Voicebox vs meetily

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.

22nd of 16 in Voice

Voicebox

Local voice studio for cloning, TTS, dictation and agent speech

69 out of 100
#44th of 16 in Voice

meetily

Desktop app that records, transcribes and summarizes meetings locally

Verdict

Voicebox ranks higher, 69 to 64. Of the 5 score parts we measure for both, Voicebox leads on 2, meetily on 2 and 1 is even.

  • AdoptionVoicebox leads by 26 points, 81 to 55: a wide gap.
  • FreshnessEven at 100.
  • Maintenancemeetily leads by 10 points, 64 to 54.
  • Easy to runVoicebox leads by 17 points, 67 to 50: a wide gap.
  • Agent-readymeetily leads by 40 points, 40 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 meetily if you are

Professionals who want private, local meeting transcription and notes

  • Transcription runs on-device with Whisper or Parakeet; no cloud needed
  • Summary provider is selectable, including local Ollama or a custom OpenAI-compatible endpoint
Voicebox vs meetily: score parts and facts
What we compareVoiceboxmeetily
Score parts, out of 100
Adoption81, widely used55, popular
Freshness100, active100, active
Maintenance54, fair64, fair
Easy to run67, easy50, easy
Agent-ready0, none40, minimal
Facts from GitHub and the README
Stars57.4k31.7k
LicenseMIT (permissive)MIT (permissive)
Last commitOct 2026Sep 2026
Last releaseApr 2026Sep 2026
LanguagePythonRust
DockerYesNo
GPUOptionalOptional
arm64 or Apple SiliconMentionedMentioned

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

meetily

Meetily is a Tauri desktop app with a Rust backend and a Next.js frontend. It captures microphone and system audio, transcribes on-device with Whisper or Parakeet models, and generates summaries through Ollama, Claude, Groq, OpenRouter, or any OpenAI-compatible endpoint. Installers exist for Windows and macOS; Linux requires a source build.

Who it is for: Professionals who want private, local meeting transcription and notes

Strengths

  • Transcription runs on-device with Whisper or Parakeet; no cloud needed
  • Summary provider is selectable, including local Ollama or a custom OpenAI-compatible endpoint
  • Records microphone and system audio together with mixing
  • Imports existing audio files and re-transcribes with another model or language (beta)

Weaknesses

  • No prebuilt Linux package; must build from source
  • Speaker diarization is not in the community edition; planned for PRO
  • Custom summary templates, advanced exports and auto-join are PRO-only
  • Standard Windows installer uses Vulkan; CUDA needs a source build
  • GPU optional
  • Needs Ollama (optional, for local summaries)
  • Models: Whisper, Parakeet (ONNX), Ollama, Claude, Groq

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