Unlimited OCR

Unlimited OCR

Reads text from pictures and documents with Baidu's Unlimited-OCR model in a Gradio page, on ZeroGPU hardware at Hugging Face. For people who need text pulled out of images.

Made by baidu 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: Unlimited OCR is a Gradio demo from Baidu for the Unlimited-OCR model, which reads text out of images. It runs on ZeroGPU hardware, so you can try it in a browser with nothing to install. The repository is small, with app.py, an index.html file and requirements.txt.

Who it suits: It suits anyone who needs the text out of a photo, scan or screenshot, and developers who want to try Baidu's OCR model before using it.

Industry | Who uses it | How they use it | Example
Office work | Administrators | Pull text out of scanned pages | Upload a scanned page and copy the text
Software | Developers | Test an OCR model on their own samples | Try a screenshot with small text
Research | Researchers | Check how the model handles different documents | Compare results across a few images

If your documents are already text files, you can skip it.

Where to use it:

• A web browser, on the Space's page on Hugging Face
• A local copy of the files, run on Python 3.10 under Windows, macOS or Linux

Use case | Who | What they get back
Extract text | Anyone | The text found in a picture
Test the model | Developers | A first look at the OCR quality on their samples
Study the code | Developers | A short app.py that calls the model

How to set it up:

• A web browser, which is all the online page needs
• Python 3.10 and the packages in requirements.txt, for a local copy

1. Open the Space's page on Hugging Face to use it online. Nothing needs installing.
2. For a local copy, install the Hugging Face hub package and download the Space's files.
3. Move into the downloaded folder.
4. Install Gradio 6.19.0, then the packages from requirements.txt.
5. Start the app with python app.py.

pip install -U huggingface_hub
hf download baidu/Unlimited-OCR --repo-type space --local-dir Unlimited-OCR
cd Unlimited-OCR
pip install gradio==6.19.0
pip install -r requirements.txt
python app.py

How to use it: Open the page, or the one your local copy starts, and give it an image to read. The README lists no controls, so follow what the page shows.

Example: Upload a photo of a printed page. The page runs the OCR model and returns the text it finds in the picture.

For newcomers and experts: Open the Space page and try a clear photo of a printed page first. A sharp, well-lit picture is the easiest case, and it shows what the model does before you try harder ones.

The Space names one model, baidu/Unlimited-OCR, and runs on ZeroGPU hardware with Python 3.10 and Gradio 6.19.0. The README is only a configuration header, so limits, supported languages and file types are not documented, and app.py is the place to read.

You give the page an image
app.py passes it to the OCR model
The model reads the text
The page shows the text it found

Good to know: The README gives no limits or settings, so those details are not documented.

• License: MIT
• Cost to run: none named, and the online copy runs on ZeroGPU hardware
• Data it reaches: the images you give it and the baidu/Unlimited-OCR model

On Hugging Face, 13 November 2026

• Likes: 510
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/baidu/Unlimited-OCR
• Files: https://huggingface.co/spaces/baidu/Unlimited-OCR/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.