Qwen3 TTS: Multi-language, multi-voice text-to-speech synthesis with style control. Supports 11 languages and 9 voice characters. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Idle
$0.005per run·~200 / $1
Qwen3-TTS Text-to-Speech is a high-quality text-to-speech model with a curated selection of preset voices. Choose from 9 distinct voices spanning different genders and speaking styles, with optional style instructions to fine-tune the delivery.
Curated voice library 9 preset voices with distinct personalities — from professional narrators to friendly conversational tones.
Style instruction support Guide the speaking style with natural language instructions for customized delivery.
Auto language detection Set language to "auto" and the model intelligently detects the language from your text.
Simple and fast Straightforward interface — select a voice, enter text, and generate.
| Parameter | Required | Description |
|---|---|---|
| text | Yes | The text to convert to speech |
| language | Yes | Language code or "auto" for automatic detection |
| voice | Yes | Preset voice to use (see Available Voices below) |
| style_instruction | No | Natural language guidance for speaking style |
| Voice | Description |
|---|---|
| Vivian | Female voice |
| Serena | Female voice |
| Ono_Anna | Female voice |
| Sohee | Female voice |
| Uncle_Fu | Male voice |
| Dylan | Male voice |
| Eric | Male voice |
| Ryan | Male voice |
| Aiden | Male voice |
| Text Length | Cost |
|---|---|
| Under 100 chars | $0.005 |
| 100+ chars | $0.005 per 100 characters |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen3-tts/text-to-speech with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Qwen3 Tts Text To Speech below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen3-tts/text-to-speech" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"language": "auto",
"voice": "Vivian"
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/qwen3-tts/text-to-speech", {
"language": "auto",
"voice": "Vivian"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/qwen3-tts/text-to-speech",
{
"language": "auto",
"voice": "Vivian"
}
)
print(output["outputs"][0]) # → URL of the generated outputQwen3 Tts Text To Speech is a WaveSpeedAI model for audio generation, exposed as a REST API on WaveSpeedAI. Qwen3 TTS: Multi-language, multi-voice text-to-speech synthesis with style control. Supports 11 languages and 9 voice characters. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/qwen3-tts-text-to-speech.
Qwen3 Tts Text To Speech starts at $0.005 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `language`, `style_instruction`, `text`, `voice`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/qwen3-tts-text-to-speech.
Average end-to-end generation time on WaveSpeedAI is around 13 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.