[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f75pv1tlk7o5c":3},{"code":4,"message":5,"data":6,"timestamp":51},10000,"success",{"full_name":7,"position":8,"description":9,"language":10,"stars":11,"forks":12,"stars_gained":13,"age_days":14,"hn_threads":15,"one_liner":22,"summary_md":23,"topic":24,"github_topics":27,"license":47,"homepage":48,"updated_at":49,"history":50},"debpalash\u002FVoiceStudio",1,"VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages.","Python",84297,9314,48343,197,[16],{"id":17,"title":18,"points":19,"comments":20,"posted_at":21},49706572,"VoiceStudio – local open-source ElevenLabs alternative",6,0,"2026-09-15","A local desktop app for voice cloning, dubbing and transcription, aimed at creators who want ElevenLabs-style output without sending audio to a cloud service.","## The problem\n\nVoice cloning and dubbing are now good enough for real production work, but the convenient tools are hosted services: your recordings upload to someone else's server, pricing is per character, and long batch jobs get expensive or rate-limited. VoiceStudio packages local speech models into a desktop app so cloning, dubbing, dictation and audiobook generation run on your own machine, with an optional local API and MCP endpoint for scripting.\n\n## What's different\n\nThe obvious comparison is ElevenLabs, which wins on polish and voice quality but owns your data and bills by usage. Open-source alternatives like Coqui TTS or Piper give you local synthesis, but they are libraries you assemble yourself; VoiceStudio is the assembled product — a workspace UI, a model manager, and multiple interchangeable engines (defaulting to k2-fsa\u002FOmniVoice per the README). Its genuinely distinct pieces are the breadth of workflows in one shell (cloning, design, timed video dubbing, dictation widget, audiobooks) and the local API\u002FMCP surface that lets agents drive the same voice pipeline. The README does not publish independent quality benchmarks here, so treat the engine catalog as a claim worth testing rather than a guarantee.\n\n## Who it's for\n\nPodcasters, video creators and small studios with a decent GPU or Apple Silicon machine who process sensitive or bulk audio and are willing to trade some convenience for control. Also reasonable for developers building voice features who want a local backend. Look elsewhere if you need guaranteed studio-grade voice fidelity today, if you are on an Intel Mac (README says UI only, remote backend required), or if AGPL-3.0 is incompatible with how you ship software.\n\n## Cost of adoption\n\nYou need real local resources: CUDA or Metal for acceleration, a multi-gigabyte model download, and roughly 5 GB free disk for the CPU PyTorch build if you have no GPU. Installation is a shell one-liner on macOS\u002FLinux and a PowerShell equivalent on Windows, with `.dmg`\u002F`.exe`\u002F`.AppImage`\u002F`.deb` releases. The project replaced its Tauri shell with Electron at 0.5.3, so older installs must migrate. It is young (created April 2026), and the AGPL license plus a CLA for contributors are constraints to check before embedding it in a commercial product.\n\n## Verdict\n\nVoiceStudio is a brand-new project with an unusually large star count for its age — 84k stars in under 200 days and a #1 monthly board gain of +48,343 — but the Hacker News reception was thin (6 points, no comments), which suggests the growth is more repository-badge and social than practitioner-validated. The feature scope in the README is ambitious and the engineering looks substantial, yet a 197-day-old project that already swapped its desktop shell once deserves a cautious first pass. Try it on one real dubbing job before committing your workflow; the local-first model is a genuine advantage, but maturity is the open question.",{"slug":25,"name":26},"media","Media & Design",[28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"ai","audiobook","cuda","dubbing","elevenlabs-alternative","huggingface","local-first","mlx","omnivoice-studio","speech-to-text","text-to-speech","transcription","translate","tts","voice-ai","voice-cloning","voice-generation","voicestudio","workflow","AGPL-3.0","https:\u002F\u002Fvoicestudio.sh","2026-10-24T14:09:24Z",[],1792864179]