--- title: "Bill Information Extraction" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/af7511a9-5ef5-4044-bf30-41293aabf36c" updated: "2026-11-13" --- # Bill Information Extraction > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. Bill Information Extraction is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Theivaprakasham ## 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. ```sh 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. ```sh 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. ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```sh python app.py ``` ```table 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. ```flow 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [Theivaprakasham/layoutlmv2_sroie on Hugging Face](https://huggingface.co/spaces/Theivaprakasham/layoutlmv2_sroie) ## 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 | | --- | --- | --- | --- | --- | | Bill Information Extraction (this page) | 5 | gradio | apache-2.0 | 2026-06-26 | | [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, from 2026-11-12 to 2026-11-13. ## 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: 2026-06-26 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Theivaprakasham/layoutlmv2_sroie on Hugging Face](https://huggingface.co/spaces/Theivaprakasham/layoutlmv2_sroie) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/af7511a9-5ef5-4044-bf30-41293aabf36c) - [Its page on Mindket](https://mindket.com/p/af7511a9-5ef5-4044-bf30-41293aabf36c)