voicestudio 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.
voicestudio
Desktop app for voice cloning, dubbing and dictation with local speech models
meetily
Desktop app that records, transcribes and summarizes meetings locally
Verdict
voicestudio ranks higher, 82 to 67. Of the 5 score parts we measure for both, voicestudio leads on 3, meetily on none and 2 are even.
- Adoptionvoicestudio leads by 27 points, 93 to 66: a wide gap.
- FreshnessEven at 100.
- Maintenancevoicestudio leads by 33 points, 97 to 64: a wide gap.
- Easy to runEven at 50.
- Agent-readyvoicestudio leads by 45 points, 85 to 40: a wide gap.
Pick voicestudio if you are
Creators and self-hosters who want local voice cloning, dubbing and dictation
- Covers cloning, voice design, dubbing, dictation and audiobooks in one app
- CUDA on NVIDIA, Metal on Apple Silicon, and a CPU fallback
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
| What we compare | voicestudio | meetily |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 93, widely used | 66, popular |
| Freshness | 100, active | 100, active |
| Maintenance | 97, healthy | 64, fair |
| Easy to run | 50, easy | 50, easy |
| Agent-ready | 85, ready | 40, minimal |
| Facts from GitHub and the README | ||
| Stars | 68.9k | 31.8k |
| License | AGPL-3.0 (copyleft) | MIT (permissive) |
| Last commit | Oct 2026 | Sep 2026 |
| Last release | Sep 2026 | Sep 2026 |
| Language | Python | Rust |
| Docker | Yes | No |
| GPU | Optional | Optional |
| arm64 or Apple Silicon | Mentioned | Mentioned |
voicestudio
VoiceStudio is an Electron desktop app with a Python backend for voice cloning, text-described voice design, timed video dubbing, dictation, transcription and audiobook creation. The default engine is k2-fsa/OmniVoice, with other engines selectable and models installed through a Model Manager. It also exposes a local API and an MCP server for agents.
Who it is for: Creators and self-hosters who want local voice cloning, dubbing and dictation
Strengths
- Covers cloning, voice design, dubbing, dictation and audiobooks in one app
- CUDA on NVIDIA, Metal on Apple Silicon, and a CPU fallback
- Local API and MCP for agents, plus watch folders and reusable recipes
- Installers for macOS, Windows and Linux, plus Docker
Weaknesses
- AGPL-3.0 app licence; model weights and voices carry separate terms
- CPU-only use is slower; CPU PyTorch setup needs about 5 GB disk
- Intel Mac runs the UI only and needs a remote backend
- Windows on ARM is experimental and CPU only
- GPU optional
- Docker + Compose
- Needs Electron, Python, PyTorch, Bun (source build), Node.js 22+ (source build)
- Models: k2-fsa/OmniVoice
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
More in Voice
Building with these?
We help teams pick an open-source AI stack and run it in production. Client work never changes a rank.