Built a personal tool that uses AI audio analysis to extract accurate tracklists from raw DJ sets.
DIGGR Studio is an indie developer side-project focused on AI-driven DJ set curation. It turns raw audio sets into actionable, accurate tracklists through automated extraction, streamlining the workflow for music professionals and serious listeners.
The Challenge
DJs and curators work from long recordings where track IDs are unclear; manual tracklisting is slow and error-prone.
The Solution
Built an AI-assisted pipeline that ingests raw sets and proposes structured track lists editors can verify and export.
Outcomes
Reduced manual listening loops for set documentation.
Prototype validates extraction quality on real-world recordings.