OuteTTS

OuteTTS TT TT TTT TTT T TT TT T T TTT TTT TTT

An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.

签名 对 5,000 字符限制的 5 000 个字符

在 SSML 标记中折行文本以精确控制 :

<speak><prosody rate="slow">Slow speech</prosody></speak>

标记选中模式的理解度 - 单击将一个输入到文本中, 发生时 :

这个模型读的是简单的文字, 所以内嵌标签会被忽略。 对于基于标签的情感, 请切换到像 Orpheus 或 Bark 这样的表达模式 。

定义自定义发音( Word = 发音) :

-12 +12
0.5x 2.0x
免费的管道、VITS、MelotTS
您生成的音频将在此显示。 选择一个模型, 输入文本, 并单击生成 。
音频生成成功
0:00
下载音频 下载.strt 24小时后链接过期
免费:个人使用。 5美元/美元商业许可证
使这个声音成为你自己的声音 30秒后打开声音
喜欢TTS.ai吗?告诉你的朋友吧!

关于 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.

最佳: Edge deployment, browser-based TTS, low-resource environments

全部浏览 OuteTTS 声音

一眼看一眼,

开发者
OuteAI
许可证
Apache 2.0
级别
free
速度
slow
语音克隆
否 无
语言
English
最大字符
1000

OuteTTS 声音

Female 1 (Neutral)

English
自由 Female

OuteTTS TTS - 常见问题

Across many backends — llama.cpp (CPU or GPU), Hugging Face Transformers, ExLlamaV2, VLLM, and even directly in the browser through Transformers.js — because it preserves the underlying LLM architecture.

Its LLM-based design runs efficiently on CPU and in the browser, so it can operate client-side or on modest hardware without a dedicated GPU.

It works best on shorter inputs. The LLM-based pipeline is slow on long passages, so it is offered for regular short-to-medium TTS rather than long-form generation.
← 所有声音