Suno claims its AI music platform blocks remixes or covers of copyrighted tracks. But in practice, its copyright filters are surprisingly easy to bypass. Using simple free tools, users can generate AI versions of hits like Beyoncé’s Freedom, Black Sabbath’s Paranoid, or Aqua’s Barbie Girl-and the results sound alarmingly close to the originals.
For creators and listeners alike, the line between legitimate remixing and outright copyright infringement is blurring fast. Anyone with Suno Studio on the $24/month Premier Plan can upload a track, tweak it in Audacity-slowing it down, speeding it up, or adding a burst of white noise-and Suno’s filters usually let it slip through. Restore the speed, remove the noise, and you’ve effectively fed Suno’s AI a copyrighted song. The output? Nearly identical instrumentals, especially when using Suno’s model 4.5 or 4.5+. Model v5 gets a bit more creative, but the core arrangement often remains intact with only minor changes.
Copyright Filters: Easy to Fool, Hard to Trust
Suno says it blocks copyrighted lyrics, but that protection is weak. Paste official lyrics, and you get nonsense. Change a few words-like swapping rain for reign-and suddenly the AI produces vocals that closely mimic the original artist. The voice models can summon off-brand versions of Ozzy Osbourne or Beyoncé that are uncanny enough to fool casual listeners.
Indie musicians face even less protection. The filter lets original tracks from smaller artists and labels pass untouched. Songs by Matt Wilson, Charles Bissell, and Claire Rousay slipped through Suno’s system, making it easy to generate unauthorized AI covers of their work. Major distributors like DistroKid and CD Baby declined to comment on the risks involved.
AI Covers: Uncanny Valley and Real-World Fallout
The AI-generated covers land squarely in the uncanny valley. The riffs and arrangements are instantly recognizable, but the performances feel lifeless. Even when the AI nails a guitar tone or vocal style, it misses the nuance and dynamics that make the originals memorable. Some tracks sound like wedding band knockoffs; others flatten experimental originals into bland dancefloor filler.
Despite Suno’s terms of service forbidding unauthorized covers, the platform only scans uploads-not outputs. Once a cover is generated, there’s no infringement check before export. That makes monetizing AI covers trivial: export the track, upload it to a streaming service, and profit off someone else’s work without paying royalties. This loophole hits indie artists hardest, since their music is less likely to trigger any filter at all.
Recent cases highlight the damage. Folk artist Murphy Campbell found AI covers of her songs uploaded to her Spotify profile. A distributor even filed copyright claims against her own YouTube videos and collected royalties-despite the songs being public domain. Spotify eventually removed the fakes, but only after a social media campaign. Other artists, like William Basinski and King Gizzard and The Lizard Wizard, have seen AI imitations slip onto streaming platforms, sometimes siphoning plays directly from their official pages. With streaming payouts already razor-thin, lesser-known musicians are especially vulnerable.