Elevenlabs Multilingual V2 API Documentation

Elevenlabs Multilingual V2 API Documentation

Playground

ElevenLabs Multilingual V2 is a multilingual text-to-speech model; cost $0.1 per 1000 characters. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Multilingual V2 converts written text into natural, expressive speech across multiple languages. It delivers clear pronunciation, smooth pacing, and lifelike tone—ideal for voiceovers, narration, learning content, product videos, and global customer support. See the list here.

Key Features

• High naturalness with humanlike intonation and timing
• Strong multilingual support and improved accent handling
• Tunable delivery via similarity and stability
• Speaker Boost — enhances similarity to the original speaker’s voice.

Pricing

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

• Rate: $0.20 per 1,000 characters ($200 per 1M characters)
• No minimum charge; a 100-character request costs $0.020

How to Use

1. Enter your script in the text field.
2. Choose a voice_id from the built-in catalog or your custom voices. See the voice list for options.
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. Click Run to synthesize and preview your audio.

Notes

• Use clear punctuation and split very long text into shorter segments for the most stable prosody.

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

• Speaker Boost may slightly increase generation latency.

• 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/multilingual-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