Eleven V3 | Realistic Voice & TTS API

ElevenLabs — Eleven V3 Text-to-Speech

Eleven V3 converts written text into natural, expressive speech using ElevenLabs’ advanced deep-learning speech synthesis technology. It delivers clear pronunciation, smooth pacing, and lifelike emotion — ideal for voiceovers, narrations, podcasts, and digital content.

🎧 Key Features

High Naturalness — produces human-like intonation, timing, and articulation.
Multi-Language Support — generate voices in multiple global languages with automatic accent adaptation.
Customizable Parameters — control tone and realism via similarity and stability settings.
Speaker Boost — enhances clarity for English numerals, times, and measurements.
Wide Voice Library — choose from a rich set of built-in voices (see voice list here).

💰 Pricing

Just $0.1 per 1,000 characters !!!

Billing Rules

If the input length is less than 1000 characters, it will be counted as 1000 characters to pay.

🚀 How to Use

Enter your text in the text field (up to 5,000 characters).
Select a voice from the voice_id dropdown (e.g., Alice, Elli, George).
Adjust optional parameters:

similarity: 0–1 (higher = closer to base voice tone)
stability: 0–1 (higher = consistent delivery)
use_speaker_boost: enhances number reading in English.

Click Run to generate and preview your audio.

📝 Notes

Audio output is returned in MP3 format.
Works best for English, but supports multiple languages.
Long texts may require splitting for stable generation.
Ensure text avoids ambiguous punctuation for optimal rhythm and tone.
If the model returns an error message like incorrect voice ID, please modify the code according to the table mentioned earlier voice list here.

Eleven v3 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/elevenlabs/eleven-v3 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 Eleven v3 below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/elevenlabs/eleven-v3" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "text": "Welcome to our advanced text-to-speech system! Experience high-quality voice synthesis with natural pronunciation and clear articulation.",
    "voice_id": "Alice",
    "similarity": 1,
    "stability": 0.5,
    "use_speaker_boost": true
}'

# 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].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("elevenlabs/eleven-v3", {
        "text": "Welcome to our advanced text-to-speech system! Experience high-quality voice synthesis with natural pronunciation and clear articulation.",
        "voice_id": "Alice",
        "similarity": 1,
        "stability": 0.5,
        "use_speaker_boost": true
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "elevenlabs/eleven-v3",
    {
    "text": "Welcome to our advanced text-to-speech system! Experience high-quality voice synthesis with natural pronunciation and clear articulation.",
    "voice_id": "Alice",
    "similarity": 1,
    "stability": 0.5,
    "use_speaker_boost": true
}
)

print(output["outputs"][0])  # → URL of the generated output

Eleven v3 API — Frequently asked questions

What is the Eleven v3 API?

Eleven v3 is a ElevenLabs model for audio generation, exposed as a REST API on WaveSpeedAI. ElevenLabs eleven-v3 is a text-to-speech model available as a hosted endpoint; requests cost $0.1 per 1000 characters. 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 v3 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 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/elevenlabs/elevenlabs-eleven-v3.

How much does Eleven v3 cost per run?

Eleven v3 starts at $0.10 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 v3 accept?

Key inputs: `similarity`, `stability`, `text`, `use_speaker_boost`, `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-v3.

How long does Eleven v3 take to generate?

Average end-to-end generation time on WaveSpeedAI is around 3 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Eleven v3 outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (ElevenLabs). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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