Mureka AI Mureka V9.5 Generate Bgm API Documentation
Playground
Try it on WaveSpeedAI!Mureka 9.5 Generate BGM creates background music from prompts via the Mureka official API, supporting instrumental tracks, mood-based scoring, video BGM, game audio, ads, social content, and creative production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Mureka V9.5 Generate BGM creates one instrumental background-music track from a text prompt. Describe the mood, genre, instruments, tempo, and scene context, then choose an output format to generate music for videos, games, ads, social content, and other creative workflows.
Why Choose This?
-
Prompt-to-BGM generation
Generate instrumental background music directly from a text prompt. -
Instrumental output
Create background tracks without requiring lyrics or vocal references. -
Flexible style control
Describe genre, mood, tempo, instruments, arrangement, and production direction. -
Multiple output formats
Choosemp3,wav, orflacbased on your delivery needs. -
Simple music workflow
Provide a prompt, select an output format, and generate one complete BGM track.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Description of the desired background music, including mood, genre, instruments, tempo, scene context, or production style. |
| output_format | No | Output audio format: mp3, wav, or flac. |
How to Use
- Write your prompt — Describe the background music style, mood, tempo, instruments, and intended scene.
- Choose output format — Select
mp3,wav, orflac. - Submit — Generate the BGM track and retrieve the output URL.
Pricing
Pricing is fixed at $0.225 per BGM track.
| Output | Cost |
|---|---|
| One generated BGM track | $0.225 |
Each request generates one track. Changing output_format does not add a format surcharge.
Best Use Cases
- Background music generation — Create instrumental tracks for video, games, podcasts, or creative projects.
- Video and social content — Generate music beds for shorts, reels, ads, and promotional clips.
- Game and app audio — Create loop-friendly or scene-matching background music.
- Commercial and brand content — Produce mood-specific music for campaigns and product videos.
- Creative prototyping — Test different genres, tempos, and emotional directions quickly.
Pro Tips
- Describe the intended scene or use case, such as cinematic trailer, cozy vlog, product ad, fantasy game menu, or relaxing background loop.
- Include genre, mood, tempo, instruments, and production style for better control.
- Use words like
ambient,cinematic,lo-fi,orchestral,electronic, oracousticwhen style matters. - Choose
mp3for compact delivery, orwav/flacwhen higher-quality audio files are needed. - Keep the prompt focused on instrumental background music rather than lyrics or vocals.
Notes
- Use
promptto control the background music direction. - Changing
output_formatdoes not add a format surcharge.
Related Models
- Mureka V9.5 Prompt-to-Song — Generate a song from a music prompt.
- Mureka V9.5 Generate Song — Generate a complete song from supplied lyrics.
- Mureka V9.5 Generate BGM — Generate instrumental background music from a text prompt.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"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/generate-bgm" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Prompt describing the background music. Official limit: up to 1024 characters. | |
| output_format | string | No | mp3 | mp3, wav, flac | Output audio format after re-uploading to WaveSpeed CDN. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |