AI Trace
Data AnalysisVerified

Reviewed and published by trentmaziarz, May 11, 2026. Discovered and drafted by our automated research pipeline.

SoundCloud uses an in-house AI system, built on technology from its 2022 acquisition of Musiio, to automatically analyze and tag music uploaded to the platform. This system identifies genre, mood, patterns, and other characteristics of uploaded audio at scale.

Details

Musiio's AI was described as able to 'listen' to music faster than any human, automatically tagging audio and enabling search and playlisting across SoundCloud's catalog of over 375 million tracks. SoundCloud has confirmed that Musiio tools are 'strictly used to power artist discovery and content organization, not to train generative AI models.' The technology powers downstream features including the First Fans recommendation system and content organization. Musiio uses deep learning and audio feature extraction trained on the audio signal itself rather than metadata or third-party statistics.

Products affected

SoundCloud platform (all users)Musiio B2B API

Sources & Evidence

Cite this record

Trace Foundation. (2026). SoundCloud: SoundCloud uses an in-house AI system, built on technology from its 2022 acquisition of Musiio, to automatically analyze and tag music uploaded to the platform. This system identifies genre, mood, patterns, and other characteristics of uploaded audio at scale (data as of 2026-05-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/132029f4-952b-42bf-951b-7049d128cf6a. Accessed October 5, 2026.

Stable link
https://www.aitrace.org/r/practice/132029f4-952b-42bf-951b-7049d128cf6a
Data as of
May 11, 2026
Last verified
Not recorded

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