Elevenlabs Eleven V4 Turbo API Documentation

Elevenlabs Eleven V4 Turbo API Documentation

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Eleven V4 Turbo Text-to-Speech converts text into expressive multilingual speech with configurable voice selection, stability, and similarity controls for narration, dialogue, localization, virtual assistants, and scalable voice production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Eleven V4 Turbo converts text into expressive, natural-sounding speech with an emphasis on fast generation. Choose a preset or custom voice, guide the performance with inline audio tags, and adjust voice stability and similarity for narration, voiceovers, dialogue, and character performances.

The Turbo variant is designed for workflows where lower latency matters while retaining expressive delivery and multilingual speech generation.


Why Choose This?

  • Fast text-to-speech generation
    Generate speech with the Turbo variant for lower-latency voice workflows.

  • Expressive delivery
    Use inline audio tags such as [whispering] and [laughing] to guide how individual parts of the script are performed.

  • Preset and custom voices
    Choose a suggested voice or provide a custom voice_id.

  • Multilingual speech
    Generate spoken content across multiple languages.

  • Voice controls
    Adjust stability and similarity to control delivery consistency and resemblance to the selected voice.

  • MP3 output
    Receive the generated speech as a downloadable audio file.


Parameters

ParameterRequiredDescription
textYesText to convert into speech. Inline audio tags can be included to guide delivery.
voice_idYesSuggested voice name or custom voice ID. Default: Alice.
stabilityNoControls delivery consistency. Range: 0–1. Default: 0.5.
similarityNoControls similarity to the selected voice. Range: 0–1. Default: 0.75.

How to Use

  1. Enter the text — Provide the script you want spoken.
  2. Choose a voice — Select a suggested voice or provide a custom voice ID.
  3. Add expressive cues optional — Use supported audio tags such as [whispering] or [laughing] where needed.
  4. Adjust voice controls optional — Set stability and similarity to tune the performance.
  5. Submit — Generate the speech and retrieve the MP3 audio file.

Pricing

Pricing is $0.04 per 1,000 input characters, prorated according to the actual length of text.

Input CharactersPrice
100$0.004
500$0.020
1,000$0.040
10,000$0.400

Best Use Cases

  • Narration — Generate natural speech for explainers, stories, tutorials, and educational content.
  • Voiceovers — Create spoken audio for videos, advertisements, presentations, and social content.
  • Character performances — Use expressive tags and voice controls for character dialogue and performance-driven speech.
  • Multilingual content — Generate spoken content for localized and international workflows.
  • Rapid voice prototyping — Test scripts and voice directions quickly with the lower-latency Turbo model.
  • Short-form content — Generate voice tracks for reels, shorts, product videos, and other fast-turnaround media.

Pro Tips

  • Keep the written script natural and conversational for more natural speech.
  • Use expressive audio tags only where the delivery needs to change.
  • Use stability to adjust how consistent the performance should remain across the script.
  • Adjust similarity when you want to change how closely the result follows the selected voice.
  • Keep punctuation intentional because it can influence pauses and phrasing.
  • Split longer scripts into multiple requests when separate sections need different voices or delivery styles.

Notes

  • text supports 1–10000 characters.
  • Spaces, punctuation, and audio tags count toward pricing.
  • Requests are billed proportionally by character count.
  • Voice availability depends on access to the selected voice.
  • Audio tags guide delivery but do not guarantee an exact performance.
  • SSML, separate style controls, and speed controls are not exposed by this endpoint.
  • The endpoint returns an audio file rather than a live audio stream.

  • Eleven V4 Turbo — Generate expressive speech with lower-latency text-to-speech generation.
  • Eleven V4 — Generate expressive text-to-speech with the standard Eleven V4 model.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "text": "[warmly] Welcome to a new day. Take a deep breath, find your rhythm, and make a little room for something wonderful.",
  "voice_id": "Alice",
  "stability": 0.5,
  "similarity": 0.75
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/elevenlabs/eleven-v4-turbo" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
textstringYes--Text to convert to speech. Supports expressive audio tags such as [whispering] and [laughing]. Maximum 10,000 characters for this endpoint.
voice_idstringYesAlice-Choose a suggested voice or enter a custom voice ID available to the account.
stabilitynumberNo0.50 ~ 1How consistent the delivery stays. Lower values allow more expressive variation; higher values favor consistency.
similaritynumberNo0.750 ~ 1How closely the generated speech follows the selected voice. Higher values increase voice similarity.

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.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
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
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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