OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Wrap uw tekst in SSML-tags voor nauwkeurige controle:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tags het geselecteerde model begrijpt
Dit model leest platte tekst, dus inline tags worden genegeerd. Voor emotie op basis van tags, schakel naar een expressief model zoals Orpheus of Bark.
Definieer aangepaste uitspraaken (woord = uitspraak):
Info 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.
Beste voor: Edge deployment, browser-based TTS, low-resource environments
Alles doorbladeren OuteTTS stemmenIn een oogopslag
- Ontwikkelaar
- OuteAI
- Licentie
- Apache 2.0
- Niveau
- free
- Snelheid
- slow
- Klonen van stemmen
- Nee
- Talen
- English
- Max. tekens
- 1000