Qwen3-TTS: Create Human-Like Voices in Seconds
Turn a 3-second clip into a voice that sounds real — natural, emotional, human-like.
Qwen3-TTS streaming reports first-packet latency down to 97ms in public benchmarks.
Qwen3-TTS Live Demo
Try the Qwen3-TTS Space demo directly in your browser.
What is Qwen3-TTS
Qwen3-TTS combines a 12Hz multi-codebook tokenizer with a dual-track architecture to balance speed, control, and fidelity.
12Hz multi-codebook tokenizer
Efficient acoustic compression with high-fidelity reconstruction and paralinguistic detail.
Dual-track discrete LM
Reduces bottlenecks and error accumulation from conventional LM+DiT pipelines.
Natural-language voice control
Guide timbre, emotion, and prosody with instructions for expressive output.
Multilingual coverage
Public docs list 10 major languages including Chinese, English, Japanese, and more.
Why developers choose Qwen3-TTS
Clear model roles, transparent benchmarks, and flexible Qwen3-TTS deployment paths.
How to integrate Qwen3-TTS
A practical path from local tests to real-time Qwen3-TTS deployments.
Set up Python 3.12
Create an environment and install qwen-tts for local inference.
Choose model + mode
Pick Base, CustomVoice, or VoiceDesign with 0.6B or 1.7B depending on budget.
Generate with Qwen3TTSModel
Use generate_custom_voice / generate_voice_design / generate_voice_clone to synthesize audio.
Deploy via demo or API
Run the web demo locally or connect to DashScope real-time APIs for production.
Qwen3-TTS capabilities at a glance
Qwen3-TTS covers voice design, cloning, controllable speech, and streaming.
VoiceDesign
Create new voices from natural-language descriptions.
Voice clone (3s)
Base supports fast cloning from seconds of reference audio.
CustomVoice control
Preset voices with instruction-based control of timbre and emotion.
Streaming + non-streaming
One model supports batch synthesis and real-time streaming.
Multilingual and dialect-ready
Public docs report 10 languages with multiple dialect voices.
Apache-2.0 open source
Open weights and permissive licensing for commercial use.
Qwen3-TTS performance highlights
Benchmark points summarized from public Qwen3-TTS evaluations.
97ms First-packet latency in streaming mode
First-packet latency in streaming mode
10 languages Publicly reported multilingual coverage
Publicly reported multilingual coverage
WER 1.835% Multilingual clone eval with 0.789 speaker similarity
Multilingual clone eval with 0.789 speaker similarity
User testimonials
Experience notes shared by teams across industries.
Voice drafts land fast, so our reviews move forward without delay.
Emma Johnson, Product Manager
Emma Johnson
Product Manager
Switching languages is effortless, making A/B voice tests for campaigns easy.
Michael Carter, Growth Marketing
Michael Carter
Growth Marketing
The API is clean and latency stays low, even for real-time flows.
Sophia Davis, Frontend Engineer
Sophia Davis
Frontend Engineer
Tone and pacing are easy to tune, so demos land with clients faster.
Daniel Thompson, Video Producer
Daniel Thompson
Video Producer
Consistent voice style keeps lessons cohesive across long courses.
Olivia Martinez, Instructional Design Lead
Olivia Martinez
Instructional Design Lead
Lightweight setup and fast onboarding make it ideal for small teams.
James Wilson, Indie Developer
James Wilson
Indie Developer
We can tweak copy and hear results immediately—iteration is twice as fast.
Ava Brooks, Editorial Director
Ava Brooks
Editorial Director
Long-form coherence holds up well, perfect for quick voice data screening.
Ethan Parker, AI Researcher
Ethan Parker
AI Researcher
The demo is ready for internal alignment, saving hours in decision cycles.
Liam Anderson, Brand Marketing
Liam Anderson
Brand Marketing
Frequently asked questions
Key facts summarized from public docs and benchmarks.
Build with Qwen3-TTS
Qwen3-TTS delivers open-source, controllable speech for real-time and batch use cases.
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