voicestudio vs handy
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, dictation and audiobooks
handy
Offline push-to-talk dictation app that pastes transcripts into any text field
Verdict
voicestudio ranks higher, 97 to 89. Of the 4 score parts we measure for both, voicestudio leads on 3, handy on none and 1 is even.
- Adoptionvoicestudio leads by 16 points, 98 to 82: a wide gap.
- FreshnessEven at 100.
- Maintenancevoicestudio leads by 8 points, 98 to 90.
- Agent-readyvoicestudio leads by 15 points, 85 to 70: 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
- Runs on NVIDIA CUDA, Apple Silicon (MPS) or CPU only
Pick handy if you are
Desktop users who want private, local dictation into any app
- Runs fully offline on Windows, macOS and Linux with Whisper or Parakeet models
- Hold-to-talk or toggle shortcuts, plus CLI flags and signals for remote control
| What we compare | voicestudio | handy |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 98, widely used | 82, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 98, healthy | 90, healthy |
| Agent-ready | 85, ready | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 97.4k | 36.1k |
| License | AGPL-3.0 (copyleft) | MIT (permissive) |
| Last commit | Nov 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 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, voice design from text descriptions, timed video dubbing, dictation, transcription and audiobook creation. The default engine is k2-fsa/OmniVoice, and other engines can be selected. 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
- Runs on NVIDIA CUDA, Apple Silicon (MPS) or CPU only
- Local API and MCP server for agent integration
- Installers for macOS, Windows and Linux, plus Docker
Weaknesses
- Model weights and voices carry licence terms separate from the AGPL-3.0 app
- CPU-only use is slower; the CPU PyTorch build needs about 5 GB disk
- Intel Mac runs the UI only and needs a remote backend
- Windows on ARM support is experimental and CPU only
- GPU optional
- Docker + Compose
- Needs Python, PyTorch, Electron
- Models: k2-fsa/OmniVoice
handy
Handy is a cross-platform desktop app (Rust, Tauri) for local speech-to-text. Hold or toggle a global shortcut, speak, and the transcript is pasted into the focused app. Silero VAD filters silence, and transcription runs locally on Whisper models (Small, Medium, Turbo, Large) or Parakeet, with no audio sent to the cloud.
Who it is for: Desktop users who want private, local dictation into any app
Strengths
- Runs fully offline on Windows, macOS and Linux with Whisper or Parakeet models
- Hold-to-talk or toggle shortcuts, plus CLI flags and signals for remote control
- Accepts custom Whisper GGML models and manually downloaded GGUF files
- Release artifacts are signed, with documented minisign verification steps
Weaknesses
- Linux Wayland support is limited and needs wtype, dotool or ydotool for text input
- Clipboard paste can insert stale clipboard content; Reliable Paste is still experimental
- fn/Globe key shortcuts work only on Apple keyboards on macOS
- Model downloads are large, from 487 MB to 1.6 GB for Whisper variants
- GPU optional
- Needs xdotool (X11), wtype or dotool (Wayland), libgtk-layer-shell (Linux)
- Models: Whisper GGML (.bin), Parakeet (GGUF), Silero VAD
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