Flash V2 | Realistic Voice & TTS API

ElevenLabs — Flash V2 Text-to-Speech

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

$0.05 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

Enter your script in the text field.
Choose a voice_id (for example: Gigi, Callum, Alice; see the voice list for more).
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
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.

Flash v2 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/elevenlabs/flash-v2 with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Flash v2 below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/elevenlabs/flash-v2" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "voice_id": "Alice",
    "similarity": 1,
    "stability": 0.5,
    "use_speaker_boost": true
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("elevenlabs/flash-v2", {
        "voice_id": "Alice",
        "similarity": 1,
        "stability": 0.5,
        "use_speaker_boost": true
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "elevenlabs/flash-v2",
    {
    "voice_id": "Alice",
    "similarity": 1,
    "stability": 0.5,
    "use_speaker_boost": true
}
)

print(output["outputs"][0])  # → URL of the generated output

Flash v2 API — Frequently asked questions

What is the Flash v2 API?

Flash v2 is a ElevenLabs model for audio generation, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.

How do I call the Flash v2 API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/elevenlabs/elevenlabs-flash-v2.

How much does Flash v2 cost per run?

Flash v2 starts at $0.050 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Flash v2 accept?

Key inputs: `similarity`, `stability`, `text`, `use_speaker_boost`, `voice_id`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/elevenlabs/elevenlabs-flash-v2.

How long does Flash v2 take to generate?

Average end-to-end generation time on WaveSpeedAI is around 4 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Flash v2 outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (ElevenLabs). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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