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Mureka 9.5 Prompt-to-Song creates complete AI songs from text prompts via the Mureka official API, supporting prompt-based songwriting, vocals, instrumentals, music demos, social content, and creative audio production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-audio
Input
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Idle

$0.75per run·~13 / $10

ExamplesView all

A hopeful futuristic synth-pop song about finding home among the stars

Related Models

README

Mureka V9.5 Prompt-to-Song

Mureka V9.5 Prompt-to-Song generates one complete song from a natural-language prompt, optional style selections, and optional Mureka reference or vocal IDs. This endpoint can create both lyrics and musical arrangement for you, making it useful when you want a full song from a high-level creative direction.

Why Choose This?

  • Prompt-to-song generation
    Generate a complete song from a written music description.

  • Auto lyrics and arrangement
    Let the model create lyrics, melody, vocals, and arrangement from your prompt and style settings.

  • Optional style control
    Use styles to guide the genre or musical direction.

  • Reference ID support
    Use existing Mureka reference or vocal IDs for stronger style or vocal guidance.

  • Multiple output formats
    Choose mp3, wav, or flac based on your workflow needs.

Parameters

ParameterRequiredDescription
promptNoOptional song description, including genre, mood, instruments, tempo, theme, vocal direction, or production style.
stylesNoOptional style selections, such as pop, rock, jazz, r&b, edm, or lo-fi.
output_formatNoOutput audio format: mp3, wav, or flac.
reference_idNoExisting Mureka reference file ID used to guide the song style or audio direction.
vocal_idNoExisting Mureka vocal file ID used to guide the vocal identity or singing style.

At least one useful generation control should normally be supplied, such as prompt, styles, reference_id, or vocal_id.

How to Use

  1. Write a prompt optional — Describe the song theme, genre, mood, instruments, tempo, vocal style, and production direction.
  2. Choose styles optional — Add one or more style selections to guide the genre or sound.
  3. Add reference IDs optional — Use reference_id or vocal_id when you want stronger control.
  4. Choose output format — Select mp3, wav, or flac.
  5. Submit — Generate the full song and retrieve the output URL.

Pricing

Pricing is fixed at $0.750 per song.

OutputCost
One generated song$0.750

Each request generates one song. output_format, styles, reference_id, and vocal_id do not add separate charges.

Best Use Cases

  • Prompt-based song creation — Generate a full song from a short creative description.
  • Auto lyrics workflows — Let the model create lyrics and arrangement automatically.
  • Demo production — Quickly create song demos for creative review.
  • Style exploration — Test different genres, moods, and vocal directions from the same idea.
  • Vocal-guided generation — Use a vocal_id when a specific vocal identity or singing style matters.
  • Reference-based music creation — Use reference_id to guide style, arrangement, or audio direction.

Pro Tips

  • Use a clear prompt with genre, mood, tempo, instruments, vocal style, and theme.
  • Add styles when you want stronger genre direction.
  • Use reference_id when you want the song to follow an existing musical reference.
  • Use vocal_id when vocal identity or singing style matters.
  • Choose mp3 for compact delivery, or wav / flac when higher-quality audio files are needed.
  • Keep the prompt focused on the final song direction instead of listing too many unrelated styles.

Notes

  • reference_id can be prepared with Create Upload ID.
  • vocal_id can be created with Vocal Clone.
  • Use IDs from compatible Mureka workflows to avoid reference mismatch.
  • Changing output_format does not add a format surcharge.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Mureka v9.5 Prompt To Song API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v9.5/prompt-to-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 v9.5 Prompt To Song below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "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-v9.5/prompt-to-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="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 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' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v9.5/prompt-to-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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "output_format": "mp3"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  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 = {
    "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-v9.5/prompt-to-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 = 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", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Mureka v9.5 Prompt To Song API — Frequently asked questions

What is the Mureka v9.5 Prompt To Song API?

Mureka v9.5 Prompt To Song is a Mureka Ai model for audio generation, exposed as a REST API on WaveSpeedAI. Mureka 9.5 Prompt-to-Song creates complete AI songs from text prompts via the Mureka official API, supporting prompt-based songwriting, vocals, instrumentals, music demos, social content, and creative audio production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Mureka v9.5 Prompt To 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-v9.5-prompt-to-song.

How much does Mureka v9.5 Prompt To Song cost per run?

Mureka v9.5 Prompt To Song starts at $0.75 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 v9.5 Prompt To Song accept?

Key inputs: `prompt`, `output_format`, `styles`. 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-v9.5-prompt-to-song.

How do I get started with the Mureka v9.5 Prompt To 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 v9.5 Prompt To 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 9.5 Prompt-to-Song API on WaveSpeedAI