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text-to-speech

Qwen 3 TTS - Text to Speech [1.7B]

Bring speech to your texts using Qwen3-TTS Custom-Voice model with pre-trained voices or use your custom voice with Qwen3-TTS Clone Voice model

Example Output

Text Input

"very happy"

Generated Audio

~3-5 seconds

Try Qwen 3 TTS - Text to Speech [1.7B]

Fill in the parameters below and click "Generate" to try this model

The text to be converted to speech

The voice to be used for speech synthesis, will be ignored if a speaker embedding is provided. Check out the documentation for each voice's details and which language they primarily support

The language of the voice

URL to a speaker embedding file in safetensors format, from fal-ai/qwen-3-tts/clone-voice endpoint. If provided, the TTS model will use the cloned voice for synthesis instead of the predefined voices

Optional reference text that was used when creating the speaker embedding. Providing this can improve synthesis quality when using a cloned voice

Optional prompt to guide the style of the generated speech. This prompt will be ignored if a speaker embedding is provided

Sampling temperature; higher = more random

Top-p sampling parameter

Top-k sampling parameter

Penalty to reduce repeated tokens/codes

Maximum number of new codec tokens to generate

Temperature for sub-talker sampling

Top-p for sub-talker sampling

Top-k for sub-talker sampling

Sampling switch for the sub-talker

Your inputs will be saved and ready after sign in

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Qwen 3 TTS - Text to Speech [0.6B]

Qwen 3 TTS - Text to Speech [0.6B]

Bring speech to your texts using Qwen3-TTS Custom-Voice model with pre-trained voices or use your custom voice with Qwen3-TTS Clone Voice model

About Qwen 3 TTS - Text to Speech [1.7B]

Qwen 3 TTS - Text to Speech [1.7B] is a cutting-edge AI model engineered to convert written text into highly realistic and expressive speech. Designed for versatility and precision, this model leverages advanced audio generation technology to deliver lifelike voice synthesis across a wide range of languages and use cases. Whether you need to bring your content to life with pre-trained voices or want to personalize audio output using custom cloned voices, Qwen 3 TTS offers robust and flexible solutions tailored to your needs. At its core, Qwen 3 TTS utilizes a sophisticated neural network trained on vast multilingual datasets, ensuring clear pronunciation, natural prosody, and emotional nuance in the generated speech. Users can select from a variety of built-in voices—including Vivian, Serena, Uncle Fu, Dylan, Eric, Ryan, Aiden, Ono Anna, and Sohee—each with unique characteristics and language specializations. The model’s language detection and selection capabilities support auto-detect as well as explicit choices among major languages such as English, Chinese, Spanish, French, German, Italian, Japanese, Korean, Portuguese, and Russian, making it ideal for global applications. A standout feature of Qwen 3 TTS is its support for custom voice cloning using speaker embedding files. By supplying a safetensors-format speaker embedding, users can instantly synthesize speech in their own voice or any desired custom voice. This opens up powerful personalization options for branding, accessibility, and content localization. Additionally, users can fine-tune the speaking style by providing prompts or reference texts, further enhancing the expressiveness and context of the output. Advanced configuration parameters such as temperature, top-p, top-k, repetition penalty, and maximum new tokens give granular control over audio generation, allowing for experimentation with creativity, randomness, and repetition control. Sub-talker parameters enable nuanced dialogue synthesis and multi-speaker scenarios, while fast generation times ensure the workflow remains efficient. Qwen 3 TTS is ideal for a broad spectrum of applications, including but not limited to audiobooks, podcasting, voice-over creation, accessibility enhancements, language learning tools, and virtual assistants. Its intuitive interface, high-quality output, and support for both standard and personalized voices make it a go-to solution for content creators, educators, developers, and businesses seeking dynamic speech synthesis. Whether you’re producing engaging audio content, automating customer interactions, or empowering individuals with reading disabilities, Qwen 3 TTS provides the flexibility, quality, and scalability required to meet modern audio generation demands. Experience the next level of text-to-speech technology and discover how effortless and impactful voice synthesis can be.

✨ Key Features

Supports multiple languages with auto-detection and explicit language selection for global reach.

Offers a range of pre-trained voices plus the ability to clone custom voices using speaker embedding files.

Advanced configuration controls, including temperature, top-p, top-k, and repetition penalty, for tailored audio output.

Style guidance via prompts or reference text to enhance expressiveness and match specific contexts.

Efficient speech synthesis with fast generation times, suitable for real-time and batch processing.

Sub-talker parameters for multi-speaker scenarios and nuanced conversational audio.

Seamless integration and intuitive input schema for easy use in diverse projects.

💡 Use Cases

Producing audiobooks with expressive, natural narration.

Creating custom voice-overs for videos, games, and multimedia content.

Enabling voice accessibility for websites, apps, and educational materials.

Developing multilingual virtual assistants and chatbots.

Generating personalized greetings or announcements for customer service systems.

Assisting language learners with accurate pronunciation and native-like speech.

Automating podcast creation with custom or synthetic hosts.

🎯

Best For

Content creators, educators, developers, and businesses seeking high-quality, flexible text-to-speech solutions.

👍 Pros

  • Highly realistic, natural-sounding speech output.
  • Supports a wide variety of languages and voices.
  • Offers custom voice cloning for personalized audio experiences.
  • Extensive control over speech parameters for creative flexibility.
  • Fast generation suitable for real-time applications.
  • Simple integration and user-friendly setup.

⚠️ Considerations

  • Requires speaker embedding files for custom voice cloning, which may add setup complexity.
  • Some advanced parameters may require experimentation for optimal results.
  • Output quality depends on the quality of input text and embeddings.

📚 How to Use Qwen 3 TTS - Text to Speech [1.7B]

1

Enter or paste the text you want to convert to speech in the provided input area.

2

Select your desired voice from the list of available pre-trained options or upload a speaker embedding file for a custom voice.

3

Choose the target language or leave it on auto-detect for automatic recognition.

4

Optionally, provide a prompt or reference text to guide the style and emotional tone of the speech.

5

Adjust advanced settings like temperature, top-p, and repetition penalty if you wish to fine-tune the output.

6

Submit your request and download or listen to the generated audio once processing is complete.

Frequently Asked Questions

🏷️ Related Keywords

text to speech AI voice generator multilingual TTS custom voice cloning audio generation speech synthesis virtual assistant accessible content voice-over AI language learning tools