dup detection
tools
Tens of millions of lost streams - that's what I discovered while working with a big label recently.
Those were siphoned off by unauthorized copies, AI soundalikes, and search-optimized fake releases that hijack the top results for trending tracks.
With platforms like Deezer reporting 30,000+ AI uploads a day, this isn't just a niche problem, it’s probably affecting almost every trending hit.
If you search for any top Dance track right now, you’ll see those uploads from artists you’ve never heard of using your exact song titles and tags to bait listeners.
I built Dup Detection as a lightweight, self-service tool to help teams identify and export tracks at scale, once more using Soundcharts' API:
→ Automated Matching: Scans search results across tiers to find suspicious duplicates.
→ Probability Scoring: Flags high-risk uploads so you don’t waste time on legit covers.
The Impact: The tool is already being used by a big international label. It took a tedious manual process and turned it into an automated workflow, successfully flagging fake uploads that had already racked up tens of millions of streams.
If you want to see what’s hiding in your own search results, I’m happy to show you how it works. Just reach out if you want a personal demo!