OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Wrap yako tenzi mu SSML tags kuti zvive nyore kudzora:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tags iyo yakasarudzwa model inonzwisiswa — tinya kuti utore imwe muchinyorwa chako apo inoitika:
Iyi modhi inoverenga chete mazita ezvinyorwa, saka zvinyorwa zvinonyorwa mumitsara hazvina kutariswa. Kuti uwane pfungwa dziri mumitsara, chinja kune imwe modhi inoratidza pfungwa seOrpheus kana Bark.
Define custom pronunciations (word = pronunciation):
Chii 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.
Yakanaka kune: Edge deployment, browser-based TTS, low-resource environments
Tarisa zvese OuteTTS mazwiMufananidzo
- Developer
- OuteAI
- License
- Apache 2.0
- Tier
- free
- Speed
- slow
- Kutaura
- Hapana
- Zvinhu
- English
- Max characters
- 1000