Alternatives
Products that do what I run AI background removal in the browser–no upload,no server does
RMBG-1.4 + SAM running client-side via ONNX Runtime WASM. ~2s on laptop, works on mobile. Your image never leaves the browser. Built this as part of allplix.com. 19yo student in France, solo project. Happy to talk about the WASM pipeline or the pain of running ML models in a browser tab.
- 1IB
Hi HN, Removing the background from images is a surprisingly common image processing task, and AI has made it really easy. The technology has come a long way since segment leader remove.bg launched here on hn in Dec 2018 [1]. Chasing remove.bg's success, a legion of providers have come on the market offering varying levels of quality & service. Despite there being a large number of competing services, most still price for very high (~95%?) gross margins. Furthermore, subscriptions make the effective unit price a lot higher than the list price for infrequent users, and requires effort &…
2023 · pixian.ai
- 2RB
Yesterday,I saw a post in X asking for a self-hostable background remover service. I was thinking, can we make it work by using WebGPU? So it will run in the browser and doesn't require any server/queue to run After a couple of hours, I created this and published the source code on https://github.com/ducan-ne/remove-bg It's still new so welcome any ideas and contributions Powered by WebGPU and Transformer.js (RMBG V1.4 model)
2024 · bannerify.co
- 3AS
Hi HN, author here. SHARP is Apple's recent single-image 3D Gaussian splatting model (https://arxiv.org/abs/2512.10685). Their reference code is PyTorch + a pretty heavy pipeline; I wanted to see if it could run in a browser with no server hop, so I exported the predictor to ONNX and ran it via onnxruntime-web with the WebGPU EP. What works: drop in an image, get a .ply you can download or preview live, all on your machine — your image never leaves the tab. The model is large (~2.4 GB sidecar) so first load is slow on a cold cache, but inference itself is a few seconds on…
May 2026 · github.com
- 4IB
I spent the last few days building out a nicer ChatGPT-like interface to use Mistral 7B and Llama 3 fully within a browser (no deps and installs). I’ve used the WebLLM project by MLC AI for a while to interact with LLMs in the browser when handling sensitive data but I found their UI quite lacking for serious use so I built a much better interface around WebLLM. I’ve been using it as a therapist and coach. And it’s wonderful knowing that my personal information never leaves my local computer. Should work on Desktop with Chrome or Edge. Other browsers are adding WebGPU support as well - see…
2024 · github.com
- 5
- 6WE
Browser LLM demo working on JavaScript and WebGPU. WebGPU is already supported in Chrome, Safari, Firefox, iOS (v26) and Android. Demo, similar to ChatGPT https://andreinwald.github.io/browser-llm/ Code https://github.com/andreinwald/browser-llm - No need to use your OPENAI_API_KEY - its local model that runs on your device - No network requests to any API - No need to install any program - No need to download files on your device (model is cached in browser) - Site will ask before downloading large files (llm model) to browser cache - Hosted on Github…
2025 · andreinwald.github.io
- 7OD
Demo of LOCAL Browser agent (powered by Web GPU Liquid LFM & Alibaba Qwen models) opening the All in Podcast on Youtube running as a chrome extension. Source: https://github.com/RunanywhereAI/on-device-browser-agent Post: https://www.reddit.com/r/LocalLLaMA/comments/1qh10q9/comment... Geting in the support for web sdk soon, meanwhile have full support for mobile sdks : https://github.com/RunanywhereAI/runanywhere-sdks
Jan 2026 · github.com
- 8SF
I've built a thing! A few months back someone (not me) posted my Mac app Droplings to HN. It was incredibly rough around the edges back then, and in alpha. Well, it's finished now and sparkles like crazy. Please take a look! :)
2012 · servus.io
- 9UA
Thanks to the capabilities of WebWorker, WebAssembly, and WebGPU in the browser, we can now run AI models within the browser.
2024 · html.zone
- 10AW
Hey HN, I'm excited to share BrowserBee, a privacy-first AI assistant in your browser that allows you to run and automate tasks using your LLM of choice (currently supports Anthropic, OpenAI, Gemini, and Ollama). Short demo here: https://github.com/user-attachments/assets/209c7042-6d54-4fc... Inspired by projects like Browser Use and Playwright MCP, its main advantage is the browser extension form factor which makes it more convenient for day to day use, especially for less technical users. Its also a bit less cumbersome to use on websites that require you to be…
2025 · github.com
- 11
Our mobile browser's battery optimised AI will secure BYOD
Sep 2025
- 12
- 13BR
Check out this impressive project that enables running LLMs entirely in the browser using WebGPU. Key features: - Zero token costs, no cloud infrastructure required - Complete data privacy through local processing - Simple 3-line code integration - Built on MLC and Transformer.js The benchmarks show smaller models can effectively handle many common tasks. Currently the project roadmap includes: - No-code AI pipeline builder - Browser-based RAG for document chat - Analytics/logging - Model fine-tuning interface
2025 · github.com
- 14
- 15
- 16
- 17
- 18
- 19CI
One of the most frequent questions one faces while running LLMs locally is: I have xx RAM and yy GPU, Can I run zz LLM model ? I have vibe coded a simple application to help you with just that. Update: A lot of great feedback for me to improve the app. Thank you all.
2025 · can-i-run-this-llm-blue.vercel.app
- 20
- 21RA
2025 · private-ai-chat.vercel.app
- 22
- 23
Remove image backgrounds free : transparent PNG in seconds
Jun 2026 · magicbg.org
- 24IM
I made my first macOS utility app that ships with a bundled Gemma 4 model, specifically the Gemma E4B one. It made my app DMG have 5.3 GB in size, but I think it is a small size for the power that this free local model can provide. It runs fine on CPU, but can also run on Apple Silicon GPU, although I did not notice any performance improvements with GPU (tested on a M5 chip). I think these local lightweight and multimodal models will open multiple possibilities for new software tools where privacy is essential.
May 2026 · snapname.app
Ranked by how close each launch is in meaning, then by votes. Refine with a description →