Mureka AI V7.6 Recognize Song is a fast AI music recognition model that analyzes and recognizes songs via the official Mureka API. Ready-to-use REST inference API for song identification, music analysis, audio metadata workflows, catalog matching, content moderation, and professional music processing with simple integration, no coldstarts, and affordable pricing.
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ExamplesView all
Related Models
README
Mureka AI V7.6 Recognize Song
Mureka AI V7.6 Recognize Song is a music recognition model for analyzing uploaded audio and identifying song-related information from the input track. It is suitable for song recognition, music metadata workflows, catalog matching, and other audio analysis tasks.
Why Choose This?
-
Song recognition workflow Analyze an uploaded audio track and return recognized song information.
-
Simple audio input Upload a single audio file and run recognition without additional configuration.
-
Useful for metadata workflows Suitable for music identification, catalog management, and audio analysis pipelines.
-
Fast API integration Easy to integrate into music tools, media workflows, and content analysis systems.
-
Fixed pricing Uses a simple flat price per recognition request.
Parameters
| Parameter | Required | Description |
|---|---|---|
| audio | Yes | Input audio track to analyze and recognize. |
How to Use
- Upload your audio — provide the song or music clip you want to analyze.
- Submit — run the recognition request.
- Review the result — use the returned song recognition output in your workflow.
Example Use Case
Upload a music clip to identify the song and support catalog lookup or metadata verification workflows.
Pricing
Just $0.03 per request.
Best Use Cases
- Song identification — Recognize songs from uploaded audio clips.
- Music catalog workflows — Match tracks against library or metadata systems.
- Audio analysis pipelines — Use recognition as part of larger music-processing workflows.
- Content management — Verify or enrich music-related metadata.
- Media operations — Support ingestion, tagging, and review processes for music assets.
Pro Tips
- Upload clear audio for better recognition results.
- Use the cleanest source clip available when possible.
- Tracks with clear vocals and strong musical detail are generally easier to recognize.
- Avoid heavily distorted, noisy, or low-quality uploads when accuracy matters.
Notes
audiois required.- Pricing is fixed at $0.03 per request.
- If the uploaded song has unclear or indistinct lyrics, the model may be unable to extract lyric-related information accurately.
- Very noisy, low-quality, or heavily mixed audio may reduce recognition quality.
Related Models
- Mureka AI Stem Song — Process songs into stem-based outputs for remixing, editing, and production workflows.
- Mureka AI V8 Generate Song — Generate full songs from lyrics and optional reference inputs.
- Mureka AI V9 Generate BGM — Generate background music tracks from prompts.
Mureka v7.6 Recognize Song API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v7.6/recognize-song with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Mureka v7.6 Recognize Song below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v7.6/recognize-song" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"audio": "https://example.com/your-audio.mp3"
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("mureka-ai/mureka-v7.6/recognize-song", {
"audio": "https://example.com/your-audio.mp3"
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"mureka-ai/mureka-v7.6/recognize-song",
{
"audio": "https://example.com/your-audio.mp3"
}
)
print(output["outputs"][0]) # → URL of the generated outputMureka v7.6 Recognize Song API — Frequently asked questions
What is the Mureka v7.6 Recognize Song API?
Mureka v7.6 Recognize Song is a Mureka Ai model for audio generation, exposed as a REST API on WaveSpeedAI. Mureka AI V7.6 Recognize Song is a fast AI music recognition model that analyzes and recognizes songs via the official Mureka API. Ready-to-use REST inference API for song identification, music analysis, audio metadata workflows, catalog matching, content moderation, and professional music processing 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 v7.6 Recognize 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/mureka-ai/mureka-ai-mureka-v7.6-recognize-song.
How much does Mureka v7.6 Recognize Song cost per run?
Mureka v7.6 Recognize Song starts at $0.030 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 v7.6 Recognize Song accept?
Key inputs: `audio`. 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-v7.6-recognize-song.
How do I get started with the Mureka v7.6 Recognize 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 v7.6 Recognize 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.