anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Runs the Apertus Mini model on your own machine inside a web browser, using WebGPU, with no server to set up. It suits developers and curious users who want to try a small model locally.
Apertus Mini WebGPU is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download swiss-ai/apertus-mini-webgpu --repo-type space --local-dir apertus-mini-webgpu cd apertus-mini-webgpu
Apertus Mini WebGPU is a static web page that runs the Apertus Mini model locally in your browser. It uses WebGPU, the browser's graphics interface, so the work happens on your own machine. The Space mirrors a GitHub project where the author takes issues and pull requests.
Developers, researchers and curious users who want to try a small model without installing a server or sending anything to a hosted service. It also suits front-end developers studying in-browser model code.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software | Front-end developers | Study how a model runs in a page with WebGPU | Read index.html to see how the page is built |
| Research | Machine learning researchers | Try a small model locally with no setup | Open the page and test the model on their GPU |
| Education | Students and teachers | Show a model running on a laptop browser | Demonstrate local inference in class |
| Hobby | Curious users | Try an open model without an account | Open the page and see it run |
If you need a large model or a hosted API for many users, you can skip it.
| Use case | Who | What they get back |
|---|---|---|
| Try the model with no setup | Anyone | The model running in a browser tab on your own machine |
| Study in-browser inference | Developers | A small static page that holds the code to read |
| Demonstrate local models | Teachers | A model that runs without a server |
To use it online you need nothing but a browser that supports WebGPU. To keep a copy you need Python and pip for the download.
pip install -U huggingface_hub hf download swiss-ai/apertus-mini-webgpu --repo-type space --local-dir apertus-mini-webgpu cd apertus-mini-webgpu
Open the Space in your browser, or load index.html from your downloaded copy. The page runs the model on your own machine through WebGPU. The source gives no further controls, so use the page as it opens.
cd apertus-mini-webgpu
You open the Space in a browser that supports WebGPU. The page starts the Apertus Mini model on your own graphics hardware, with no remote server doing the work.
If you are new to this, open the Space in a recent desktop browser and let the page load. Everything happens on your machine, so a slower computer may take longer.
If you know the field, this is a model running client side through WebGPU, which moves inference off any server. The trade is that speed and memory depend on the visitor's own hardware and browser. The repository is small, holding an index page, a logo and an assets folder.
Runs the Apertus Mini model on your own machine inside a web browser, using WebGPU, with no server to set up. It suits developers and curious users who want to try a small model locally.
Made by swiss-ai 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.
What it is: Apertus Mini WebGPU is a static web page that runs the Apertus Mini model locally in your browser. It uses WebGPU, the browser's graphics interface, so the work happens on your own machine. The Space mirrors a GitHub project where the author takes issues and pull requests.
Who it suits: Developers, researchers and curious users who want to try a small model without installing a server or sending anything to a hosted service. It also suits front-end developers studying in-browser model code.
Title: Who runs models in the browser
Industry | Who uses it | How they use it | Example
Software | Front-end developers | Study how a model runs in a page with WebGPU | Read index.html to see how the page is built
Research | Machine learning researchers | Try a small model locally with no setup | Open the page and test the model on their GPU
Education | Students and teachers | Show a model running on a laptop browser | Demonstrate local inference in class
Hobby | Curious users | Try an open model without an account | Open the page and see it run
If you need a large model or a hosted API for many users, you can skip it.
Where to use it:
Use case | Who | What they get back
Try the model with no setup | Anyone | The model running in a browser tab on your own machine
Study in-browser inference | Developers | A small static page that holds the code to read
Demonstrate local models | Teachers | A model that runs without a server
How to set it up: To use it online you need nothing but a browser that supports WebGPU. To keep a copy you need Python and pip for the download.
pip install -U huggingface_hub
hf download swiss-ai/apertus-mini-webgpu --repo-type space --local-dir apertus-mini-webgpu
cd apertus-mini-webgpu
How to use it: Open the Space in your browser, or load index.html from your downloaded copy. The page runs the model on your own machine through WebGPU. The source gives no further controls, so use the page as it opens.
cd apertus-mini-webgpu
Example: You open the Space in a browser that supports WebGPU. The page starts the Apertus Mini model on your own graphics hardware, with no remote server doing the work.
For newcomers and experts: If you are new to this, open the Space in a recent desktop browser and let the page load. Everything happens on your machine, so a slower computer may take longer.
If you know the field, this is a model running client side through WebGPU, which moves inference off any server. The trade is that speed and memory depend on the visitor's own hardware and browser. The repository is small, holding an index page, a logo and an assets folder.
You open the page in a browser
The browser uses WebGPU
Apertus Mini runs on your machine
Good to know:
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.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Apertus Mini WebGPU This page | 12 | static | mit | |
| InferenceSupportShares static | 764 | static | afl-3.0 | |
| HuggyShares static | 463 | static | cc-by-nc-sa-4.0 | |
| Z-Image Lookalike LoRA IndexShares static | 189 | static | apache-2.0 | |
| Granite Docling 258M WebGPUShares static | 163 | static | apache-2.0 | |
| DINOv3 WebShares static | 162 | static | apache-2.0 |
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Qwen · Kit
Qwen2.5-7B-Instruct as GGUF files in eight quantization sizes, to chat with locally through llama.cpp. For people who want a capable 7.6B model on their own co…
ACE-Step · Kit
Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…
alirezarezvani · Skill
Adds 411 ready-made skills for Claude Code and other coding agents, grouped by role from engineering and product to marketing, finance and compliance. Installs…
block · Kit
Self-hostable workspace where people and AI agents share the same rooms, built on a Nostr relay that logs every action as a signed event. For teams that want t…
backnotprop · Kit
Opens your AI coding agent's plans, specs and code changes in a browser so you can annotate or comment on them and send the feedback straight back to the agent.