Voicebox vs Speech-to-Speech
Two of the top voice, side by side: score, setup, license, activity and what each review found.
Voicebox
Local voice studio for cloning, TTS, dictation and agent speech
Speech-to-Speech
Modular voice-agent pipeline exposed through the OpenAI Realtime API
| What we compare | Voicebox | Speech-to-Speech |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 86, widely used | 52, popular |
| Freshness | 100, active | 100, active |
| Maintenance | 54, fair | 94, healthy |
| Easy to run | 67, easy | 50, easy |
| Agent-ready | 0, none | 30, minimal |
| Facts from GitHub and the README | ||
| Stars | 56.9k | 13.4k |
| License | MIT (permissive) | Apache-2.0 (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Apr 2026 | Sep 2026 |
| Language | Not stated | Python |
| Docker | Yes | Yes |
| GPU | Optional | Optional |
| arm64 or Apple Silicon | Mentioned | Mentioned |
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
Speech-to-Speech
Runs a VAD, STT, LLM and TTS cascade, with each stage in its own thread and every backend swappable by CLI flag. It serves the core OpenAI Realtime event set over WebSocket and WebRTC, so existing Realtime clients can point at it. Defaults are Parakeet TDT for speech recognition and Qwen3-TTS for speech output, with the LLM running locally or through any OpenAI-compatible endpoint.
Who it is for: Developers building self-hosted voice agents or Realtime API backends
Strengths
- Implements core OpenAI Realtime events over WebSocket and WebRTC, so client swaps are easy
- Fully local on Apple Silicon (MLX) or NVIDIA CUDA, with no API key needed
- Many interchangeable STT and TTS backends, including Whisper, Kokoro, Pocket TTS and OmniVoice
- Apache-2.0, installable from PyPI, with a packaged microphone client
Weaknesses
- Qwen3-TTS GGML wheel targets CUDA 12.8 and glibc 2.39 by default
- Fully local NVIDIA setup budgets about 24 GB VRAM; the README calls this an estimate
- Only the core Realtime event set is implemented, not the full API
- Some extras conflict, e.g. DeepFilterNet needs numpy<2 while Pocket TTS needs numpy>=2
- RAM ≥ 16 GB
- GPU optional
- Docker + Compose
- Needs OpenAI-compatible LLM server (optional), PortAudio and libsndfile on Ubuntu
- Models: Parakeet TDT, Qwen3-TTS, Whisper, Kokoro-82M, Transformers LLMs
- port 8765