Open Text-to-Speech and Voice Models

CosyVoice is a text-to-speech system for developers building speech applications on their own hardware or self-hosted servers. It can generate speech in a reference speaker's voice, including in another language, without training a separate model for each speaker.

VoiceCraft generates speech from text and edits existing recordings using a few seconds of a speaker's voice as reference. It's for researchers and developers who want to work with voice generation on their own hardware without training a separate model for each speaker.

WhisperSpeech is a text-to-speech system for developers and speech researchers who want to generate English audio with models they can run locally. It builds on OpenAI Whisper and provides pretrained models for use on your own hardware.

ChatTTS generates conversational speech for developers and researchers building spoken LLM assistants or dialogue experiments. The released model is restricted to academic use and cannot be used commercially.

MOSS TTSD generates spoken dialogue from scripts for podcasts, audio dramas, dubbing and commentary. Its focus is maintaining distinct voices across long conversations, including speaker changes and overlapping speech.

Indic TTS is a text-to-speech toolkit from AI4Bharat for developers and researchers building speech applications in Indian languages. It provides trained models and training code for generating speech on your own hardware.

VibeVoice is a family of voice AI models for developers and researchers building transcription and speech generation applications. It can capture who spoke and when, or produce spoken responses from incoming text.

Orpheus TTS generates speech for developers building voice applications or creating custom voices. Its Llama-based models support local inference and let you control how spoken text sounds.

Zonos is a local text-to-speech model for people who want to generate speech in a reference speaker's voice. It suits projects that need control over vocal delivery as well as voice matching.

Higgs Audio's Higgs TTS 2 is a downloadable speech model for developers building narration and conversational audio into applications. It adapts spoken delivery to the text and can generate conversations with distinct voices.

Bark is Suno's text-to-audio model for developers and researchers experimenting with speech and other sounds. It can depart from the supplied script, which matters if you need an exact spoken reading.

Parler-TTS is a text-to-speech library for developers adding speech to applications and researchers adapting speech models. It generates audio with a voice style you describe in text.

Chatterbox is a text-to-speech model family for developers and creators who want to generate voices on their own hardware. It suits narration, voice agents and interactive media, with models for English and multilingual speech.

AudioLDM 2 is a local AI audio generator for sound designers and researchers experimenting with synthetic sound. It uses pretrained models to produce audio from text and provides a Gradio browser interface alongside command-line access.

IndicF5 is a text-to-speech model for developers and researchers who need to generate spoken audio in Indian languages. It supports Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil and Telugu.

Seamless Communication is Meta's family of AI models for developers and researchers building multilingual speech applications. It covers translation and transcription, with dedicated models for conversations and expressive speech.

IndexTTS is a local text-to-speech system for people creating spoken audio and developers adding speech generation to applications. It can reproduce a voice from a single reference recording.

MOSS TTS generates speech for developers and creators working on narration, dubbing and other long audio content. It supports consistent voices across long passages and can clone a speaker from reference audio without separate training for that voice.

Dia generates spoken English conversations from a written script. It's for developers and researchers who want to produce two-speaker dialogue on their own hardware, with audio references to guide the voices and delivery.

Fish Speech is a self-hosted text-to-speech system for creators producing narration and developers building voice applications. Its S2 Pro model supports directed speech delivery and dialogue with multiple speakers.

Spark-TTS is a local text-to-speech system for developers and researchers building speech applications. It can reproduce a voice from reference audio or create a synthetic speaker with chosen vocal traits.

Sesame CSM is a speech generation model for developers and researchers building voice applications on their own hardware. It generates spoken output from text and audio inputs, including earlier parts of a conversation.

Silero Models is a collection of pretrained text-to-speech models for developers adding voice output to applications or services. It suits projects that need speech generation on their own hardware, including support for Turkic and Caucasian languages.

Step-Audio 2 is an audio AI model family for developers building voice assistants and applications that interpret recordings. It can reason about what people say and how they say it, as well as sounds beyond speech.

XTTS v2 generates speech from text on your own hardware, using a voice recording as a reference. It's for developers adding speech to applications and researchers adapting a speech model to their own data.

StyleTTS 2 is a text-to-speech model for developers and speech researchers who want to generate expressive speech on their own hardware. It can choose a speaking style from the text without a reference recording.

NeuTTS is a collection of on-device text-to-speech models for developers building voice assistants and speech-enabled apps. It generates audio on your own hardware rather than sending speech generation to a cloud API.

Qwen3-TTS is a family of local text-to-speech models for developers building speech applications or creating audio with custom voices.

Kokoro is a text-to-speech model and inference library for developers adding speech generation to personal projects or production applications. It runs on your own hardware and uses the compact Kokoro-82M model.

Uni MoE is a family of multimodal AI models for researchers working with language, visual material and audio together. Its Omni model can reason across combined inputs and answer questions about their content.

VoxCPM is a local text-to-speech system for developers and audio creators who want to generate speech with voices they can design or clone. It supports multilingual narration and control over how a voice delivers the text.

KittenTTS is a Python text-to-speech library for developers adding local speech generation to apps or producing spoken audio from text. It supports voice cloning without model training and doesn't require a GPU.

OpenVoice generates speech in a reference speaker's voice from a short audio clip. It's for developers and creators who need the same voice across languages or want to vary its delivery without changing the speaker.

F5-TTS is a local text-to-speech system for developers and creators generating speech on their own hardware. Its Gradio app provides a browser interface for speech generation, with tools for training and fine-tuning models.