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Mureka V8 Extend Song | AI Music Generation API

mureka-ai/

Mureka AI V8 Extend Song is a fast AI music generation model that extends existing songs via the official Mureka API. Ready-to-use REST inference API for lengthening tracks, continuing song ideas, expanding demos, remix workflows, creative audio projects, and professional music production with simple integration, no coldstarts, and affordable pricing.

text-to-audio
Input

Idle

$0.1per run·~10 / $1

ExamplesView all

Related Models

README

Mureka AI V8 Extend Song

Mureka AI V8 Extend Song extends an existing song or audio track by generating a new continuation segment from the head or tail, guided by provided lyrics. It is suitable for song continuation, outro generation, intro extension, and other music editing workflows where you want to grow an existing track instead of generating a new one from scratch.

Why Choose This?

  • Song continuation workflow Extend an existing audio track with newly generated music and vocals.

  • Head or tail extension Choose whether to extend from the beginning or the end of the source audio.

  • Lyrics-guided extension Provide lyrics for the new segment so the continuation matches your intended content.

  • Simple extension control Use extend_at to define where the extension should begin.

  • Flexible output formats Export the extended result as mp3, wav, or flac.

  • Production-ready API Suitable for music editing, song completion, structure expansion, and content production workflows.

Parameters

ParameterRequiredDescription
audioYesSource audio URL to extend. It will be uploaded to Mureka as audio.
lyricsYesLyrics for the extension segment.
extend_atYesExtension position in milliseconds.
extend_typeNoWhether to extend from the tail or head of the source audio. Default: tail.
output_formatNoOutput audio format after re-uploading to WaveSpeed CDN. Supported values: mp3, wav, flac. Default: mp3.

How to Use

  1. Upload your source audio — provide the existing song or audio track you want to extend.
  2. Write the extension lyrics — enter the lyrics for the new segment.
  3. Set extend_at — define the position in the source audio where the extension should begin.
  4. Choose extension type — use tail to extend from the end or head to extend from the beginning.
  5. Choose output format — select mp3, wav, or flac.
  6. Submit — run the model and download the extended song.

Example Use Case

Extend a demo track from the last chorus by adding a new lyrical outro section with matching musical style and vocal continuation.

Best Use Cases

  • Song continuation — Add a new ending or next section to an existing track.
  • Intro or outro generation — Extend the front or back of a song with new material.
  • Demo finishing — Turn partial song ideas into more complete structures.
  • Music editing workflows — Expand tracks without rebuilding them from scratch.
  • Creative experimentation — Try alternate continuations from a chosen point in the song.

Pro Tips

  • Use lyrics that match the tone and structure of the existing audio for smoother continuation.
  • Choose tail when you want to add a new ending or next section.
  • Choose head when you want to generate an intro or earlier lead-in material.
  • Use wav or flac when you want higher-quality outputs for further production work.
  • Make sure the source audio is clear and complete enough around the extension point for better results.

Notes

  • audio, lyrics, and extend_at are required.
  • extend_at specifies the position in the source audio where the extension begins.
  • extend_at is measured in milliseconds.
  • extend_type defaults to tail.
  • output_format defaults to mp3.

Related Models

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

Mureka v8 Extend Song API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v8/extend-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 Mureka v8 Extend 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",
    "lyrics": "example",
    "extend_at": 30000,
    "extend_type": "tail",
    "output_format": "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/mureka-v8/extend-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/mureka-v8/extend-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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
        "lyrics": "example",
        "extend_at": 30000,
        "extend_type": "tail",
        "output_format": "mp3"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "lyrics": "example",
    "extend_at": 30000,
    "extend_type": "tail",
    "output_format": "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/mureka-v8/extend-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)

Mureka v8 Extend Song API — Frequently asked questions

What is the Mureka v8 Extend Song API?

Mureka v8 Extend Song is a Mureka Ai model for audio generation, exposed as a REST API on WaveSpeedAI. Mureka AI V8 Extend Song is a fast AI music generation model that extends existing songs via the official Mureka API. Ready-to-use REST inference API for lengthening tracks, continuing song ideas, expanding demos, remix workflows, creative audio projects, and professional music production 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 Mureka v8 Extend 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-mureka-v8-extend-song.

How much does Mureka v8 Extend Song cost per run?

Mureka v8 Extend Song starts at $0.10 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 Mureka v8 Extend Song accept?

Key inputs: `audio`, `extend_at`, `extend_type`, `lyrics`, `output_format`. 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-mureka-v8-extend-song.

How do I get started with the Mureka v8 Extend Song 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 Mureka v8 Extend 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.

Mureka V8 Extend Song | AI Music Generation API on WaveSpeedAI