WaveSpeedAI APIElevenlabsElevenlabs Multilingual V1

Elevenlabs Multilingual V1

Elevenlabs Multilingual V1

Playground

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ElevenLabs Multilingual V1 provides natural-sounding multilingual text-to-speech across many languages. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

ElevenLabs — Multilingual V1 Text-to-Speech

Multilingual V1 turns text into natural, expressive speech across multiple languages. It delivers clean pronunciation, smooth pacing, and controllable tone—great for voiceovers, narrations, learning content, and product videos.


🎧 Key Features

  • Multilingual synthesis with automatic accent handling
  • Humanlike intonation and timing; clear number/date reading
  • Tone controls via similarity and stability
  • Speaker boost for crisper English numerals and units
  • Large built-in voice library (see the voice list)

💰 Pricing

  • $0.10 per 1,000 characters
  • If the input length is less than 1000 characters, it will be counted as 1000 characters to pay.

🚀 How to Use

  1. Enter your text in the text field.
  2. Set voice_id to a built-in voice name (for example: Callum, Alice, Elli). For more options, use the voice list above.
  3. Optional controls • similarity: 0–1 (higher = closer to the base voice’s timbre) • stability: 0–1 (higher = more consistent delivery) • use_speaker_boost: improves English number and unit reading
  4. Click Run to generate and preview your audio.

📝 Notes

  • Works best with clear punctuation and short sentences; split very long text into segments.
  • voice_id must match a valid ID, if you see an invalid-voice error, pick one from the voice list.
  • use_speaker_boost is especially helpful for English financial, time, and measurement reads.

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/elevenlabs/multilingual-v1" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "voice_id": "Alice",
    "similarity": 1,
    "stability": 0.5,
    "use_speaker_boost": true
}'

# 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--Text to convert to speech. Every character is 1 token. Maximum 10000 characters. Use <#x#> between words to control pause duration (0.01-99.99s).
voice_idstringYesAliceAria, Roger, Sarah, Laura, Charlie, George, Callum, River, Liam, Charlotte, Alice, Matilda, Will, Jessica, Eric, Chris, Brian, Daniel, Lily, BillThe voice to use for speech generation
similaritynumberNo10.00 ~ 1.00High enhancement boosts overall voice clarity and target speaker similarity. Very high values can cause artifacts, so adjusting this setting to find the optimal value is encouraged.
stabilitynumberNo0.50.00 ~ 1.00Voice stability (0-1) Default value: 0.5
use_speaker_boostbooleanNotrue-This parameter supports English text normalization, which improves performance in number-reading scenarios.

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

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