RevailLab: AI Music Detector
RevailLab: AI Music Detector Summary
RevailLab: AI Music Detector is a ad-supported iOS app in Music And Audio by MICHAL DOMINIK GIZA. Released in May 2026 (recently released ago). Store metadata: updated May 7, 2026.
Store info: Last updated on App Store on May 7, 2026 .
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App Description
RevailLab : AI Music Detector helps you spot AI-generated music with a simple paste or scan.
This is v1 — the full app, shipped honestly. Every feature is live. We're
a small team actively training our own music-native detection model, and
this release is the foundation we're growing from.
WHAT WORKS RIGHT NOW:
Instant 100% verdicts for 10 AI-only platforms:
• Suno · Udio · ElevenLabs · AIVA · Soundraw
• Mubert · Boomy · Loudly · Beatoven
Paste any link from these and we tell you straight away — no guessing
because these platforms only host AI-generated music.
Shazam-style mic scanning + Apple Music link analysis, powered today by
open research models as a starting point. Results appear in seconds and
will sharpen with every update.
GROWING WITH YOU
We are actively training our own music-native detector — specifically
on output from Suno, Udio, and other AI generators vs. real human
performances. Users who want to help fuel this work can tap the
"Support development" button to watch a short ad. Every watch directly
funds training data, compute, and keeping the app free for everyone.
No pressure, no paywall — just an honest way to back the work if you
believe in it.
EVERY FEATURE IS LIVE
Shazam-style mic scanning with live waveform
URL analysis — Apple Music, AI platform CDNs, direct audio files
Local scan history (stays on your device, never uploaded)
Daily reminder to check tracks
Source-aware confidence: "Verified AI" for platform-identified tracks,
Clear signal labels for model-based results
Free tier: 5 scans/day, voluntary support via rewarded ads
Privacy-first: audio analyzed, never stored
PRIVACY
Audio is analyzed, never stored server-side
Scan history lives only on your device
No tracking before you consent to it
AI music detection from audio signal alone is an open problem in 2026.
We aim for maximum accuracy and we are transparent about where we are
on that journey. Platform-verified verdicts are certain. Audio-model
verdicts are our best estimate today and get better with every update.
We'd rather tell you the truth than pretend.
COMING IN FUTURE UPDATES
Our custom music-native detector (in training — fueled by user support)
Stem-level analysis for ambiguous tracks
AI text detection (paste, file upload, camera scan)
Eventually: video deepfake detection
All with the same honest approach to accuracy and limits.