--- title: "Unlimited OCR" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/f408cc7b-d9cf-4bbf-b06e-a322d4f06740" updated: "2026-11-12" --- # Unlimited OCR > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. Unlimited OCR is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by baidu ## 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. ```sh 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 ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```flow 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [baidu/Unlimited-OCR on Hugging Face](https://huggingface.co/spaces/baidu/Unlimited-OCR) ## 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 | | --- | --- | --- | --- | --- | | Unlimited OCR (this page) | 510 | gradio | mit | 2026-06-24 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | Numbers as Mindket last read them, on 2026-11-12. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · ingve · 2026-06-23](https://news.ycombinator.com/item?id=48643426): Unlimited OCR: One-shot long-horizon parsing - [Bluesky · Tech Trending · 2026-10-30](https://bsky.app/profile/tech-trending.bsky.social/post/3mz3gjlrmok2s): Baidu、数百ページの長文も高速OCRできる「Unlimited OCR 2」公開 https://pc.watch.impress.co.jp/docs/news/2152310.html - [Hacker News · verdverm · 2026-10-24](https://news.ycombinator.com/item?id=50225563): No signs of AI payoff outside the tech sector: llm/transformers may actually be better than prior methods (not my area of expertise) I did see a talk recently of fine-tuning a small LLM specifically for receipt transcription: https://www.youtube.com/watch?v=vDyxCHl-p8s https://github.com/fw-ai/cookbook/tree/main/training/case-st... HF has OCR… - [Bluesky · @strike007.bsky.social · 2026-11-06](https://bsky.app/profile/strike007.bsky.social/post/3mzoj3oeynx2c): 3. baidu/Unlimited-OCR-2 https://huggingface.co/baidu/Unlimited-OCR-2 (4/6) - [Hacker News · johndough · 2026-08-21](https://news.ycombinator.com/item?id=49386733): DeepSeek-v4-flash-vision-exp: There are models specifically for splitting an image into text regions, e.g. PP-DocLayoutV3 https://huggingface.co/PaddlePaddle/PP-DocLayoutV3 I am using a stripped-down minimal version of it which I uploaded here, since I am not a fan of huge dependency trees:… - [Bluesky · @strike007.bsky.social · 2026-11-02](https://bsky.app/profile/strike007.bsky.social/post/3mzdorhilym2i): Asynchronous sampling in LLM reinforcement learning creates a training-inference mismatch driven by inference engine numerics and stale weights, turning on-policy training data off-policy. - [Hacker News · my002 · 2026-08-17](https://news.ycombinator.com/item?id=49336738): Roboflow Playground: Try and Compare 30 Computer Vision Models: Neat\! Looks like an updated version of OCR Arena0, which doesn't seem to have kept up with new models for a bit. Would be nice to see the inclusion of Mistral OCR 4, Baidu's Unlimited-OCR, and OlmOCR2. 0OCR Arena: https://www.ocrarena.ai/ - [Bluesky · デイリーHuggingFaceトレンド · 2026-11-03](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mzgfs5wsp72r): 今日のHuggingFaceトレンド baidu/Unlimited-OCR-2 - [Hacker News · Johnny\_Bonk · 2026-08-13](https://news.ycombinator.com/item?id=49289852): Mistral OCR 4.1: How does this compare to Baidu Unlimited OCR. I've been very impressed with Baidu and it's essentially free to run on a decent computer, other than electricity costs. - [Bluesky · デイリーHuggingFaceトレンド · 2026-11-01](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mzbaziznt22l): 今日のHuggingFaceトレンド baidu/Unlimited-OCR-2 Unlimited OCR Works 2を提供するためのリポジトリです。 単一ページから複数ページにわたる文書まで、ページを跨いだ文脈を保持したまま解析できるUnlimited-Horizon Parsingを実現しています。 TransformersやSGLangを用いた推論をサポートし、高度なOCR処理を目的としています。 - [Hacker News · potsandpans · 2026-07-04](https://news.ycombinator.com/item?id=48786469): Leanstral 1.5: Proof abundance for all: This just dropped: https://huggingface.co/baidu/Unlimited-OCR Which can run comfortably on 12gb of vram. I gave it a whirl and it does seem pretty competitive. I wonder how that compares for your usecase - [Bluesky · 猫国防 · 2026-10-31](https://bsky.app/profile/maoguofang.bsky.social/post/3mz627yxzh22a): Unlimited OCR Works 2: Pioneering the OCR-3.0 Era: From Long- to Unlimited-Horizon Parsing 百度的光学字符识别 Unlimited OCR 模型升级版 - 保持每一步解码的延迟和内存占用几乎保持恒定，不被文档长度影响 - 无限上下文识别 - 到达同类模型的顶尖水平 GitHub: github.com/baidu/Unlimi... Hugging Face: huggingface.co/baidu/Unlimi... ModelScope: modelscope.cn/models/Paddl... ## 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: 2026-06-24 - First published: 2026-06-24 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open baidu/Unlimited-OCR on Hugging Face](https://huggingface.co/spaces/baidu/Unlimited-OCR) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/f408cc7b-d9cf-4bbf-b06e-a322d4f06740) - [Its page on Mindket](https://mindket.com/p/f408cc7b-d9cf-4bbf-b06e-a322d4f06740)