Elevenlabs Multilingual V2

Elevenlabs Multilingual V2

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

ElevenLabs — Multilingual V2 Text-to-Speech

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 for clearer English numerals, dates, and units

Pricing

• $0.1 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

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: improves English number and unit reading
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 is especially helpful for financial, time, and measurement reads in English.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/elevenlabs/multilingual-v2" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "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}"