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elevenlabs/eleven-v4-turbo

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.

text-to-audio
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Idle

$0.04per run·~25 / $1

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README

Eleven V4 Turbo

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.

Related Models

  • 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.
Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Eleven v4 Turbo API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/elevenlabs/eleven-v4-turbo with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Eleven v4 Turbo below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_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 "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$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
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/elevenlabs/eleven-v4-turbo";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "text": "[warmly] Welcome to a new day. Take a deep breath, find your rhythm, and make a little room for something wonderful.",
        "voice_id": "Alice",
        "stability": 0.5,
        "similarity": 0.75
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "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
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/elevenlabs/eleven-v4-turbo", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Eleven v4 Turbo API — Frequently asked questions

What is the Eleven v4 Turbo API?

Eleven v4 Turbo is a ElevenLabs model for audio generation, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.

How do I call the Eleven v4 Turbo API?

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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/elevenlabs/elevenlabs-eleven-v4-turbo.

How much does Eleven v4 Turbo cost per run?

Eleven v4 Turbo starts at $0.04 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.

What inputs does Eleven v4 Turbo accept?

Key inputs: `similarity`, `stability`, `text`, `voice_id`. 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/elevenlabs/elevenlabs-eleven-v4-turbo.

How do I get started with the Eleven v4 Turbo API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Eleven v4 Turbo outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (ElevenLabs). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.

llms.txt — elevenlabs/eleven-v4-turbo for AI agents and LLMs
Eleven V4 Turbo Text-to-Speech API on WaveSpeedAI