
TranscribeAudio
Real-time audio-to-text for any browser tab
What it does
Transcribe any browser tab in real-time with this Chrome extension. Whether it's Zoom, YouTube, or a podcast, get instant captions in a movable floating window. Global Reach: Supports 50+ languages via OpenAI. Versatile: Ideal for meetings, lectures, and language learning. Fast Start: One click to begin. Try the live demo on our homepage—no install required! Pricing: Free to install. Starter plans start at just $4.99/mo. Use LAUNCH22 for 1 month free!
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- LILive in-browser AI transcription and translation2024 · github.com · ▲15
A realtime, live transcription and translation app that works locally using a browser. Built with Huggingface Transformer.js and Supabase Realtime. Realtime in-browser speech-to-text with OpenAI Whisper! Broadcast to subscribed clients with Supabase Realtime. Translate to 200 languages with Meta's NLLB-200! Demo & source code https://supabase.link/realtime-ai-yt Shoutout to @xenovacom for building Transformers.js and providing plenty of examples at https://huggingface.co/docs/transformers.js/en/index#example...

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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…
AI · 28d ago · cactuscompute.com

