RemoveBGAI
Remove image backgrounds — entirely in your browser
What it does
RemoveBGAI removes image backgrounds instantly — no server, no uploads, no account required. The model runs entirely in your browser using ONNX Runtime Web and Web Workers. Your images never leave your device. Works on product photos, portraits, signatures, logos, and more. Free forever. No watermarks. No file size tricks.
Remove background from any image free online. No signup, no watermark, full HD quality. Transparent PNG download in seconds — 100% private, runs in your browser.
Remove background from any image in seconds — free, no signup required, no watermark. Download a full HD transparent PNG or white background version instantly. Upload an image, let the background remover process it, then export a transparent PNG or a clean white background version for the final use case. Start with a product photo, portrait, logo, signature, or any image that needs a cleaner background. Let the tool isolate the subject, keep the edge clean, and prepare the image for download or quick editing. Export a transparent PNG, switch to a white background, or keep the cutout ready for your next workflow. From creators and ecommerce teams to agencies and internal business workflows,…from removebgai.in
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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