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voxcpm-1.5
VoxCPM 1.5 is an end-to-end text-to-speech (TTS) model from ModelBest. It features zero-shot voice cloning and high-quality speech synthesis capabilities.

Repository: localaiLicense: apache-2.0

neutts-air
NeuTTS Air is the world's first super-realistic, on-device TTS speech language model with instant voice cloning. Built on a 0.5B LLM backbone, it brings natural-sounding speech, real-time performance, and speaker cloning to local devices.

Repository: localaiLicense: apache-2.0

vllm-omni-qwen3-tts-custom-voice
Qwen3-TTS-12Hz-1.7B-CustomVoice via vLLM-Omni - Text-to-speech model from Alibaba Qwen team with custom voice cloning capabilities. Generates natural-sounding speech with voice personalization.

Repository: localaiLicense: apache-2.0

qwen3-tts-cpp
Qwen3-TTS 0.6B (C++ / GGML) — native C++ text-to-speech from text input. Generates 24kHz mono audio. Supports 10 languages (en, zh, ja, ko, de, fr, es, it, pt, ru). Uses F16 GGUF models (~2 GB total).

Repository: localaiLicense: apache-2.0

qwen3-tts-cpp-customvoice
Qwen3-TTS 0.6B Custom Voice (C++ / GGML) — text-to-speech with voice cloning support. Generates 24kHz mono audio with optional reference audio for voice cloning via ECAPA-TDNN speaker embeddings. Supports 10 languages (en, zh, ja, ko, de, fr, es, it, pt, ru).

Repository: localaiLicense: apache-2.0

qwen3-tts-1.7b-custom-voice
Qwen3-TTS is a high-quality text-to-speech model supporting custom voice, voice design, and voice cloning.

Repository: localaiLicense: apache-2.0

qwen3-tts-0.6b-custom-voice
Qwen3-TTS is a high-quality text-to-speech model supporting custom voice, voice design, and voice cloning.

Repository: localaiLicense: apache-2.0

fish-speech-s2-pro
Fish Speech S2-Pro is a high-quality text-to-speech model supporting voice cloning via reference audio. Uses a two-stage pipeline: text to semantic tokens (LLaMA-based) then semantic to audio (DAC decoder).

Repository: localaiLicense: apache-2.0

vibevoice

Repository: localaiLicense: mit

pocket-tts

Repository: localaiLicense: mit

kokoro
Kokoro is an open-weight TTS model with 82 million parametrs. Despite its lightweight architecture, it delivers comparable quality to larger models while being significantly faster and more cost-efficient. With Apache-licensed weights, Kokoro can be deployed anywhere from production environments to personal projects.

Repository: localaiLicense: apache-2.0

kokoros
Kokoros is a pure Rust TTS backend using the Kokoro v1.0 ONNX model (82M parameters). Fast, streaming TTS with high quality. American English with af_heart voice.

Repository: localaiLicense: apache-2.0

kokoros-ja
Kokoros Rust TTS - Japanese. Uses the Kokoro v1.0 ONNX model with Japanese phonemization.

Repository: localaiLicense: apache-2.0

kokoros-cmn
Kokoros Rust TTS - Mandarin Chinese.

Repository: localaiLicense: apache-2.0

kokoros-de
Kokoros Rust TTS - German.

Repository: localaiLicense: apache-2.0

kitten-tts
Kitten TTS is an open-source realistic text-to-speech model with just 15 million parameters, designed for lightweight deployment and high-quality voice synthesis.

Repository: localaiLicense: apache-2.0

chatterbox
Chatterbox, Resemble AI's first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations.

Repository: localaiLicense: mit

dia

Repository: localaiLicense: apache-2.0

outetts

Repository: localaiLicense: apache-2.0

parler-tts-mini-v0.1
Parler-TTS is a lightweight text-to-speech (TTS) model that can generate high-quality, natural sounding speech in the style of a given speaker (gender, pitch, speaking style, etc). It is a reproduction of work from the paper Natural language guidance of high-fidelity text-to-speech with synthetic annotations by Dan Lyth and Simon King, from Stability AI and Edinburgh University respectively.

Repository: localaiLicense: apache-2.0

voice-en-us-kathleen-low
A fast, local neural text to speech system that sounds great and is optimized for the Raspberry Pi 4. Piper is used in a variety of [projects](https://github.com/rhasspy/piper#people-using-piper).

Repository: localaiLicense: mit

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