Voicebox vs buzz
Two of the top projects in Voice, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
Voicebox
Local voice studio for cloning, TTS, dictation and agent speech
buzz
Offline desktop app for transcribing and translating audio with Whisper
Verdict
Voicebox ranks higher, 70 to 68. Of the 3 score parts we measure for both, Voicebox leads on 1, buzz on 1 and 1 is even.
- AdoptionVoicebox leads by 47 points, 83 to 36: a wide gap.
- FreshnessEven at 100.
- MaintenanceWe do not score buzz on this; Voicebox has 54.
- Easy to runWe do not score buzz on this; Voicebox has 67.
- Agent-readybuzz leads by 70 points, 70 to 0: a wide gap.
Pick Voicebox if you are
Individuals wanting local voice cloning, TTS and dictation
- Eight switchable TTS engines; Chatterbox Multilingual covers 23 languages
- REST API plus HTTP and stdio MCP server for Claude Code, Cursor, Windsurf
Pick buzz if you are
People transcribing or subtitling audio and video locally on their own computer
- Runs offline; transcription and translation stay on the local machine
- Several Whisper backends: Whisper.cpp with Vulkan, CUDA, Apple Silicon, Hugging Face models
| What we compare | Voicebox | buzz |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 83, widely used | 36, known |
| Freshness | 100, active | 100, active |
| Maintenance | 54, fair | Not scored for this kind |
| Easy to run | 67, easy | Not scored for this kind |
| Agent-ready | 0, none | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 57.5k | 22k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Apr 2026 | Aug 2026 |
| Language | Python | Python |
| Docker | Yes | No |
| GPU | Optional | Optional |
| arm64 or Apple Silicon | Mentioned | Not stated |
Voicebox
Desktop app (Tauri) and Docker service that clones voices from a short sample and generates speech through eight TTS engines, including Qwen3-TTS, Chatterbox and Kokoro, in 23 languages. Adds Whisper dictation with a global hotkey, a REST API on port 17493 and an MCP server so coding agents can speak in a cloned voice. For individuals who want ElevenLabs-style voice I/O on their own machine.
Who it is for: Individuals wanting local voice cloning, TTS and dictation
Strengths
- Eight switchable TTS engines; Chatterbox Multilingual covers 23 languages
- REST API plus HTTP and stdio MCP server for Claude Code, Cursor, Windsurf
- Runs on MLX, CUDA, ROCm, DirectML, Intel Arc or CPU
- Auto-chunking with crossfade handles scripts up to 50,000 characters
Weaknesses
- No prebuilt Linux binaries; build from source or use Docker
- Only Chatterbox Turbo honors tags like [laugh]; other engines read them aloud
- Dictation auto-paste and the permission flow are macOS-specific
- Docker deployment gets one line in the README; details are in external docs
- GPU optional
- Docker + Compose
- Models: Qwen3-TTS 0.6B/1.7B, Qwen CustomVoice, Qwen VoiceDesign, LuxTTS, Chatterbox Multilingual
- port 17493
- README: alternative to ElevenLabs
buzz
Buzz is a desktop app that transcribes and translates audio and video files, YouTube links, or live microphone input with OpenAI's Whisper, on the local machine. It supports several Whisper backends (Whisper.cpp with Vulkan, CUDA, Apple Silicon, Hugging Face models) and exports to TXT, SRT and VTT. It also has a CLI, a watch folder and a plugin system.
Who it is for: People transcribing or subtitling audio and video locally on their own computer
Strengths
- Runs offline; transcription and translation stay on the local machine
- Several Whisper backends: Whisper.cpp with Vulkan, CUDA, Apple Silicon, Hugging Face models
- Speaker identification and speech separation for noisy audio
- CLI and watch folder allow scripted or automatic transcription
Weaknesses
- Current releases require Apple silicon; last Intel Mac version is 1.4.5
- Windows installer is unsigned and triggers a security warning
- PyPI install needs ffmpeg, Python 3.12 and manual torch CUDA setup for GPU
- Export formats listed are only TXT, SRT and VTT
- GPU optional
- Needs ffmpeg (PyPI install), Python 3.12 (PyPI install)
- Models: Whisper, Whisper.cpp, Hugging Face Whisper-type models
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