WaveSpeedAI APIElevenlabsElevenlabs Turbo V2.5

Elevenlabs Turbo V2.5

Elevenlabs Turbo V2.5

Playground

Try it on WavespeedAI!

ElevenLabs Turbo V2.5 is a text-to-speech model available via WaveSpeedAI, billed at $0.1 per 1000 characters for TTS requests. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

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

  • $0.1 per 1,000 characters

How to Use

  1. Enter your script in the text field.
  2. Choose a voice_id (for example: Gigi, Callum, Alice). Refer to the full catalog in the voice list above.
  3. 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
  4. 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.

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/turbo-v2.5" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "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
}'

# 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
textstringYesWelcome to our advanced text-to-speech system! Experience high-quality voice synthesis with natural pronunciation and clear articulation.-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_idstringYesAlice-The 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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