Turbo V2.5 | Realistic Voice & TTS API

ElevenLabs — Turbo V2.5 Text-to-Speech

Turbo V2.5 converts written text into natural, expressive speech with clear pronunciation, smooth pacing, and lively tone—ideal for voiceovers, narration, tutorials, podcasts, and digital content. It supports a rich library of multi-lingual voices and fast turnaround for production workflows. See the list here.

Key Features

Fast, expressive synthesis with humanlike prosody
Multilingual support plus strong English numeral/date reading
Fine control via similarity and stability sliders
Speaker Boost for crisper English numbers, times, and measurements

Pricing

$0.05 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

Enter your script in the text field.
Choose a voice_id (for example: Gigi, Callum, Alice). Refer to the full catalog in the voice list above.
Optional controls • similarity: 0–1 (higher = closer to the base voice timbre) • stability: 0–1 (higher = more consistent delivery) • use_speaker_boost: improves English number and unit reading
Click Run to synthesize and preview your audio.

Notes

For steady rhythm, use clear punctuation and split very long text into shorter segments.
voice_id must be valid; if you see a voice-ID error, select one from the official list.
Speaker Boost is especially helpful for finance, time, and measurement scripts.

Turbo v2.5 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/elevenlabs/turbo-v2.5 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 URLs from data.outputs. Examples for Turbo v2.5 below.

HTTP example

# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
  -X POST "https://api.wavespeed.ai/api/v3/elevenlabs/turbo-v2.5" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "voice_id": "Alice",
    "similarity": 1,
    "stability": 0.5,
    "use_speaker_boost": true
}'

# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
  --retry 4 --retry-all-errors --retry-delay 1 \
  -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.

Node.js example

// npm install wavespeed
const { Client } = require('wavespeed');

const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey, {
  maxConnectionRetries: 5,
  retryInterval: 1.0,
});

try {
  const result = await client.run("elevenlabs/turbo-v2.5", {
        "voice_id": "Alice",
        "similarity": 1,
        "stability": 0.5,
        "use_speaker_boost": true
}, {
    timeout: 3600,
    pollInterval: 2.0,
  });
  console.log(result.outputs);
} catch (error) {
  console.error('Generation failed:', error);
  process.exitCode = 1;
}

Python example

# pip install wavespeed
import os
from wavespeed import Client

client = Client(
    api_key=os.environ["WAVESPEED_API_KEY"],
    max_connection_retries=5,
    retry_interval=1.0,
)

try:
    output = client.run(
        "elevenlabs/turbo-v2.5",
        {
    "voice_id": "Alice",
    "similarity": 1,
    "stability": 0.5,
    "use_speaker_boost": true
},
        timeout=3600.0,
        poll_interval=2.0,
    )
    print(output["outputs"])
except Exception as error:
    raise SystemExit(f"Generation failed: {error}") from error

Turbo v2.5 API — Frequently asked questions

What is the Turbo v2.5 API?

Turbo v2.5 is a ElevenLabs model for audio generation, exposed as a REST API on WaveSpeedAI. ElevenLabs Turbo V2.5 is a text-to-speech model available via WaveSpeedAI, billed at $0.05 per 1000 characters for TTS requests. 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 Turbo v2.5 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 production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/elevenlabs/elevenlabs-turbo-v2.5.

How much does Turbo v2.5 cost per run?

Turbo v2.5 starts at $0.050 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 Turbo v2.5 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-turbo-v2.5.

How long does Turbo v2.5 take to generate?

Average end-to-end generation time on WaveSpeedAI is around 4 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Turbo v2.5 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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