Elevenlabs Flash V2 API Documentation

Elevenlabs Flash V2 API Documentation

Playground

ElevenLabs Flash V2 is a Text-to-Speech model that converts text into spoken audio using the ElevenLabs Flash V2 engine. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Flash V2 turns written text into natural-sounding speech with crisp pronunciation, smooth pacing, and expressive tone—ideal for voiceovers, narration, tutorials, podcasts, and digital content. It supports a rich library of multi-lingual voices and low-latency generation for fast workflows. See the list here.

Key Features

• Natural prosody with clear, humanlike articulation
• Multilingual support with strong English numeral/date reading
• Fine control via similarity and stability sliders
• Speaker Boost to enhance English number and unit delivery

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. Choose a voice_id (for example: Gigi, Callum, Alice; see the voice list for more).
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. Run to synthesize and preview your audio.

Notes

• For best prosody, keep sentences clear and use punctuation; split very long text into smaller chunks.
• Ensure the voice_id is valid; use the official list linked above.
• 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

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "text": "A clear example input",
  "voice_id": "Alice",
  "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/flash-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