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text-to-speech

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

Example Output

Text Input

"verry happy"

Generated Audio

~3-5 seconds

Try Qwen 3 TTS - Text to Speech [0.6B]

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 (ignored if speaker embedding is provided). Check documentation for language support details

The language of the voice

Optional prompt to guide the style of the generated speech (ignored if speaker embedding is provided)

URL to a speaker embedding file in safetensors format from fal-ai/qwen-3-tts/clone-voice/0.6b endpoint. If provided, uses cloned voice instead of predefined voices

Optional reference text used when creating the speaker embedding. Improves synthesis quality when using cloned voice

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

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More text-to-speech Models

Qwen 3 TTS - Voice Design [1.7B]

Qwen 3 TTS - Voice Design [1.7B]

Create custom voices using Qwen3-TTS Voice Design model and later use Clone Voice model to create your own voices!

Qwen 3 TTS - Text to Speech [1.7B]

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

About Qwen 3 TTS - Text to Speech [0.6B]

Qwen 3 TTS - Text to Speech [0.6B] is a cutting-edge AI-powered text-to-speech model designed to convert written text into lifelike, expressive speech. Leveraging advanced neural networks and a robust architecture, Qwen 3 TTS provides users with the flexibility to generate audio using a wide range of pre-trained voices or even clone custom voices for tailored audio output. This powerful tool is perfect for content creators, educators, developers, and businesses seeking high-quality, natural-sounding speech synthesis for a variety of applications. With support for multiple languages—including English, Chinese, Spanish, French, German, Italian, Japanese, Korean, Portuguese, and Russian—Qwen 3 TTS makes it easy to reach global audiences. The model offers a selection of distinctive pre-trained voices such as Vivian, Serena, Uncle Fu, and more, each with unique characteristics to suit different contexts. For users who need a personalized touch, Qwen 3 TTS enables custom voice cloning via speaker embedding files, ensuring unparalleled versatility for specialized tasks like branding or voice-over work. Qwen 3 TTS offers advanced customization through parameters like temperature, top-p, and top-k sampling, as well as repetition penalties and token control, allowing users to fine-tune the expressiveness and randomness of generated speech. The optional prompt feature enables further guidance over the style and emotion of the output, making it ideal for dynamic content creation, audiobooks, podcasts, accessibility tools, and more. The user-friendly interface supports direct text input, while advanced users can leverage features like reference text and speaker embedding files for improved synthesis quality. The model is optimized for speed, delivering high-quality audio in just a few seconds, making it suitable for both real-time and batch processing scenarios. Whether you want to create voiceovers for videos, produce interactive voice responses, generate personalized messages, or build multilingual accessibility solutions, Qwen 3 TTS is engineered to provide consistent, customizable, and natural-sounding speech. Its combination of flexibility, quality, and multilingual support makes it a top choice for anyone looking to enhance their content or applications with AI-generated audio.

✨ Key Features

Converts any text into natural, expressive speech using advanced neural TTS technology.

Supports nine distinctive pre-trained voices and enables custom voice cloning through speaker embedding files.

Offers multilingual synthesis with automatic or manual language selection, covering major global languages.

Provides fine-grained control over speech style, emotion, and randomness using parameters like temperature, top-p, and top-k.

Features an optional prompt system to guide the emotion or style of the generated speech.

Allows for reference text input to improve quality when using custom cloned voices.

Delivers fast audio generation suitable for real-time and high-volume batch applications.

💡 Use Cases

Creating voiceovers for videos, animations, and presentations.

Producing audiobooks and podcasts with varied or custom voices.

Enhancing accessibility tools such as screen readers or voice assistants.

Generating multilingual interactive voice response (IVR) systems for businesses.

Personalizing marketing messages or notifications with branded voices.

Developing language learning tools with authentic pronunciation.

Rapid prototyping and testing of audio applications or games.

🎯

Best For

Content creators, educators, developers, marketers, and businesses seeking advanced, customizable text-to-speech solutions.

👍 Pros

  • Supports both pre-trained and fully custom cloned voices for maximum flexibility.
  • Covers a wide array of languages for global applications.
  • Highly customizable voice output with advanced parameters and style prompts.
  • Fast audio generation suitable for both live and batch processing.
  • Easy integration and user-friendly interface for both beginners and advanced users.

⚠️ Considerations

  • Requires high-quality speaker embedding files for optimal voice cloning results.
  • Advanced parameter settings may require experimentation for best results.
  • Currently limited to the set of supported pre-trained voices and languages.

📚 How to Use Qwen 3 TTS - Text to Speech [0.6B]

1

Enter your text in the provided input area to specify what you want to convert to speech.

2

Select a pre-trained voice from the available options, or provide a speaker embedding file to use a custom cloned voice.

3

Choose the target language or use the auto-detect feature for multilingual support.

4

Optionally, add a style prompt or reference text to guide the emotion or quality of the generated speech.

5

Adjust advanced parameters like temperature, top-p, and top-k if you want to fine-tune the output.

6

Submit your request and download the generated audio file once processing is complete.

Frequently Asked Questions

🏷️ Related Keywords

text to speech TTS AI voice cloning multilingual TTS AI audio generation custom voice synthesis speech synthesis audio content creation natural sounding voices accessibility tools