Mureka AI V9 Generate Song is a fast AI music generation model that creates high-quality songs via the official Mureka API. Ready-to-use REST inference API for AI song generation, lyrics-to-music workflows, vocal music creation, demo production, creative audio projects, and professional music generation with simple integration, no coldstarts, and affordable pricing.
Idle
$0.045per run·~22 / $1
Mureka AI V9 Generate Song creates full songs from lyrics with optional style guidance and optional reference inputs for melody, vocals, or overall musical direction. It is suitable for songwriting, demo generation, vocal-guided creation, and fast music prototyping workflows.
Lyrics-to-song generation Turn written lyrics into complete song outputs with minimal setup.
Optional style prompting
Add a prompt to guide genre, mood, instrumentation, arrangement, or production style.
Reference-based control
Use optional reference_id, vocal_id, or melody_id inputs to steer the result more precisely.
Multiple generations per run
Generate up to 3 songs in a single request with number_of_songs.
Flexible output formats
Export generated songs as mp3, wav, or flac.
Simple pricing Pricing depends only on how many songs you generate.
| Parameter | Required | Description |
|---|---|---|
| lyrics | Yes | Lyrics for the generated song. Official limit: up to 3000 characters. |
| prompt | No | Optional style prompt for the song. Official limit: up to 1024 characters. |
| number_of_songs | No | Number of generations. Range: 1–3. Default: 1. |
| output_format | No | Output audio format after re-uploading to WaveSpeed CDN. Supported values: mp3, wav, flac. Default: mp3. |
| reference_id | No | Optional Mureka uploaded reference file ID. |
| vocal_id | No | Optional Mureka uploaded vocal file ID. |
| melody_id | No | Optional Mureka uploaded melody file ID. |
reference_id, vocal_id, or melody_id if you want more control over the result.1 to 3.mp3, wav, or flac.Emotional pop ballad with piano, warm strings, cinematic chorus, expressive female vocal, polished modern production
Pricing is based on number_of_songs.
| Number of Songs | Cost |
|---|---|
| 1 | $0.045 |
| 2 | $0.09 |
number_of_songsprompt, output_format, reference_id, vocal_id, and melody_id do not affect pricingnumber_of_songs.prompt to specify genre, instrumentation, vocal tone, tempo, and production feel.number_of_songs when you want multiple variations from the same lyrics.reference_id, vocal_id, or melody_id only when you want tighter guidance over the output.mp3 for convenience, then use wav or flac when higher-quality output matters more.lyrics is required.number_of_songs supports values from 1 to 3.lyrics supports up to 3000 characters.prompt supports up to 1024 characters.output_format defaults to mp3.number_of_songs.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v9/generate-song with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Mureka v9 Generate Song below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"lyrics": "example",
"number_of_songs": 1,
"output_format": "mp3"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v9/generate-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
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v9/generate-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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"lyrics": "example",
"number_of_songs": 1,
"output_format": "mp3"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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));
}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 = {
"lyrics": "example",
"number_of_songs": 1,
"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-v9/generate-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 v9 Generate Song is a Mureka Ai model for audio generation, exposed as a REST API on WaveSpeedAI. Mureka AI V9 Generate Song is a fast AI music generation model that creates high-quality songs via the official Mureka API. Ready-to-use REST inference API for AI song generation, lyrics-to-music workflows, vocal music creation, demo production, creative audio projects, and professional music generation with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.
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-v9-generate-song.
Mureka v9 Generate Song starts at $0.045 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.
Key inputs: `prompt`, `lyrics`, `melody_id`, `number_of_songs`, `output_format`, `reference_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/mureka-ai/mureka-ai-mureka-v9-generate-song.
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.
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.