OmniVoice Studio

The open-source ElevenLabs alternative.

Real-time dictation, zero-shot voice cloning, and cinematic video dubbing — all on your desktop.
Open-source, no API keys, fully local. 646 languages.

Quickstart · Features · Why OVS · TTS Engines · ASR Engines · API · Sponsors · Donate · Contributing · Discord · 简体中文

Your voice is the most personal data you have. So why rent it back from a cloud? Every mainstream voice tool ships your audio to someone else's server and bills you monthly for the privilege. OmniVoice Studio flips that: clone, design, dub, and dictate on your own hardware — 646 languages, no meter running, nothing leaving your machine.

🔑 No API keys	🙅 No accounts	☁️ No cloud	💳 No subscription
nothing to paste in	nothing to sign up for	your audio stays home	it's your computer

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 the pre-built installers. Bug reports and PRs are very welcome: open an issue or join Discord.

_{Get setup help · Share your dubs · Vote on the roadmap · Early access to new engines}

📸 See it in action

Studio Generate & clone in one workspace — a 3-second clip mirrors any voice, 646 languages, zero-shot.	Voice Design Build new voices from scratch — gender, age, accent, pitch, emotion, dialect.
Voice Gallery Browse ready-made archetype voices with language filters — or build your own library.	Video Dubbing A real dub, end to end: 37 segments transcribed, translated to Bengali, re-voiced, and timed — ready to export as MP4.
Settings → Engines The engine compatibility matrix — 14 TTS engines with per-engine GPU preflight, no silent CPU fallback.	Settings → Models One-click model store — auto-detects your platform (CUDA / MPS / CPU) and recommends the right models.
API Reference The full local REST API, embedded — every endpoint documented with copy-paste client snippets.	What's New In-app changelog reader — see exactly what shipped in each release without leaving the app.

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✨ Features

The eight headliners — and twelve more waiting under the fold.

🎙️ 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.	📖 Audiobook Editor Import text, EPUB, or PDF. Auto-chapter, loudnorm, metadata. Export .m4b.
🎭 Stories Multi-voice editor. Assign voices per-line, preview, export full cast.	⌨️ Dictation Widget ⌘+⇧+Space from any app. Transcribes, auto-pastes, disappears.	🔐 100% Local No keys, no cloud, no accounts. Your machine only.	🤖 MCP Server Use OmniVoice from Claude, Cursor, or any MCP client.

…and 12 more — isolation, diarization, batch, watermarking, diagnostics, and friends

• 🔊 Vocal Isolation — Demucs-powered: splits speech from music and keeps the background bed.
• 👥 Speaker Diarization — Pyannote + WhisperX auto-identify who said what.
• 📦 Batch Queue — drop 50 videos, walk away; per-job progress bars.
• 🛡️ AI Watermark — AudioSeal (Meta): invisible, survives compression.
• 🔬 Diagnostics — self-check suite, error journal, scrubbed diagnostic bundles.
• ⚡ GPU Auto-Detect — CUDA · MPS · ROCm (Linux, opt-in) · CPU; ≤8 GB VRAM auto-offloads.
• 🧭 Engine routing — preflight GPU check per engine; no silent CPU fallback.
• 🧩 Extensible — subclass TTSBackend, add any engine in ~50 lines.
• 🎒 Portable personas — export voices as .ovsvoice bundles: identity + watermark.
• ♾️ Unlimited TTS — sentence-chunked generation, no length cap, streaming via WebSocket.
• 🌐 Remote backend — point the UI at a remote server; Tailscale-friendly, bearer auth.
• 🧠 Dictation + LLM — local-LLM cleanup of transcripts, optional echo cancellation.

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⚡ Quickstart

_{macOS: first launch needs a one-time approval — right-click → Open (or System Settings → Privacy & Security → "Open Anyway" on macOS 15). No Terminal needed. Why?
Intel Macs are not supported for the local backend: the app UI installs, but the Python backend cannot run because PyTorch no longer ships Intel-Mac (x86_64) wheels (#889) — see docs/install/macos.md.}

Pick your OS and follow the guide end-to-end:

• 🍎 macOS — docs/install/macos.md
• 🪟 Windows — docs/install/windows.md
• 🐧 Linux — docs/install/linux.md
• 🐳 Docker — docs/install/docker.md · Docker Hub: palashdeb/omnivoice-studio

🧰 Stuck? Self-checks, tokens & restricted networks

Run the built-in self-check first — Settings → About → "Run self-check" in the app, or uv run python backend/main.py --diagnose from a checkout (--deep also test-loads the active engine). Then 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, and Settings → About → "Save diagnostic bundle" packages scrubbed logs + the self-check report for bug reports.

For Hugging Face token setup, see docs/setup/huggingface-token.md. For diarization-specific gating, see docs/features/diarization.md. For download speed, the ⚡ fast-download (Xet) status, and restricted-network / mirror options, see docs/downloading-models.md.

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💡 Why OmniVoice?

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 & open-source (AGPL-3.0) · Commercial license for proprietary use
Voice Cloning	✅ 3s clip	✅ 3s clip, zero-shot
Voice Design	✅ Gender, age	✅ Gender, age, accent, pitch, style, dialect
Audiobook / Stories	❌	✅ Full audiobook editor + multi-voice stories (EPUB/PDF import, .m4b export)
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 (Linux) · CPU
Desktop App	❌	✅ macOS · Windows · Linux
TTS Engines	1	14 (OmniVoice, CosyVoice 3, GPT-SoVITS, VoxCPM2, MOSS-TTS-Nano, KittenTTS, MLX-Audio, Sherpa-ONNX, IndexTTS 2, OmniVoice GGUF, Supertonic 3, MOSS-TTS-v1.5, dots.tts, Confucius4-TTS)
ASR Engines	1	9 (WhisperX, Faster-Whisper, MLX Whisper, PyTorch Whisper, Parakeet, Moonshine, FunASR, isolated Faster-Whisper, sherpa-onnx live dictation)
MCP Server	❌	✅ Use from Claude, Cursor, any MCP client
Self-check	❌	✅ Diagnostics suite, error journal, scrubbed debug bundles
Customizable	❌ Closed	✅ Fork it, extend it, ship it

Professional-grade voice AI, minus the subscription and the cloud.

Convinced? Come build with us.

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🖥️ System Requirements

	Minimum	Recommended
OS	Windows 10, macOS 12+ (Apple Silicon), 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 (Linux only)

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).

Note

AMD GPUs: ROCm acceleration is Linux-only and opt-in — pick "AMD GPU (ROCm)" on the first-run setup screen or set OMNIVOICE_TORCH_VARIANT=rocm (docs/install/linux.md). On Windows, AMD GPUs (incl. Ryzen AI iGPUs) run CPU-only: PyTorch has no Windows ROCm wheels, so Windows GPU acceleration is NVIDIA/CUDA-only (docs/install/windows.md).

Important

macOS Intel (x86_64) is unsupported for the local backend: the app UI installs, but the Python backend cannot run because PyTorch no longer ships Intel-Mac wheels (#889). Intel-Mac users can still point the UI at a remote backend on another machine — see docs/install/macos.md.

🗣️ TTS Engines

14 engines, one picker. OmniVoice (default, 600+ languages) is always available; CosyVoice 3, GPT-SoVITS, VoxCPM2, MOSS-TTS-Nano, KittenTTS, MLX-Audio, and Sherpa-ONNX are opt-in and auto-detected — plus six lazy-installed heavyweights (IndexTTS 2, OmniVoice GGUF, Supertonic 3, MOSS-TTS-v1.5, dots.tts, Confucius4-TTS). Switch in Settings → TTS Engine or via the OMNIVOICE_TTS_BACKEND env var.

📊 The full matrix — 14 engines × platform × clone/instruct × license

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
GPT-SoVITS	5	✅	—	✅ CUDA/CPU	—	✅ CUDA/CPU	MIT
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
MLX-Audio (Kokoro, Qwen3-TTS, CSM, Dia, …)	Multi	Varies	Varies	❌	✅ Native	❌	Varies
Sherpa-ONNX	20+	—	—	✅ CUDA/CPU	✅ CPU	✅ CUDA/CPU	Apache-2.0
IndexTTS 2 ⚡	Multi	✅	—	✅ CUDA	—	✅ CUDA	Apache-2.0
OmniVoice GGUF ⚡	600+	✅	✅	✅ CPU	✅ CPU	✅ CPU	Built-in
Supertonic 3 ⚡	31	—	—	✅ CPU	✅ CPU	✅ CPU	OpenRAIL-M
MOSS-TTS-v1.5 ⚡ (8B)	31	✅	—	✅ CUDA/CPU	✅ CPU	✅ CUDA/CPU	Apache-2.0
dots.tts ⚡ (2B)	24	✅	—	✅ CUDA/CPU	✅ CPU	❌	Apache-2.0
Confucius4-TTS ⚡	14	✅	—	✅ CUDA/CPU	✅ CPU	✅ CUDA/CPU	Apache-2.0

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 · ⚡ = lazy-registered (installed on first use)

MOSS-TTS-v1.5 (8B, ~16 GB weights) and dots.tts (2B, ~9 GB weights) are heavyweight opt-in engines that run in their own isolated venv from a local clone — see MOSS-TTS-v1.5 and dots.tts. Neither claims Apple-Silicon MPS (upstream is CUDA/CPU only; on a Mac they run on CPU). dots.tts upstream is Linux/macOS only — no Windows path. Confucius4-TTS (14-language cross-lingual zero-shot cloning) is similar — its own Python 3.10 venv from a clone; CUDA recommended, CPU validated end-to-end (slow, ~17× realtime; no MPS — tested slower than CPU); see Confucius4-TTS.

🎧 ASR Engines

9 engines, all fully local — they power dictation, video dubbing, and subtitles. WhisperX is the cross-platform default (~100 languages, word-level timing); the rest are opt-in and auto-detected. Switch in Settings → ASR Engine or via the OMNIVOICE_ASR_BACKEND env var.

📊 The full lineup — 9 engines, what each is best at, and compute-type notes

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)
Faster-Whisper (isolated)	faster-whisper-isolated	~100	Same as Faster-Whisper but crash-isolated in a subprocess — an ASR crash won't take down the app
MLX Whisper	mlx-whisper	~100	Native Apple Silicon speed (Apple MLX / Metal)
PyTorch Whisper	pytorch-whisper	~100	CUDA / CPU fallback via 🤗 Transformers (no cuDNN 8 needed)
Parakeet TDT	nemo-parakeet	English + 25 EU	SOTA accuracy at ~10× realtime even on CPU, auto language detection (NVIDIA NeMo, CUDA/CPU)
Moonshine	moonshine	English	Edge / low-latency, ONNX
FunASR	funasr	50+	All-in-one multilingual — built-in VAD + inline speaker diarization (SenseVoice)
sherpa-onnx (live dictation)	sherpa-onnx-asr	25 EU + 90+	Live, faster-than-real-time dictation — small streaming/offline ONNX models (Parakeet TDT v3/v2, streaming Zipformer & Paraformer, Whisper Tiny), CPU, identical on macOS / Windows / Linux. Picked per-model in Settings → Voice.

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. sherpa-onnx powers the live dictation model picker — you talk and text appears as you speak. Every engine runs on-device — no API keys, no cloud.

GPU without efficient float16? On older NVIDIA GPUs (Maxwell/Pascal, GTX 16xx) or after a CTranslate2/cuDNN mismatch, the CTranslate2 ASR engines (WhisperX, Faster-Whisper) can't run float16 and OmniVoice automatically retries on int8 — no config needed. If transcription still fails, pin the compute type with the ASR_COMPUTE_TYPE env var (escape hatch): ASR_COMPUTE_TYPE=int8 (or float32 for CPU). Set it to int8 and restart the backend.

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🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│                    Frontend (React)                          │
│  DubTab · VoiceConsole · Stories · Audiobook · Gallery     │
│  Dictation · BatchQueue · Diagnostics · MCP Client          │
├─────────────────────────────────────────────────────────────┤
│                  Backend (FastAPI)                           │
│  100+ API endpoints · SSE+WSS streaming · SQLite            │
├──────────┬──────────┬──────────┬──────────┬────────────────┤
│ WhisperX │  Demucs  │OmniVoice │ Pyannote │ Engine Routing  │
│  (+7 ASR │  Source  │  (+10    │ Diariz-  │ ↳ GPU preflight │
│ engines) │  Sep.    │  TTS)    │ ation    │ ↳ No silent CPU │
└──────────┴──────────┴──────────┴──────────┴────────────────┘
         CUDA / MPS / ROCm / CPU (auto-detected + routed)

🔌 OpenAI-compatible API

Already have a script, agent, or tool that speaks OpenAI's audio API? Point it at http://localhost:3900/v1 — no key needed, no code changes. The backend ships a drop-in surface for the audio endpoints, wired to whichever TTS/ASR engine you have active (and yes, voice accepts your cloned voice-profile IDs).

Endpoint	What it does
POST /v1/audio/speech	TTS — text in; mp3 / wav / flac / opus / pcm out. tts-1 / tts-1-hd map to your active engine; OpenAI voice names (alloy, …) are accepted.
POST /v1/audio/transcriptions	STT — audio file in; json, text, verbose_json, srt, or vtt out. whisper-1 maps to your active ASR engine.
GET /v1/audio/voices	OmniVoice extension — lists every voice profile and engine, so clients can discover your clones.

curl http://localhost:3900/v1/audio/speech \
  -H "Content-Type: application/json" \
  -d '{"model": "tts-1", "voice": "alloy", "input": "Generated on my own hardware.", "response_format": "wav"}' \
  --output speech.wav

from openai import OpenAI
client = OpenAI(base_url="http://localhost:3900/v1", api_key="none")  # any string works — nothing checks it

result = client.audio.transcriptions.create(model="whisper-1", file=open("clip.wav", "rb"))
print(result.text)

Want the whole surface (100+ endpoints)? The full REST API reference is embedded in the app — Settings → OpenAPI Reference (Scalar-powered), or the {} button in the footer.

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🗺️ Roadmap

🔜 Up Next

• 🎬 Lip-sync v2 — visual speech timing with wav2lip
• 🌐 Hosted Demo — try OmniVoice without installing anything
• 🔌 Plugin Marketplace — community-contributed TTS engines and effects
• 🎵 Real-time Voice Changer — live microphone transformation during calls

✅ Everything shipped so far — the receipts, by category

Category	Features
Longform	Audiobook editor (text/EPUB/PDF → chaptered .m4b), Stories multi-voice editor, two-pass loudnorm mastering, crash-resume for interrupted renders, pronunciation control + SSML-lite prosody
Dubbing	Full pipeline (transcribe→translate→synthesize→mux), scene-aware splitting, lip-sync scoring, streaming TTS, per-speaker voice assignment, Smart Fit timing + second-pass QC, dedicated Dub home
Voice	Zero-shot cloning, voice design, A/B comparison, voice preview widget, gallery with favorites/tags, portable persona bundles (.ovsvoice), voice console workspace
Audio	Demucs vocal isolation, per-segment gain, selective track export, stem/SRT/VTT/MP3 export, unlimited-length TTS via sentence-chunked generation
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
ASR	9 engines (WhisperX, Faster-Whisper, isolated Faster-Whisper, MLX Whisper, PyTorch Whisper, Parakeet TDT, Moonshine, FunASR/SenseVoice, sherpa-onnx live dictation), crash-isolated subprocess backend
TTS	14 engines (OmniVoice, CosyVoice 3, GPT-SoVITS, VoxCPM2, MOSS-TTS-Nano, KittenTTS, MLX-Audio, Sherpa-ONNX, + lazy: IndexTTS 2, OmniVoice GGUF, Supertonic 3, MOSS-TTS-v1.5, dots.tts, Confucius4-TTS), engine routing with GPU preflight
Infra	Docker deployment, CUDA/MPS/ROCm auto-detect, cuDNN 8 compat, VRAM-aware model offloading, engine routing (no silent CPU fallback), diagnostics suite & error journal, restricted-network mirror support
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, UI scale fix for Linux/WebKitGTK
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 — Apple Silicon; Intel unsupported for the local backend, #889 — Windows MSI, Linux deb/AppImage), auto-update infrastructure, single-instance enforcement, close-to-tray, macOS Gatekeeper fix
Dictation	Global system-wide hotkey (⌘+⇧+Space), frameless floating widget, streaming ASR via WebSocket, auto-paste, customizable hotkey, local-LLM transcript refinement
Batch Pipeline	Full batch TTS: extract → transcribe → translate → generate → mix → export, with live progress tracking
MCP Server	OmniVoice as a local TTS/STT provider for Claude, Cursor, and any MCP client
Remote Backend	Point the desktop UI at a remote backend URL with bearer auth (Tailscale-documented)
Reliability	Stall watchdog on bootstrap splash, per-engine GPU compatibility matrix, actionable errors for non-executable engine binaries, setuptools auto-repair

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💜 Sponsor / Donate

OmniVoice Studio is built by one developer using Claude Code and AI agents — and the agent bills are real. Over the last three months I've spent thousands of dollars on Claude subscriptions to keep the features shipping, the bugs fixed, and your issues answered. If OmniVoice has created value for you, helping cover those bills means I can keep developing full-time.

This month's agent bill fund

  

_{Every dollar goes directly to agent bills — keeping OmniVoice development continuous.}

🌟 Sponsors

OmniVoice is free and AGPL-3.0 — no paid tier, no SaaS revenue. Sponsors keep development going, and in return get a logo slot here, in the app, and (for top tiers) on the project website. It's a thank-you, never a paywall. See tiers & become a sponsor →

Your logo here — become a sponsor

_{💡 GitHub also shows a Sponsor button at the top of this repo, wired to the same links via .github/FUNDING.yml.}

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💬 Community

_{We respond to setup questions within hours, not days.}

What happens in there

Channel	What happens there
#announcements	Release news and the big moments — new versions land here first
#releases + #changelog	Every build and exactly what's inside it
#issues	Bug reports as forum posts — triaged straight into GitHub issues
#ideas	Feature requests, discussed and voted on
#discuss-ideas	Design talk before things get built
#general	Setup help, GPU troubleshooting, and showing off your dubs

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🤝 Contributing

Yes please — bug fixes, new TTS engine adapters, UI improvements, docs, translations. All of it.

• 📖 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. Intel Macs are not supported: the app UI installs, but the local Python backend cannot run because PyTorch no longer ships Intel-Mac wheels (#889) — an Intel Mac can only be used with a remote backend.

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?

Yes — commercial use is free. OmniVoice Studio is free and open-source under the GNU AGPL-3.0. So personal, educational, research, and commercial / business use are all free: run it, sell the audio you make with it, dub your own or a client's videos, deploy it across your team. Because AGPL is a network copyleft license, if you modify OmniVoice Studio and make that modified version available to others over a network, you must offer those users the source of your modified version under the same AGPL terms. Want to embed OmniVoice in a closed-source or proprietary product without those obligations? A commercial license is available — see License.

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. Fourteen engines are built in: OmniVoice, CosyVoice 3, GPT-SoVITS, MLX-Audio (14+ sub-engines), VoxCPM2, MOSS-TTS-Nano, KittenTTS, Sherpa-ONNX, plus lazy-registered IndexTTS 2, OmniVoice GGUF, Supertonic 3, MOSS-TTS-v1.5, dots.tts, and Confucius4-TTS. See the TTS Engines section for details.

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📜 License

OmniVoice Studio is free and open-source software under the GNU Affero General Public License v3.0 (AGPL-3.0).

Free for any use — including commercial and internal business use. Run it, sell the audio you produce with it, dub your own or clients' videos, roll it out across your team — all free, no license needed. As a network copyleft license, AGPL adds one obligation: if you modify OmniVoice Studio and offer that modified version to others over a network, you must make the complete corresponding source of your modified version available to them under the same AGPL-3.0 terms.

A commercial license is available for organizations that want to embed OmniVoice Studio in a closed-source or proprietary product or service without the AGPL-3.0 copyleft obligations. Pricing tiers coming soon. Inquiries: OmniVoice@palash.dev.

The bundled omnivoice/ TTS model by Han Zhu remains Apache-2.0 upstream. See LICENSE for the full, binding 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
Supertone / Supertonic 3	ONNX TTS engine — 31 languages, CPU-efficient
Sherpa-ONNX	WASM-ready universal TTS/ASR runtime
GPT-SoVITS	Zero-shot TTS engine — 5 languages, RTF 0.014

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🧰 More local open-source from the maker

Like the local-first philosophy? It runs in the family:

Project	What it is
Opal 💠	Play everything. The evolved media player for the next decades of entertainment — video, anime, comics, torrents, Jellyfin/Plex, with local AI built in.
memxt 🧠	The fastest benchmarked open-source AI memory system. 100% local memory for AI agents, with MCP support.

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If you read this far, you're our kind of person.
⭐ Star this repo so others can find it too.
💬 Join the Discord to share what you build.
❤️ Support development — fund the AI agent bills that keep OmniVoice shipping.