Ai Dubbing - Dub Video Into Any Language
Dub any video into any language, right on your desktop.
What it does
Dub any video into any language — no cloud upload, no editing skills needed. AI Dubbing Studio handles transcription, context-aware translation, realistic TTS voices, and burned-in captions in one desktop app. Import → translate → generate → export in four simple steps. Try it free for 3 days (3 dubs/day), then go lifetime ($50) or monthly ($10). Perfect for creators localizing content fast, privately, and affordably.
AI Dubbing Studio is a free AI dubbing app that transcribes, translates, and dubs any video with realistic AI voices and burned-in, word-highlighted captions across 72 languages.
AI Dubbing Studio transcribes, translates, and dubs your videos with realistic AI voices and word-highlighted burned-in captions across 72 languages — with the whole script editable before you generate a single line. No watermark, no sign-up required. AI Dubbing Studio combines every step of the video localization workflow into one desktop application — no video editor and no voice actor required. AI Dubbing Studio listens to your source video or audio and generates an accurate, word-level timed transcript automatically using Whisper, via your own Groq or OpenAI API key. This forms the foundation for translation and dubbing, and it works across noisy backgrounds, multiple speakers, and a…from aidubbing.click
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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.
AI · 17d ago · simedw.com
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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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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


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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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