Top AI Product

If you’ve been paying for ElevenLabs and quietly resenting the monthly bill, I have good news. [Voicebox](https://voicebox.sh/) just showed up on GitHub Trending and it’s exactly what the local AI crowd has been waiting for: a proper, no-compromises voice cloning app that runs entirely on your machine.

The pitch is simple. Feed it a few seconds of someone’s voice, and it spits out a cloned voice profile you can use to generate speech from any text. It’s powered by Alibaba’s Qwen3-TTS model, which honestly punches way above its weight for an open-source option. The cloning quality is shockingly close to what you’d get from commercial services, and it does it all without sending a single byte of your audio to the cloud.

What really caught my attention, though, is how polished the whole thing feels. This isn’t some hacked-together Python script with a Gradio frontend. [Voicebox](https://github.com/jamiepine/voicebox) is built with Tauri and Rust instead of Electron, which means it’s fast, light, and doesn’t eat your RAM for breakfast. On my M-series Mac, the MLX backend kicks in with native Metal acceleration, and generation is genuinely quick — the team claims 4-5x faster inference on Apple Silicon, and from my testing, that tracks. Windows users get CUDA support through PyTorch, so you’re covered there too.

The feature that really sets it apart from other TTS tools is the DAW-style timeline editor. You can lay out multiple voice tracks, mix dialogue between different cloned voices, trim audio clips, and basically compose entire narrated scenes right inside the app. It also bundles Whisper for transcription, so you can record or import audio and pull text out of it without leaving the window. It feels less like a TTS utility and more like a mini audio production suite.

People on [r/LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/) have been calling it “the Ollama for voice cloning,” and honestly that comparison fits. Download a model once, run everything locally, keep your data private. No subscriptions, no usage caps, no voice samples sitting on someone else’s server. The project just crossed 6.8k stars on GitHub and it’s still climbing. If local-first AI tools are your thing, this one’s worth a look.