Qwen3 TTS Voice Design Prompting Guide: How to Describe the Perfect AI Voice
Voice Design, powered by Qwen3 TTS, lets you create entirely new voices by writing a text description. No audio samples, no microphone, no recording, just a description of the voice you want to create. Every voice below was generated from the exact prompt shown next to it. Copy any prompt to reproduce a similar voice yourself.
The rest of this guide breaks down how to write descriptions like these: the dimensions you can control, a repeatable workflow, and the mistakes that lead to generic results. You can also copy this whole guide into ChatGPT or any LLM and ask it to help you write a prompt for the exact voice you have in mind.
Hear What You Can Design
Six voices, six prompts. Press play to hear each, then use the copy button to drop the exact prompt into Voice Design.
Notice the pattern in every prompt above: who the voice belongs to (age, gender), how it sounds (pitch, pace, texture), and where it will be used (narration, game, radio). That three-part recipe is exactly what the rest of this guide teaches you to write.
Understand the Seven Dimensions
Qwen3 TTS interprets your description across a set of core voice attributes. The more of these you include, the more control you have over the result.
| Dimension | Example Values |
|---|---|
| Gender | Male, female, neutral |
| Age | Child (5–12), teenager (13–18), young adult (19–35), middle-aged (36–55), elderly (55+) |
| Pitch | High, medium, low, high-pitched with resonance, deep baritone |
| Pace | Fast, moderate, slow, deliberate with pauses, rapid-fire |
| Emotion | Cheerful, calm, serious, gentle, lively, soothing, intense |
| Characteristics | Magnetic, crisp, hoarse, raspy, breathy, mellow, sweet, rich, gravelly |
| Use case | Narration, news broadcast, ad voice-over, audiobook, game character, voice assistant |
You don't need to fill in every dimension for every voice. But the more specific you are, the closer the result will match what you're imagining.
Write Your First Prompt
Start simple. Begin with two or three key traits such as gender, age, and one defining quality. Generate a preview, listen, and then add more detail in the next iteration.
- Start with the basics and generate a preview.
"A young female voice, mid-twenties, warm tone."
- Add more detail based on what you hear.
"A young female voice, mid-twenties, warm and smooth tone, moderate pace, suitable for audiobook narration."
- Get specific about the qualities that matter most.
"A young female voice, mid-twenties, warm and smooth with a slight breathiness. Moderate pace, calm and reassuring delivery. Suitable for guided meditation or audiobook narration."
Tip: Each generation with Qwen3 TTS produces a unique voice, even with the same description. If you like the direction but not the exact result, generate again with the same prompt before changing it.
Common Mistakes
| What People Write | Why It Doesn't Work | Write This Instead |
|---|---|---|
| "A nice voice" | Too vague; Qwen3 TTS has nothing specific to work with | "A warm female voice, mid-thirties, gentle and calm, moderate pace" |
| "Make it sound like [celebrity]" | Qwen3 TTS doesn't know specific people | "A deep, authoritative male voice with a commanding presence and measured pace" |
| "Very very very energetic female" | Repeating words doesn't increase intensity | "An energetic young female, fast pace, bright and enthusiastic, high pitch" |
| "Male" | Single-dimension descriptions produce generic results | "A young adult male, smooth baritone, steady pace, confident and relaxed" |
| "Angry screaming old man fast loud" | Keyword lists lack structure | "An elderly male voice, high energy, fast-paced, rough and gravelly, shouting with anger" |
The common thread: vague or unstructured descriptions produce generic voices. Specific, multi-dimensional descriptions produce distinctive ones.
The Iterative Workflow
Voice design works best as a loop, not a single shot.
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Describe. Write a prompt with 2–4 key attributes. Don't try to get it perfect on the first attempt.
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Generate and listen. Pay attention to what's close and what's off. Is the pitch right but the pace too fast? Is the emotion right but the age wrong?
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Refine. Adjust the specific dimension that needs work. Add detail where the voice fell short, remove anything that pulled it in the wrong direction.
Tip: Keep a note of prompts that produced voices you liked. Small wording changes can shift the result significantly, so having a reference point saves time.
Advanced Tips
Use Structured Format for Complex Voices
For voices with many specific requirements, a structured key-value format can be clearer than a single sentence (the Female Wizard prompt above uses this):
"Gender: male. Age: mid-forties. Pitch: deep, low. Pace: steady, measured. Emotion: serious, intense. Characteristics: rough, hoarse, gravelly. Use case: fantasy game dialogue or action trailers."
This makes it easier to isolate and adjust individual dimensions without rewriting the whole prompt.
Match Your Preview Text to the Voice
The text the voice reads during preview matters. An energetic voice description paired with a flat, monotone sentence will produce underwhelming results. Give the voice something to perform:
- For an excited character, use text with exclamations and questions
- For a calm narrator, use smooth, descriptive prose
- For a commanding voice, use short, direct sentences
Save and Reuse
Once you generate a voice you like, save it to your library. You can then use it for text-to-speech generation anytime, just like a cloned voice. This means you don't need to re-describe and hope for the same result.
Start Broad, Then Narrow
If you're not sure exactly what you want, start with a broad archetype ("elderly British professor") and generate a few variations. Once you hear something close, add the specific qualities that would make it perfect ("elderly British professor, dry wit, measured pace, slight rasp").
Try Voice Design for free
Also available on Windows and macOS. One-time purchase, unlimited generations.