Elevenlabs Turbo V2 API Documentation

Elevenlabs Turbo V2 API Documentation

Playground

ElevenLabs Turbo V2 is a Text-To-Speech model available via WaveSpeedAI, billed at $0.05 per 1000 characters for API requests. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Turbo V2 turns written text into natural-sounding speech with clear pronunciation, smooth pacing, and expressive tone—ideal for voiceovers, narration, tutorials, podcasts, and digital content. It supports English speech generation with a rich voice library and fast turnaround for production workflows. See the list here.

Key Features

• Fast, expressive synthesis with humanlike prosody
• English-language speech generation
• Fine control via similarity and stability sliders
• Speaker Boost — enhances similarity to the original speaker’s voice.
• Works with built-in voices and your custom voice IDs

Pricing

Billed by the exact character count of the input text, prorated — no rounding up to 1,000.

• Rate: $0.10 per 1,000 characters ($100 per 1M characters)
• No minimum charge; a 100-character request costs $0.010

How to Use

1. Enter your script in the text field.
2. Set voice_id to a built-in or custom voice (for example: Alicia, Darian, Eldrin). See the full catalog in the voice list.
3. Optional controls • similarity: 0–1 (higher = closer to the base voice timbre) • stability: 0–1 (higher = more consistent delivery) • use_speaker_boost: enhances similarity to the original speaker’s voice
4. Run to synthesize and preview your audio.

Notes

• For the best rhythm, use clear punctuation and split very long text into smaller chunks.

• voice_id must be valid; if you see a voice-ID error, pick one from the official list above.

• Each request accepts 1–10,000 characters. Split longer text into separate requests.

• Use <break time="1.5s" /> to add a pause of up to 3 seconds.

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": "A clear example input",
  "voice_id": "Alicia",
  "similarity": 1,
  "stability": 0.5,
  "use_speaker_boost": true
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/elevenlabs/turbo-v2" \
  -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

Response Parameters

Result Request Parameters

Result Response Parameters