Document Layout Detection

Document Layout Detection

A Gradio app that detects the layout of a document page image, with two example pages included. Suits developers and students who want to try layout detection in a browser.

Made by Theivaprakasham 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: Document Layout Detection is a Gradio app by Theivaprakasham. By its name, it finds the layout of a document page picture. The repository has two example page images beside the app code. The page has no description, so the layout parts it marks are not confirmed.

Who it suits: Developers and students working with scanned documents who want to see layout detection on a page, or who want a short Gradio example to adapt.

Industry | Who uses it | How they use it | Example
Software | Developers | Use the project as a pattern for a Gradio document demo | Replace the example pages with their own scans
Education | Document AI students | Run the demo and read app.py to see how detection is called | Try the two bundled pages
Office work | Teams with scanned paper | Check how a layout model reads their pages before building a pipeline | Test one scanned page

Skip it if you need text read out of a page, because the name describes layout detection, not reading text.

Where to use it:

• A web browser, on the Space's page on Hugging Face
• Python 3.10 on Windows, macOS or Linux, using a downloaded copy

Use case | Who | What they get back
Try layout detection online | Anyone curious | The app's marking of the page's layout
Study a small document demo | Students | A short Python project with two example pages

How to set it up:

• Nothing to install for the online version
• Python 3.10 for a local copy
• The packages listed in requirements.txt
• The system packages in packages.txt, which the hosted Space installs with apt-get

1. Install the Hugging Face hub package.
2. Download the Space's files to a folder.
3. Move into that folder.
4. Install gradio 5.29.0, then the packages from requirements.txt.
5. Start the app with app.py.

pip install -U huggingface_hub
hf download Theivaprakasham/layoutdetection --repo-type space --local-dir layoutdetection
cd layoutdetection
pip install gradio==5.29.0
pip install -r requirements.txt
python app.py

How to use it: Open the Space page in a browser and give it a page image, or pick one of the two bundled examples. For a local copy, run the app and open the page Gradio opens for you.

python app.py

Tool | What it does
python app.py | Starts the Gradio app on your computer
hf download | Copies the Space's files into a local folder

Example: Open the Space and choose the first bundled page. The app should show the layout it detects on that page. The page does not say how results are drawn or named, so rely on what it shows.

For newcomers and experts: If you are new to this, try the two bundled pages first, then a scan of your own. Only use documents you have the right to upload.

If you know the field, the page names no model, label set or score threshold. It pins Gradio 5.29.0 and Python 3.10, so read app.py for the actual method before you rely on it.

A page image goes in
The app detects layout regions
Regions are marked on the page
Gradio shows the result

Good to know:

• The page gives no description, accuracy figures or limits on page size.
• The online version needs nothing installed, and a local copy needs Python 3.10.
• License: apache-2.
• Cost to run: none named, only the packages in requirements.txt and packages.txt.
• Data it reaches: the page image you give it. On the hosted Space, that image is handled on Hugging Face.
• Not for: reading page text. The source describes layout detection only.

On Hugging Face, 13 November 2026

• Likes: 6
• Built with: gradio
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/Theivaprakasham/layoutdetection
• Files: https://huggingface.co/spaces/Theivaprakasham/layoutdetection/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.