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Qwen3 Tts Text To Speech

Qwen3 Tts Text To Speech

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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.

Features

Qwen3-TTS Text-to-Speech

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.


Why Choose This?

  • 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.


Parameters

ParameterRequiredDescription
textYesThe text to convert to speech
languageYesLanguage code or “auto” for automatic detection
voiceYesPreset voice to use (see Available Voices below)
style_instructionNoNatural language guidance for speaking style

Available Voices

VoiceDescription
VivianFemale voice
SerenaFemale voice
Ono_AnnaFemale voice
SoheeFemale voice
Uncle_FuMale voice
DylanMale voice
EricMale voice
RyanMale voice
AidenMale voice

Style Instruction Examples

  • “Speak slowly and calmly, like a meditation guide”
  • “Energetic and enthusiastic, like a sports announcer”
  • “Professional and clear, suitable for corporate presentations”
  • “Warm and friendly, like talking to a close friend”

How to Use

  1. Enter your text — write or paste the content you want to convert to speech.
  2. Select language — choose the target language or use “auto” for automatic detection.
  3. Choose a voice — select from the 9 available preset voices.
  4. Add style instruction (optional) — describe how you want the voice to sound.
  5. Run — submit and download your audio file.

Pricing

Text LengthCost
Under 1,000 chars$0.02
1,000+ chars$0.02 per 1,000 characters

Billing Rules

  • Minimum charge: $0.02 (for texts under 1,000 characters)
  • For longer texts: $0.02 × (character count / 1,000)

Best Use Cases

  • Video Voiceovers — Generate professional narration for YouTube, ads, or explainer videos.
  • Audiobook Production — Convert manuscripts into natural-sounding narration.
  • Podcasts & Broadcasting — Create consistent voice content without recording equipment.
  • E-learning & Training — Produce clear, engaging audio for educational materials.
  • Accessibility — Convert written content to audio for visually impaired users.

Pro Tips

  • Try different voices to find the best match for your content type.
  • Use style_instruction to adjust tone without changing the voice itself.
  • Match female voices (Vivian, Serena, Ono_Anna, Sohee) for softer content; male voices (Uncle_Fu, Dylan, Eric, Ryan, Aiden) for authoritative content.
  • Test with short text first to preview how the voice sounds before generating longer content.


Notes

  • All 9 voices are optimized for natural, clear speech output.
  • Style instructions work best when they describe emotion, pace, or tone rather than technical audio settings.
  • For best quality, match the language parameter to your text content.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen3-tts/text-to-speech" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "language": "auto",
    "voice": "Vivian"
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
textstringYes--The text content to convert into speech
languagestringYesautoauto, Chinese, English, German, Italian, Portuguese, Spanish, Japanese, Korean, French, RussianLanguage of the speech output (use 'auto' for automatic detection)
voicestringYesVivianVivian, Serena, Ono_Anna, Sohee, Uncle_Fu, Dylan, Eric, Ryan, AidenVoice character to use for speech synthesis
style_instructionstringNo--Optional instruction to control the speaking style, tone, or emotion

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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