Undetectr
AI music cleaner that removes detectable artifacts for distributor compliance.
Last verified:
What is Undetectr?
Undetectr is an AI music artifact removal tool that processes AI-generated audio files to remove detection signals that streaming distributors scan for, including SynthID/C2PA watermarks, spectral fingerprints, and metadata. It processes files in-browser (MP3, WAV, FLAC) in under a minute, enabling users to distribute AI music on Spotify, Apple Music, DistroKid, and 150+ other platforms without detection flags.
Undetectr pricing
Pricing model: Freemium
Lifetime purchase option available (specific pricing details not visible in provided content)
Undetectr pros
- First dedicated AI artifact removal engine with six-layer removal targeting spectral, temporal, dynamic, metadata, and stereo artifacts
- Browser-based with no software installation; processes most tracks in under one minute
- Verified on 150+ platforms including Spotify, Apple Music, Amazon Music, and DistroKid
- Supports all major AI music generators (Suno, Udio, etc.) with live demo showing real-time transformation
Undetectr cons
- Music-specific tool; limited to audio artifact removal with no applicability to other AI-generated content types
- No documented evidence or guarantee on long-term effectiveness as detection technology continues to evolve
- Potential compliance concerns depending on platform terms of service regarding detection circumvention
Frequently asked questions about Undetectr
How long does it take to process a track?
Most tracks process in under a minute, entirely in your browser with no software installation.
What audio formats and AI generators are supported?
Supports MP3, WAV, and FLAC files from all major AI music generators including Suno, Udio, and others.
Which platforms can I upload cleaned music to?
Over 150 platforms including Spotify, Apple Music, Amazon Music, YouTube Music, DistroKid, and more.
What specific artifacts does Undetectr remove?
SynthID and C2PA watermarks, spectral fingerprints, temporal patterns, metadata tags, and stereo field artifacts.