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Mureka AI Vocal Clone API

mureka-ai/

Mureka AI Vocal Clone is a fast AI voice cloning model that creates a Mureka vocal clone ID from a short vocal audio sample. Ready-to-use REST inference API for authorized vocal cloning, custom singing voices, AI song generation, music production, demo creation, personalized audio workflows, and professional voice-based music creation with simple integration, no coldstarts, and affordable pricing.

audio-to-audio
Input

Idle

{
  "id": "140563370409985",
  "vocal_id": "140563370409985"
}

$5per run

ExamplesView all

Related Models

README

Mureka AI Vocal Clone

Mureka AI Vocal Clone creates a reusable Mureka vocal clone ID from a short vocal audio sample. The returned vocal_id can then be used in compatible Mureka song-generation workflows to guide vocal identity and voice style.

Why Choose This?

  • Voice cloning for Mureka workflows Create a reusable vocal identity from a single uploaded audio sample.

  • Simple input Upload one vocal audio clip and generate a clone ID with minimal setup.

  • Reusable output The result is a vocal_id that can be plugged into supported Mureka models later.

  • Fast workflow Useful for personalized singing voices, recurring character vocals, and custom music-production pipelines.

  • Production-ready API Suitable for music generation workflows that need a stable custom voice reference.

Parameters

ParameterRequiredDescription
audioYesVocal audio sample used to create the clone.

How to Use

  1. Upload your vocal sample — provide a clean audio clip of the voice you want to clone.
  2. Submit — run the cloning request.
  3. Save the returned ID — use the returned vocal_id in supported Mureka generation workflows.

Example Output

{
  "id": "140563370409985",
  "vocal_id": "140563370409985"
}

Pricing

Just $5.00 per request.

Billing Rules

  • Each vocal clone request costs $5.00
  • Pricing is fixed per request

Best Use Cases

  • Custom singing voice creation — Build a reusable voice identity for song generation.
  • Recurring voice workflows — Keep a consistent vocal style across multiple songs.
  • Music production prototyping — Test personalized vocal generation in downstream Mureka models.
  • Character voice creation — Create a recognizable vocal identity for creative music projects.

Pro Tips

  • Use a clean vocal recording with minimal background noise.
  • Clear pronunciation and stable vocal tone usually improve clone quality.
  • Save the returned vocal_id carefully so it can be reused later.
  • Test the clone in downstream Mureka song workflows to validate the result.

Notes

  • audio is required.
  • The returned output is a Mureka-specific vocal_id.
  • This ID is intended for use with Mureka-related models only.
  • The result is not a general-purpose voice clone identifier outside the Mureka ecosystem.

Related Models

Note:This website uses AI models provided by third parties.

Vocal Clone API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/mureka-ai/vocal-clone with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Vocal Clone below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/mureka-ai/vocal-clone" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/mureka-ai/vocal-clone";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/mureka-ai/vocal-clone", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Vocal Clone API — Frequently asked questions

What is the Vocal Clone API?

Vocal Clone is a Mureka Ai model for AI inference, exposed as a REST API on WaveSpeedAI. Mureka AI Vocal Clone is a fast AI voice cloning model that creates a Mureka vocal clone ID from a short vocal audio sample. Ready-to-use REST inference API for authorized vocal cloning, custom singing voices, AI song generation, music production, demo creation, personalized audio workflows, and professional voice-based music creation with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Vocal Clone 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/mureka-ai/mureka-ai-vocal-clone.

How much does Vocal Clone cost per run?

Vocal Clone starts at $5.00 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 Vocal Clone accept?

Key inputs: `audio`. 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/mureka-ai/mureka-ai-vocal-clone.

How do I get started with the Vocal Clone API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Vocal Clone outputs commercially?

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