Meet OmniVoice Studio: The Local, Open Source Alternative at ElevenLabs

OmniVoice Studio – How to Use it
01 / 08

What is OmniVoice Studio?

OmniVoice Studio is an app an open source desktop application voice cloning, video copying, real-time calling, and speaker dyeing. Everything works locally on your device. No API keys, no cloud account, no registration required.

• 646 languages TTS is supported by the default OmniVoice engine
• 99 languages by writing with WhisperX
• Available at macOS, Windows, and Linux
• GPU is optional – the full pipeline runs on the CPU
• Free for personal use, teaching, and research (FSL-1.1-ALv2)

OmniVoice Studio – How to Use it
02 / 08

System Requirements

GPU is optional. With one exception, TTS works approx 3× less on the CPU. With ≤8 GB VRAM, TTS automatically loads on the CPU during transcription — no configuration required.

OmniVoice Studio – How to Use it
03 / 08

Installation

The project recommends that you start with the source. Enter the three requirements first: ffmpeg, The Bun (JS runtime), and uv (Python package manager).

git clone
cd OmniVoice-Studio
uv sync
bun install
bun dev

It’s in the front loading to | API it works on port 8000.
Model weights are automatically downloaded from the first generation.

Prebuilt installers are available: macOS DMG, Windows MSI, Linux AppImage and .deb — see the Releases page on GitHub.

OmniVoice Studio – How to Use it
04 / 08

Voice Cloning

Use of Voice cloning zero shot reading — joins the word in a short clip like 3 secondswithout prior training in that voice. The default OmniVoice engine places a broadcast-based TTS model on the reference audio.

• Go to Voice Clone tab in the UI
• Upload or record a 3 second audio clip of the target word
• Enter your text and select the target language (646 available)
• Click Produce — the output is saved to your project library

Voice Gallery: Search YouTube, browse categories, and download reference clips right within the app to build your voice library.

OmniVoice Studio – How to Use it
05 / 08

Video Copying

The full copy pipeline works in place: write → translate → synthesize → mux. Demucs separates the vocals so that the original background sound is preserved in the final export.

• Go to Dub tab — paste a YouTube URL or upload a local file
• WhisperX records speech with word level compatibility
• Select the target language; translation starts automatically
• The TTS engine repeats the transcription; Demucs keep background noise
• Take out the last one MP4 with integrated integrated sound

Collection line: Stream up to 50 videos and go. Each task has its own tracking bar with a full pipeline.

OmniVoice Studio – How to Use it
06/08

Dictation & Speaker Diarization

Summoning works in a wide range of applications from any operating system. Dialing identifies individual speakers in a multi-speaker audio file using Pyannote + WhisperX.

• Press ⌘+⇧+Space (macOS) to open the floating call widget
• The expression broadcasts via WebSocket and automatically attaches to the active input field
• Upload a multi-speaker file to Dialing tab
• Pianonote points who said; each speaker gets an automatically generated voice profile
• Assign a TTS voice to each speaker by duplicating each speaker

An equivalent face token is required because Piannote diarization. See docs/setup/huggingface-token.md in the repo.

OmniVoice Studio – How to Use it
07/08

TTS engines

Six TTS engines are built in. Change using Settings → TTS Engine or env var:
OMNIVOICE_TTS_BACKEND=cosyvoice

Custom engine: Subclass TTSBakend in backend/services/tts_backend.py and add it to _REGISTRY. ~ 50 lines of Python.

OmniVoice Studio – How to Use it
08/08

MCP Server and Services

OmniVoice Studio sends built-in MCP serverwhich exposes voice and copy capabilities to any MCP-compatible client – Claude, Cursor, or your tools – without opening the desktop UI.

• The MCP server starts with the FastAPI backend enabled dev
• Point your MCP client to a local server to access all endpoints
• AudioSeal (Meta) embeds an invisible neural watermark in every AI generated sound

• GitHub: github.com/debpalash/OmniVoice-Studio
• Enter the documents: docs/install/ (macos/windows/linux/docker)
• To solve the problem: docs/install/troubleshooting.md
• Disagreements: discord.gg/bzQavDfVV9