[!WARNING] OmniVoice Studio is in active beta. Things may break between releases. For the latest features and fixes, clone the repo and run from source rather than using pre-built installers. Bug reports and PRs are very welcome — open an issue or join Discord.

Features

🎙️ Voice Cloning 3-second clip → mirror any voice. 646 languages, zero-shot.	🎨 Voice Design Gender, age, accent, pitch, speed, emotion, dialect — dial it in.	🎬 Video Dubbing YouTube URL or file → transcribe → translate → re-voice → MP4.
⌨️ Dictation Widget ⌘+⇧+Space from any app. Transcribes, auto-pastes, disappears.	🔊 Vocal Isolation Demucs-powered. Splits speech from music, keeps the background.	👥 Speaker Diarization Pyannote + WhisperX. Auto-identifies who said what.
📦 Batch Queue Drop 50 videos, walk away. Progress bars per job.	🤖 MCP Server Use OmniVoice from Claude, Cursor, or any MCP client.	🛡️ AI Watermark AudioSeal (Meta). Invisible, survives compression.
🔐 100% Local No keys, no cloud, no accounts. Your machine only.	⚡ GPU Auto-Detect CUDA · MPS · ROCm · CPU. ≤8 GB? Auto-offloads.	🧩 Extensible Subclass TTSBackend, add any engine in ~50 lines.

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Quickstart

Per-OS install guides — pick yours and follow it end-to-end:

• macOS — docs/install/macos.md
• Windows — docs/install/windows.md
• Linux — docs/install/linux.md
• Docker — docs/install/docker.md

Stuck? See docs/install/troubleshooting.md for the top 10 install errors. The in-app error UI deeplinks to those entries when something breaks at runtime.

For Hugging Face token setup, see docs/setup/huggingface-token.md. For diarization-specific gating, see docs/features/diarization.md.

Screenshots

Voice Clone Drop a 3-second clip → mirror any voice. 646 languages, zero-shot.	Voice Design Build new voices from scratch — gender, age, accent, pitch, style.
Video Dubbing Upload or paste a YouTube URL. Transcribe, translate, re-voice, export.	Voice Gallery Search YouTube, browse categories, download clips, build your library.
Settings → Models 15 models. One-click install. Auto-detects your platform (CUDA / MPS / CPU).	Projects Dub projects, voice profiles, generation history, exports — all searchable.
Settings → Logs Live backend, frontend, and Tauri runtime logs. Filter, refresh, clear.

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Why OmniVoice Studio?

ElevenLabs charges $5–$330/mo and processes your audio on their servers. OmniVoice Studio runs on your hardware, with no usage limits.

	ElevenLabs	OmniVoice Studio
Pricing	$5–$330/mo, per-character billing	Free for personal use · Commercial license for business
Voice Cloning	✅ 3s clip	✅ 3s clip, zero-shot
Voice Design	✅ Gender, age	✅ Gender, age, accent, pitch, style, dialect
Languages	32	646
Video Dubbing	✅ Cloud-only	✅ Fully local
Data Privacy	Audio sent to cloud	Nothing leaves your machine
API Keys	Required	Not needed
GPU Support	N/A (cloud)	CUDA · Apple Silicon · ROCm · CPU
Desktop App	❌	✅ macOS · Windows · Linux
Customizable	❌ Closed	✅ Fork it, extend it, ship it

OmniVoice Studio gives you professional-grade AI tools without the subscription or the cloud.

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System Requirements

	Minimum	Recommended
OS	Windows 10, macOS 12+, Ubuntu 20.04+	Any modern 64-bit OS
RAM	8 GB	16 GB+
VRAM (GPU)	4 GB (auto-offloads TTS to CPU)	8 GB+ (NVIDIA RTX 3060+)
Disk	10 GB free (models + cache)	20 GB+ SSD
Python	3.10+ (managed by uv)	3.11–3.12
GPU	Optional — CPU works	NVIDIA CUDA · Apple Silicon MPS · AMD ROCm

[!TIP] On GPUs with ≤8 GB VRAM, OmniVoice automatically offloads TTS to CPU during transcription — no config needed. A dedicated GPU is not required; the entire pipeline runs on CPU (just slower).

TTS Engines

OmniVoice ships a multi-engine TTS backend. The default engine (OmniVoice) is always available; additional engines are opt-in and auto-detected. Switch engines in Settings → TTS Engine or via the OMNIVOICE_TTS_BACKEND env var.

Engine	Languages	Clone	Instruct	Linux	macOS ARM	Windows	License
OmniVoice (default)	600+	✅	✅	✅ CUDA/CPU	✅ MPS	✅ CUDA/CPU	Built-in
CosyVoice 3	9 + 18 dialects	✅	✅	✅ CUDA/CPU	✅ MPS	✅ CUDA/CPU	Apache-2.0
MLX-Audio (Kokoro, Qwen3-TTS, CSM, Dia, …)	Multi	Varies	Varies	❌	✅ Native	❌	Varies
VoxCPM2	30	✅	✅	✅ CUDA/CPU	✅ MPS	✅ CUDA/CPU	Apache-2.0
MOSS-TTS-Nano	20	✅	❌	✅ CUDA/CPU	✅ CPU	✅ CUDA/CPU	Apache-2.0
KittenTTS	English	❌	❌	✅ CPU	✅ CPU	✅ CPU	MIT

CUDA = GPU-accelerated · MPS = Apple Silicon Metal · CPU = runs everywhere, slower for large models · KittenTTS and MOSS-TTS-Nano run realtime on CPU · MLX-Audio is Apple Silicon only.

ASR Engines

OmniVoice ships a multi-engine ASR (speech-to-text) backend that powers dictation, video dubbing, and subtitle generation — all fully local. WhisperX is the cross-platform default; the rest are opt-in and auto-detected. Switch in Settings → ASR Engine or via the OMNIVOICE_ASR_BACKEND env var.

Engine	OMNIVOICE_ASR_BACKEND	Languages	Best for
WhisperX (default)	whisperx	~100	Dubbing & subtitles — word-level timing via wav2vec2 forced alignment
Faster-Whisper	faster-whisper	~100	Fast transcription on Linux / macOS / Windows (CTranslate2)
MLX Whisper	mlx-whisper	~100	Native Apple Silicon speed (Apple MLX / Metal)
PyTorch Whisper	pytorch-whisper	~100	CUDA / CPU fallback via 🤗 Transformers
Parakeet TDT	nemo-parakeet	English + 25 EU	SOTA English accuracy, auto language detection (NVIDIA NeMo, GPU only)
Moonshine	moonshine	English	Edge / low-latency, ONNX
FunASR	funasr	50+	All-in-one multilingual — built-in VAD + inline speaker diarization (SenseVoice)

Whisper-family engines cover ~100 languages; FunASR / SenseVoice adds an all-in-one multilingual path with built-in voice-activity detection and inline speaker diarization. Every engine runs on-device — no API keys, no cloud.

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Architecture

┌─────────────────────────────────────────────────┐
│                  Frontend (React)                │
│  DubTab · VoicePreview · BatchQueue · Gallery    │
├─────────────────────────────────────────────────┤
│                Backend (FastAPI)                  │
│  97 API endpoints · SSE streaming · SQLite       │
├──────────┬──────────┬──────────┬────────────────┤
│ WhisperX │  Demucs  │OmniVoice │   Pyannote     │
│   ASR    │  Source  │   TTS    │  Diarization   │
│          │  Sep.    │          │                │
└──────────┴──────────┴──────────┴────────────────┘
        CUDA / MPS / ROCm / CPU (auto-detected)

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Roadmap

✅ Shipped

Category	Features
Dubbing	Full pipeline (transcribe→translate→synthesize→mux), scene-aware splitting, lip-sync scoring, streaming TTS
Voice	Zero-shot cloning, voice design, A/B comparison, voice preview widget, gallery with favorites/tags
Audio	Demucs vocal isolation, per-segment gain, selective track export, stem/SRT/VTT/MP3 export
Multi-Lang	Multi-language batch picker, batch dubbing queue with sequential GPU execution
Diarization	Pyannote ML diarization, auto speaker clone extraction, per-speaker voice assignment
Infra	Docker deployment, CUDA/MPS/ROCm auto-detect, cuDNN 8 compat, VRAM-aware model offloading
AI Provenance	AudioSeal invisible watermarking (SynthID-like), video logo overlay, watermark detection API
UX	Undo/redo, keyboard shortcuts, drag-and-drop, session persistence, glassmorphism design system
Real-time Events	WebSocket event bus — instant sidebar refresh on data mutations, exponential backoff reconnect
State Management	Zustand store migration — uiSlice, pillSlice, dubSlice, generateSlice, prefsSlice, glossarySlice
Desktop	Cross-platform Tauri installers (macOS DMG, Windows MSI, Linux deb/AppImage), auto-update infrastructure
Windows Hardening	Cross-platform log paths, Triton workaround, HF symlink bypass, 300s health check timeout
Dictation	Global system-wide hotkey (⌘+⇧+Space), frameless floating widget, streaming ASR via WebSocket, auto-paste
Batch Pipeline	Full batch TTS: extract → transcribe → translate → generate → mix → export, with live progress tracking

🔜 Up Next

• 🎬 Lip-sync v2 — visual speech timing with wav2lip
• 📖 Audiobook Editor — chapter-aware long-form narration
• 🌐 Hosted Demo — try OmniVoice without installing anything
• 🔌 Plugin Marketplace — community-contributed TTS engines and effects

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Community

Channel	What happens there
#showcase	Members share their dubs, clones, and voice designs
#help	Setup issues, GPU troubleshooting, model questions
#feature-requests	Vote on what gets built next
#dev	Architecture discussions, PR reviews, engine integrations
#announcements	Release notes, breaking changes, early access

→ Join the Discord — we respond to setup questions within hours, not days.

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Contributing

We welcome contributions of all kinds — bug fixes, new TTS engine adapters, UI improvements, docs, and translations.

• 📖 Read the Contributing Guide for setup, code style, and PR workflow
• 🐛 Browse good first issues
• 💬 Join our Discord to discuss ideas or ask for help

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FAQ

Is this really as good as ElevenLabs?

For voice cloning and dubbing, yes — OmniVoice uses a state-of-the-art diffusion TTS model with 646 languages (ElevenLabs supports 32). Quality is comparable for most use cases. Where ElevenLabs wins is in their polished cloud API and pre-made voice library. OmniVoice wins on privacy, cost, language coverage, and customizability.

Does it work on Apple Silicon (M1/M2/M3/M4)?

Yes. MPS acceleration is auto-detected. MLX-optimized Whisper models are available for faster transcription on Apple hardware.

How much VRAM do I need?

4 GB minimum. With ≤8 GB, the TTS model is automatically offloaded to CPU during transcription. With 8+ GB, everything runs on GPU simultaneously. No GPU at all? CPU mode works — just slower (~3× for TTS).

Can I use this commercially?

Personal, educational, internal-team, and non-commercial use is free under FSL-1.1-ALv2. Building a competing product or service on top of OmniVoice Studio requires a commercial license — see License. Pricing tiers coming soon. Each release converts to Apache 2.0 two years after publication.

What languages are supported?

646 languages for TTS via the OmniVoice model. Transcription (WhisperX) supports 99 languages. Translation coverage depends on the target language pair.

Can I add my own TTS engine?

Yes. OmniVoice uses a built-in backend registry. To add an engine in ~50 lines, subclass TTSBackend in backend/services/tts_backend.py and add it to the _REGISTRY dictionary at the bottom. Six engines are built in: OmniVoice, CosyVoice, MLX-Audio (14+ sub-engines), VoxCPM2, MOSS-TTS-Nano, and KittenTTS. See the TTS Engines section for details.

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License

OmniVoice Studio is source-available under the Functional Source License (FSL-1.1-ALv2).

Free for personal, educational, research, internal team, and non-commercial use. Each release converts to Apache 2.0 automatically two years after publication.

Business / enterprise users building a competing product or service on top of OmniVoice Studio need a commercial license. Pricing tiers coming soon. For inquiries in the meantime, reach out at OmniVoice@palash.dev.

See LICENSE for the full terms.

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Acknowledgments

OmniVoice Studio is built on the shoulders of exceptional open-source work:

Project	Role
OmniVoice (k2-fsa)	Zero-shot diffusion TTS engine — the core voice synthesis model
WhisperX	Word-level speech recognition and alignment
Demucs (Meta)	Music source separation for vocal isolation
Pyannote	Speaker diarization — who said what
CTranslate2	Optimized Transformer inference on CPU and GPU
AudioSeal (Meta)	Invisible neural audio watermarking for AI provenance
Tauri	Native desktop app framework

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