YOLOv10 Document Layout Analysis

YOLOv10 Document Layout Analysis

A Gradio app that analyzes the layout of a document with a YOLOv10 model, for people who want to see page layout detection run in a browser or on their own computer.

Made by omoured 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: YOLOv10 Document Layout Analysis is a small Gradio app that, going by its title, studies the layout of a document with a YOLOv10 model. Layout analysis means finding where the parts of a page sit. The repository holds the app code and a models folder.

Who it suits: It suits people who handle documents and want to see layout detection working before they build anything around it.

Title: Who might use this app
Industry | Who uses it | How they use it | Example
Document processing | Developers | Try a layout model before building a pipeline around it | Run one sample page through the app
Computer vision | Students | See a YOLOv10 model applied to documents | Open the Space and test a page of your choice
Digitization | Records and archive teams | Check how a layout model reads their pages | Try a page from a scanned file

If you need an API for batch jobs, you can skip it, since the notes describe none.

Where to use it: You can use it online or on your own machine.

• Web browser: the Space's page on Hugging Face, with nothing to install
• Windows, macOS or Linux: a local copy that runs with Python
• Hugging Face Spaces: where the hosted app runs, on the cpu-basic hardware tier

Title: What the app is good for
Use case | Who | What they get back
Try layout detection online | Anyone curious | The app's analysis of a page you supply
Run it locally | Developers | A copy of the app running on their own machine
Test YOLOv10 on documents | Students | A look at what the model makes of a page

How to set it up: The hosted app needs nothing. A local copy needs Python and pip.

• Python, with pip
• The Python packages that requirements.txt lists

1. Install the huggingface_hub package.
2. Download the Space's files into a folder.
3. Move into that folder.
4. Install Gradio 4.32.2.
5. Install the packages from requirements.txt.
6. Start the app with Python.

pip install -U huggingface_hub
pip install gradio==4.32.2
pip install -r requirements.txt
python app.py

Put your own value in its key setting first.

How to use it: Open the Space online, or start your copy with the command below. Then use the controls on the page to supply a document and read what the app returns.

python app.py

Title: The files you will meet
Tool | What it does
app.py | Starts the Gradio page when you run it with Python
requirements.txt | Lists the Python packages the app needs
models | A folder in the repository that sits beside the app code

Example: You open the Space, give it one page of a document and let the YOLOv10 model analyze it. The page then shows what the model found about that page's layout.

For newcomers and experts: If you are new to this, open the Space and try one page first. Then try a page with a more complicated layout and compare what comes back.

If you know the field, the title names YOLOv10 as the detector, and the front end is Gradio 4.32.2. The hosted copy runs on cpu-basic hardware, so inference there happens on a CPU. The notes give no training details or class list.

Open the Space or run app.py
Supply a page from a document
The YOLOv10 model analyzes its layout
You read the result on the page

Good to know: The Space's notes say little about the app, so open it to see exactly what it returns.

• Hosting: the hosted copy runs on cpu-basic hardware
• Notes: the README only points to Hugging Face's configuration reference
• License: cc-by-4
• Cost to run: none named
• Data it reaches: the document you supply, plus the Python packages pip installs from requirements.txt

On Hugging Face, 13 November 2026

• Likes: 45
• Built with: gradio
• License: cc-by-4.0

Links

• Space: https://huggingface.co/spaces/omoured/YOLOv10-Document-Layout-Analysis
• Files: https://huggingface.co/spaces/omoured/YOLOv10-Document-Layout-Analysis/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.