Mureka Recognize Song
Mureka Recognize Song costs $0.012/track on FairStack — a processing model for Song identification, Music recognition, Audio cataloging. No subscription required. Pay per generation with full REST API access. FairStack applies a transparent 20% margin on infrastructure cost so you always see the real price.
What is Mureka Recognize Song?
Mureka Recognize is Mureka's audio fingerprinting and song identification model that identifies songs from audio samples. Similar to consumer services like Shazam, the model matches audio input against a reference database to return song titles, artist names, and additional metadata, providing music identification at an ultra-low cost. At $0.01 per recognition, it makes batch music identification economically viable. The model handles various audio conditions including partial clips, background noise, and different recording qualities. Identification accuracy depends on the database coverage and the quality of the audio sample provided. Compared to consumer music identification services that are free for individual use but charge for API access, Mureka Recognize provides affordable programmatic access at scale. Against manual identification by ear or through music databases, automated recognition saves significant time for large music libraries. Best suited for song identification at scale, music recognition in production workflows, and audio cataloging where automated identification from audio samples provides efficiency. Available on FairStack at infrastructure cost plus a 20% platform fee.
Key Features
What are Mureka Recognize Song's strengths?
What are Mureka Recognize Song's limitations?
What is Mureka Recognize Song best for?
How much does Mureka Recognize Song cost?
How does Mureka Recognize Song perform across capabilities?
Mureka Recognize — music recognition, not generation
How do I use the Mureka Recognize Song API?
curl -X POST https://api.fairstack.ai/v1/generations/music \
-H "Authorization: Bearer $FAIRSTACK_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mureka-recognize",
"prompt": "Your prompt here"
}'import requests
response = requests.post(
"https://api.fairstack.ai/v1/generations/music",
headers={
"Authorization": f"Bearer {FAIRSTACK_API_KEY}",
"Content-Type": "application/json",
},
json={
"model": "mureka-recognize",
"prompt": "Your prompt here",
},
)
result = response.json()
print(result["url"])const response = await fetch(
"https://api.fairstack.ai/v1/generations/music",
{
method: "POST",
headers: {
Authorization: `Bearer ${process.env.FAIRSTACK_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "mureka-recognize",
prompt: "Your prompt here",
}),
}
);
const result = await response.json();
console.log(result.url);What parameters does Mureka Recognize Song support?
Frequently Asked Questions
How much does Mureka Recognize Song cost?
Mureka Recognize Song costs $0.012/track on FairStack as of 2026-05-13. This price includes FairStack's transparent 20% margin on infrastructure cost. No subscription or monthly fee — you pay per generation only. Minimum deposit is $1.
What is Mureka Recognize Song and what is it best for?
Mureka Recognize is Mureka's audio fingerprinting and song identification model that identifies songs from audio samples. Similar to consumer services like Shazam, the model matches audio input against a reference database to return song titles, artist names, and additional metadata, providing music identification at an ultra-low cost. At $0.01 per recognition, it makes batch music identification economically viable. The model handles various audio conditions including partial clips, background noise, and different recording qualities. Identification accuracy depends on the database coverage and the quality of the audio sample provided. Compared to consumer music identification services that are free for individual use but charge for API access, Mureka Recognize provides affordable programmatic access at scale. Against manual identification by ear or through music databases, automated recognition saves significant time for large music libraries. Best suited for song identification at scale, music recognition in production workflows, and audio cataloging where automated identification from audio samples provides efficiency. Available on FairStack at infrastructure cost plus a 20% platform fee. Mureka Recognize Song is best for Song identification, Music recognition, Audio cataloging. Available via FairStack's REST API with curl, Python, and Node.js SDKs.
Does Mureka Recognize Song have an API?
Yes. Mureka Recognize Song is available via FairStack's REST API at api.fairstack.ai. Send a POST request to /v1/generations/music with your API key and prompt. Works with curl, Python requests, Node.js fetch, and any HTTP client. No SDK installation required.
How does Mureka Recognize Song compare to other music models?
Mureka Recognize Song excels at Song identification, Music recognition, Audio cataloging. It is a processing model priced at $0.012/track on FairStack. Key strengths: Good recognition accuracy, Very affordable. Compare all music models at fairstack.ai/models.
What makes Mureka Recognize Song stand out for music generation?
Mureka Recognize Song excels with good recognition accuracy and very affordable. Generation typically completes in under 5 seconds.
What are the known limitations of Mureka Recognize Song?
Key limitations include: $0.01 per recognition; requires clear audio. FairStack documents these transparently so you can choose the right model for your workflow.
How fast is Mureka Recognize Song?
Mureka Recognize Song typically completes in under 5 seconds. This makes it suitable for real-time applications, interactive workflows, and high-volume batch processing.
What music generation features does Mureka Recognize Song offer?
Mureka Recognize Song offers: song identification; audio fingerprinting; affordable at $0.01. All capabilities are accessible through both the FairStack web interface and REST API.
Start using Mureka Recognize Song today
$0.012/track. Full API access. No subscription.
Start Creating