Bill Information Extraction

Bill Information Extraction

A Gradio app that pulls information out of a bill or receipt image with a LayoutLMv3 model fine-tuned on sroie. Suits developers and students who want to try document extraction 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: Bill Information Extraction is a Gradio app by Theivaprakasham. It names one model, Theivaprakasham/layoutlmv3-finetuned-sroie, a LayoutLMv3 model fine-tuned on sroie. By its title, the app reads information from a bill picture. The page has no description, so the fields it returns are not confirmed.

Who it suits: Developers and students working on document understanding who want to see a LayoutLMv3 model read a bill, 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 extractor | Point it at a different fine-tuned model
Education | Document AI students | Run the demo and read app.py to see how the model is called | Try it on a clean receipt picture
Finance and admin | Teams with paper bills | Check how a model reads their bills before building a pipeline | Test one scanned bill

Skip it if you need guaranteed accurate figures from bills, because model output must be checked by a person.

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 bill reading online | Anyone curious | The information the model extracts from your image
Study a document model demo | Students | A short Python project built around one model

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/layoutlmv2_sroie --repo-type space --local-dir layoutlmv2_sroie
cd layoutlmv2_sroie
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 picture of a bill. 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 give it a clear photo of a receipt. The app should return the information its model finds on it. The page does not list the fields, so check them against the receipt yourself.

For newcomers and experts: If you are new to this, try a sharp, flat photo of a receipt and compare what comes back with the paper. Use only bills you have the right to share.

If you know the field, the app uses a LayoutLMv3 token classifier fine-tuned on sroie, which suggests it labels words on the page by position and text. The page gives no scores, label list or limits.

A bill image goes in
Text and positions are read
The LayoutLMv3 model labels them
Gradio shows the result

Good to know:

• The page gives no description, field list or accuracy figures.
• 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 bill image you give it. On the hosted Space, that image is handled on Hugging Face, so avoid private bills.
• Not for: the source names none. Check every extracted figure before you use it.

On Hugging Face, 13 November 2026

• Likes: 5
• Built with: gradio
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/Theivaprakasham/layoutlmv2_sroie
• Files: https://huggingface.co/spaces/Theivaprakasham/layoutlmv2_sroie/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.