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Mureka AI Stem Song is a fast AI music model that creates stem song outputs via the official Mureka API. Ready-to-use REST inference API for AI music generation, vocal and instrumental stem workflows, remixing, music production, creative audio projects, and professional song creation with simple integration, no coldstarts, and affordable pricing.

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README

Mureka AI Stem Song

Mureka AI Stem Song is a fast AI music model for stem-based audio workflows. Upload a song or audio track, choose a separation model, and generate stem outputs for remixing, vocal/instrumental workflows, editing, and music production tasks.

Why Choose This?

  • Fast stem generation Separate an input track into usable stem outputs for remixing, editing, and production workflows.

  • Multiple separation models Choose between available stem models such as audio-separation-1 and audio-separation-2.

  • Simple audio workflow Upload one audio file, choose a model, and generate the separated output with minimal setup.

  • Useful for production and editing Suitable for vocal isolation, instrumental extraction, remix preparation, and creative audio workflows.

  • Production-ready API Easy to integrate into music tooling, audio apps, and content-production pipelines.

Parameters

ParameterRequiredDescription
audioYesInput audio track to process.
modelNoStem separation model to use, such as audio-separation-1 or audio-separation-2.

How to Use

  1. Upload your audio — provide the source song or audio file you want to process.
  2. Choose the model — select the separation model that best fits your workflow.
  3. Submit — run the model and download the generated stem output.

Example Use Case

Upload a full song to separate vocals and instrumental layers for remixing, re-editing, or production cleanup.

Pricing

Just $0.06 per song.

Best Use Cases

  • Stem separation — Extract parts of a track for editing and reuse.
  • Music production — Prepare vocals or instrumentals for remixing and arrangement work.
  • Content creation — Generate cleaner audio components for videos, shorts, and social content.
  • Remix workflows — Isolate audio elements for mashups, reinterpretations, and creative edits.
  • Audio cleanup and reuse — Separate usable parts of an existing recording for downstream production.

Pro Tips

  • Use the cleanest source audio available for better stem quality.
  • Try both available models if you want to compare separation behavior.
  • Full mixes with clear vocals and instrumentation often produce more usable stems.
  • Review the separated outputs before using them in final production workflows.

Notes

  • audio is required.
  • model is optional.
  • Pricing is fixed at $0.06 per song.

Related Models

  • Other Mureka AI music generation and audio processing models may be useful when you need different music or audio workflows.
नोट:यह वेबसाइट तृतीय पक्षों द्वारा प्रदान किए गए AI मॉडलों का उपयोग करती है। दस्तावेज़ की कीमतें केवल संदर्भ के लिए हैं और पुरानी हो सकती हैं। Generate बटन अनुमान दिखाता है; टास्क का अंतिम शुल्क ही मान्य होगा।

Stem Song API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/mureka-ai/stem-song 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 Stem Song 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",
    "model": "audio-separation-2"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/mureka-ai/stem-song" \
  -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/stem-song";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
        "model": "audio-separation-2"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "model": "audio-separation-2"
}

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/stem-song", 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)

Stem Song API — Frequently asked questions

What is the Stem Song API?

Stem Song is a Mureka Ai model for AI inference, exposed as a REST API on WaveSpeedAI. Mureka AI Stem Song is a fast AI music model that creates stem song outputs via the official Mureka API. Ready-to-use REST inference API for AI music generation, vocal and instrumental stem workflows, remixing, music production, creative audio projects, and professional song 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 Stem Song 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-stem-song.

How much does Stem Song cost per run?

Stem Song starts at $0.060 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 Stem Song accept?

Key inputs: `audio`, `model`. 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-stem-song.

How long does Stem Song take to generate?

Median end-to-end generation time on WaveSpeedAI is around 31 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Stem Song 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.

Stem Song | AI Music Generation API on WaveSpeedAI