# k2-fsa/OmniVoice

High-Quality Voice Cloning TTS for 600+ Languages

Repository: https://github.com/k2-fsa/OmniVoice
Canonical: https://ross.abutalabs.com/products/omnivoice
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-08-24T22:08:56+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 93, longevity 11
- inputs: {"age_days": 155, "days_push": 9, "days_rel": 48, "gap_med": 9, "n_releases_24m": 6}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9455, forks 1551 (observed 2026-08-28T04:10:31.175705+00:00)

## What it is
OmniVoice is a massively multilingual zero-shot text-to-speech model supporting 600+ languages, built on a diffusion language model-style architecture. It provides high-quality voice cloning, voice design via speaker attributes, and fast inference (up to 40x real-time) through Python APIs and command-line tools.

## Use cases
- clone a voice from a short audio sample
- generate speech in hundreds of languages from text
- design a custom voice by specifying gender, age, pitch, and accent
- synthesize speech with fine-grained control like [laughter] tags and phoneme pronunciation correction
- run fast TTS inference on GPU or Apple Silicon
- fine-tune or evaluate a multilingual TTS model

## When to choose
- you need zero-shot TTS with the broadest language coverage (600+ languages)
- you want state-of-the-art voice cloning quality
- you need very fast inference (RTF as low as 0.025)
- you want fine-grained control over non-verbal sounds and pronunciation
- you prefer an Apache-2.0 licensed model with Python API and CLI

## When to avoid
- you need a lightweight CPU-only TTS without GPU acceleration
- you need a simple single-language TTS with minimal setup
- you want a hosted SaaS API rather than running models locally
- you need real-time streaming synthesis specifically

## Facets
- artifact type: library
- maturity: active
- function: tts, speech-recognition, machine-learning, deep-learning, audio-processing
- domain: speech-processing, machine-learning, artificial-intelligence
- platform: python, cross-platform, cli
- tags: voice-cloning, zero-shot-tts, multilingual, diffusion-language-model, voice-design, speech-synthesis, natural-language-processing, gpu

## Member repositories
- k2-fsa/OmniVoice (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:31.175705+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:22:06.861304+00:00, confidence not recorded.
  - readme: https://github.com/k2-fsa/OmniVoice (fetched 2026-08-28T04:10:31.175705+00:00, sha e7bfb21c5ea3)
  - registry_pypi: https://pypi.org/pypi/omnivoice/json (fetched 2026-08-29T08:22:03.215583+00:00, sha 59a1edca393d)
- Data as of 2026-08-30T08:39:29.467469+00:00.