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Mureka AI Upload Audio API

mureka-ai/

Mureka AI Upload Audio is a fast audio upload utility that creates a reusable Mureka upload ID from an audio URL via the official Mureka API. Ready-to-use REST inference API for audio asset preparation, AI song generation, vocal cloning workflows, reference audio management, music production, creative audio projects, and professional music workflows with simple integration, no coldstarts, and affordable pricing.

text-to-audio
Input

Idle

{
  "id": "140567225040898",
  "purpose": "audio",
  "audio_id": "140567225040898"
}

$0.01per run·~100 / $1

ExamplesView all

Related Models

README

Mureka AI Create Upload ID

Mureka AI Create Upload ID is a utility workflow that uploads an audio file to the Mureka system and returns a reusable Mureka asset ID for downstream generation tasks. It is designed for preparing reference audio, melody inputs, vocal inputs, remix assets, and other reusable audio resources across the Mureka model ecosystem.

Why Choose This?

  • Reusable Mureka asset IDs Upload an audio file once and reuse the returned ID in compatible Mureka workflows.

  • Purpose-based asset preparation Choose the intended asset type with purpose, such as audio, instrumental, melody, reference, remix, vocal, or voice.

  • Simple upload workflow Provide one audio file, choose a purpose, and receive a reusable ID with minimal setup.

  • Useful across Mureka pipelines Helps prepare audio inputs for song generation, vocal workflows, melody guidance, and reference-based music tasks.

  • Production-ready API Suitable for asset preparation, reusable audio management, and larger Mureka music production pipelines.

Parameters

ParameterRequiredDescription
audioYesSource audio file to upload into the Mureka system.
purposeNoIntended asset type for the uploaded audio. Supported values: audio, instrumental, melody, reference, remix, vocal, voice. Default: audio.

How to Use

  1. Upload your audio — provide the source audio file you want to register in Mureka.
  2. Choose the purpose — select the asset type that best matches how the uploaded file will be used later.
  3. Submit — run the upload request.
  4. Save the returned ID — reuse the returned Mureka upload ID in compatible downstream Mureka workflows.

Example Output

{
  "id": "140567225040898",
  "purpose": "audio",
  "audio_id": "140567225040898"
}

Pricing

Just $0.01 per request.

Billing Rules

  • Each upload ID creation request costs $0.01
  • Pricing is fixed per request
  • purpose does not affect pricing

Best Use Cases

  • Audio asset preparation — Upload reusable audio assets for downstream Mureka workflows.
  • Melody-guided generation — Prepare melody inputs for compatible music generation models.
  • Reference audio workflows — Register reference clips for style or structure guidance.
  • Vocal and voice workflows — Prepare vocal assets for compatible clone or generation tasks.
  • Remix pipelines — Store reusable source audio for remix-oriented workflows.

Pro Tips

  • Choose the correct purpose so the returned asset is easier to reuse in the right downstream workflow.
  • Keep the returned ID saved somewhere reliable, since it may be needed later in generation requests.
  • Use clean audio files for better downstream compatibility.
  • Create upload IDs ahead of time if you are building a multi-step Mureka workflow.

Notes

  • audio is required.
  • purpose defaults to audio.
  • The returned ID is intended for Mureka-related workflows only.
  • This utility creates a reusable uploaded asset ID rather than generating music directly.
  • The exact returned field name may reflect the selected purpose in downstream usage patterns.

Related Models

Upload Requirements

  • This model accepts public audio file URLs through the audio field. Keep the field name as audio for API compatibility.

  • Supported formats: .mp3, .m4a.

  • Available purposes: audio, instrumental, melody, reference, remix, vocal, voice.

  • melody can also support .mid in the backend, but the frontend uploader is configured for audio files only. Non-audio purposes such as lyrics-video and soundtrack are not exposed here because they require image or video uploads.

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

Create Upload Id API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/mureka-ai/create-upload-id 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 Create Upload Id 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",
    "purpose": "audio"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/mureka-ai/create-upload-id" \
  -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/create-upload-id";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
        "purpose": "audio"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "purpose": "audio"
}

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/create-upload-id", 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)

Create Upload Id API — Frequently asked questions

What is the Create Upload Id API?

Create Upload Id is a Mureka Ai model for audio generation, exposed as a REST API on WaveSpeedAI. Mureka AI Upload Audio is a fast audio upload utility that creates a reusable Mureka upload ID from an audio URL via the official Mureka API. Ready-to-use REST inference API for audio asset preparation, AI song generation, vocal cloning workflows, reference audio management, music production, creative audio projects, and professional music workflows 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 Create Upload Id 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-create-upload-id.

How much does Create Upload Id cost per run?

Create Upload Id starts at $0.010 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 Create Upload Id accept?

Key inputs: `audio`, `purpose`. 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-create-upload-id.

How do I get started with the Create Upload Id 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 Create Upload Id 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.

Mureka AI Upload Audio API on WaveSpeedAI