures. It suits people who want to try it before installing it. Made by breezedeus on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: CnOCR Demo is a Gradio app on Hugging Face Spaces for CnOCR, an optical character recognition toolkit for Python 3. CnOCR reads English letters and numbers, Simplified Chinese, some Traditional Chinese models and vertical text. It ships with more than 20 trained models for different scenes and offers simple training commands for your own models. Who it suits: It suits people who need to read Chinese or English text from pictures, and developers who want to try CnOCR before installing the toolkit. ```table Industry | Who uses it | How they use it | Example Administration | Office staff | Turn a photographed document into text | Open the Space and give it a picture of a page Software | Python developers | Try the recognition quality before adding the toolkit | Run a test picture through the demo Publishing | Editors | Pull text out of images with vertical writing | Give it a picture of a vertical text block ``` Anyone who needs handwriting recognition can skip it, since the source does not mention handwriting. Where to use it: - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy - Python 3 programs, where the CnOCR toolkit itself is used ```table Use case | Who | What they get back Read text from a picture | Anyone with a scan | The recognised text, shown in the browser Test the toolkit | Developers | A quick view of how CnOCR handles their images Train a custom model | Researchers | Simple training commands that the toolkit provides ``` How to set it up: Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface_hub package, to fetch the files - Gradio 5.35.0, and the packages in requirements.txt - The system packages in packages.txt, which Hugging Face installs with apt-get 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called CnOCR-Demo. 3. Move into that folder. 4. Install Gradio 5.35.0, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download breezedeus/CnOCR-Demo --repo-type space --local-dir CnOCR-Demo cd CnOCR-Demo pip install gradio==5.35.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space page on Hugging Face and give it a picture that holds text. For a local copy, run python app.py in the folder and open the page it starts. Example: You give the app a photo of a page with Chinese text. It runs CnOCR on the picture and shows the characters it recognises. For newcomers and experts: If you are new, try a clear photo of a short line of text. OCR means a program reads the letters in a picture and gives them back as text. If you know the field, CnOCR offers a range of pretrained models for different scenes and lets you train your own with its commands. The repository also holds a Streamlit version of the demo besides the Gradio one. ```flow You give the app a picture with text CnOCR runs a recognition model on it The recognised text shows on the page ``` Good to know: - It reads common characters in English, numbers and Chinese, plus vertical text, and some models cover Traditional Chinese - The Space runs on the basic CPU hardware at Hugging Face, so large pictures may take a while - License: apache-2 - Cost to run: none named - Data it reaches: the pictures you give it ## On Hugging Face, 13 November 2026 - Likes: 47 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/breezedeus/CnOCR-Demo - Files: https://huggingface.co/spaces/breezedeus/CnOCR-Demo/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [breezedeus/CnOCR-Demo on Hugging Face](https://huggingface.co/spaces/breezedeus/CnOCR-Demo) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | CnOCR Demo (this page) | 47 | gradio | apache-2.0 | 2025-06-28 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2025-06-28 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open breezedeus/CnOCR-Demo on Hugging Face](https://huggingface.co/spaces/breezedeus/CnOCR-Demo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/6ff94e6e-fb52-4cf4-b0c2-e69a251ffb1a) - [Its page on Mindket](https://mindket.com/p/6ff94e6e-fb52-4cf4-b0c2-e69a251ffb1a)