OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Wrap ou tèks nan SSML tags pou presizyon kontwòl:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tags ke modèl la chwazi konprann — klike pou mete yon nan tèks ou kote li rive:
Modèl sa a li tèks senp, se poutèt sa atik ki nan liy yo pa pran an kont. Pou efè ki baze sou atik, chanje pou yon modèl ekspresyon tankou Orpheus oswa Bark.
Define prononciations Custom (mot = prononciation):
Atik OuteTTS
OuteTTS by OuteAI takes a language-model approach to speech: it extends an LLM with text-to-speech capability while keeping the original architecture intact, so it can run through standard LLM tooling. That gives it unusually broad backend support — llama.cpp on CPU or GPU, Hugging Face Transformers, ExLlamaV2, VLLM, and even in-browser inference via Transformers.js. It is a natural fit for edge deployment and low-resource environments where running a model client-side or on CPU matters more than raw speed. On TTS.ai it is offered on the free tier for English. Because the LLM-based pipeline is slow on long inputs, it is best used for shorter regular text rather than long-form cloning.
Pi bon pou: Edge deployment, browser-based TTS, low-resource environments
Navigue tout OuteTTS VoyYon ti gade
- Pwogramè
- OuteAI
- Lisans
- Apache 2.0
- Nivo
- free
- Vitès
- slow
- Klonaj vwa
- Non
- Lang
- English
- Karakteris maksimòm
- 1000