CosyVoice 2

CosyVoice 2 TTS

Alibaba Tongyi Lab's streaming TTS reaching human-parity naturalness with near-zero latency and zero-shot cloning.

CosyVoice 2, from Alibaba's Tongyi Lab, was designed to make high-quality speech viable in real time. It uses a finite scalar quantization approach combined with flow matching to support streaming synthesis at extremely low latency, while reaching human-comparable naturalness that outperforms many commercial systems in subjective tests. Beyond quality, it offers zero-shot voice cloning from about 3 seconds of audio, cross-lingual synthesis, and fine-grained emotion control. Covering 8 languages with a 1,000-character cap, it's a strong fit for voice assistants, streaming TTS, and other real-time applications.

At a glance

Developer
Alibaba (Tongyi Lab)
License
Apache 2.0
Tier
standard
Speed
medium
Voice cloning
Yes
Languages
English, Chinese, Japanese, Korean, French, German, Italian, Spanish
Max characters
1000

CosyVoice 2 AI Voices

Chinese Female

Chinese
Pangkalahatang Female
Gamitin

Chinese Male

Chinese
Pangkalahatang Male
Gamitin

English Female

English
Pangkalahatang Female
Gamitin

English Male

English
Pangkalahatang Male
Gamitin

French Female

French
Pangkalahatang Female
Gamitin

German Female

German
Pangkalahatang Female
Gamitin

Italian Female

Italian
Pangkalahatang Female
Gamitin

Japanese Female

Japanese
Pangkalahatang Female
Gamitin

Korean Female

Korean
Pangkalahatang Female
Gamitin

Spanish Female

Spanish
Pangkalahatang Female
Gamitin

Best for

Real-time applications, streaming TTS, voice assistants

CosyVoice 2 TTS — FAQ

Yes. CosyVoice 2 uses finite scalar quantization for streaming synthesis at very low latency, which is what makes it suitable for voice assistants and real-time applications.

Yes. It offers zero-shot voice cloning from roughly 3 seconds of reference audio, plus cross-lingual synthesis and emotion control.

Yes. CosyVoice 2 is Apache 2.0 licensed. It supports 8 languages: English, Chinese, Japanese, Korean, French, German, Italian, and Spanish.
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