Tutorial · Trace
Read a Trace report with the evidence in view
How to interpret audio findings without turning a signal into a claim of certainty.
Read on Trace →The knowledge hub
Trace research & tutorials
Ideas, evidence and practical workflows.
Research · Trace
AI Music Detection Tools in 2026: What Should You Actually Compare?
One detector flags your track. Another clears it. Compare the evidence, workflow and privacy questions that matter before choosing an AI music detection tool.
Read on Trace →
Research · Trace
Free AI Music Detectors in 2026: Features and Limits Compared
Compare free scans, upload limits and report features from TRACE, Authio and The Ghost Production—and learn what their detection scores can tell you.
Read on Trace →
Research · Trace
Can audio processing remove an AI watermark?
Some processing can weaken detection in specific systems. That is not a universal watermark-removal recipe—or proof that a track is human-made.
Read on Trace →
Research · Trace
Can you hide an AI watermark inside a hybrid track?
Adding human instruments changes a mix—not its history. Learn why audible masking, watermark detection and AI audio evidence are different questions.
Read on Trace →
Research · Trace
AI audio watermarks and detection: what is the difference?
An inserted watermark and a forensic audio finding are different clues. Neither a missing marker nor a reassuring scan establishes human authorship.
Read on Trace →
Research · Trace
AI in your track? What the evidence can—and can’t—tell you
A flagged region is a reason to look closer. Here’s how to read an AI music scan without turning an indicator into a verdict.
Read on Trace →
Research · Trace
Creating music with AI? Keep these records before release
Save the sources, versions and production notes that explain your track. An AI music scan cannot reconstruct the creative process for you.
Read on Trace →
Research · Trace
Human and AI in one track: why yes or no falls short
A generated vocal over human instrumentation raises a different question from an entirely generated song. A master-level label cannot describe every contribution.
Read on Trace →
Research · Trace
Mastering changed your AI scan. What does that mean?
A changed scan after mastering does not explain how the music was created. Keep the versions and investigate the reported evidence in context.
Read on Trace →
Research · Trace
Can MP3 compression change an AI music scan?
A different export is a different input. Here is how to interpret a changed scan without treating compression as proof of a track’s origin.
Read on Trace →
Research · Trace
Can stems reveal which instrument was made with AI?
Separate tracks can add context, but separating a master does not automatically prove where a suspicious signal originated.
Read on Trace →
Research · Trace
Why AI music detectors disagree
Two scans can give different answers for the same track. Understand what that disagreement tells you before treating either result as a verdict.
Read on Trace →
Research · Trace
What your audio file reveals before we hear it
Format, file structure and provenance clues can add context to an audio scan. Missing metadata is not evidence of human authorship.
Read on Trace →
Research · Trace
6.5% evidence coverage doesn’t mean 6.5% AI
That percentage describes flagged time across your track. It doesn’t measure how much of the music was made with AI.
Read on Trace →