Guide / Field notes
How to Check a Song for AI: An Evidence-Led Workflow
Start with a decision, not a tell.
· 9 min read
Choose the standard before you inspect
A playlist choice and a contract dispute do not require the same evidence. Write down the decision first. For low-stakes curiosity, a listening pass and automated report may be enough. For a consequential action, plan to collect production records and speak to the creator.
Climb an evidence ladder
Begin with the best available file. Note audible anomalies before opening a detector, then read the complete report rather than one percentage. Move next to metadata and release context. Finish with provenance: dated drafts, stems, project files, contributors and a coherent account of the session.
Know when to stop
An inconclusive result is a stopping point, not an invitation to shop for a harsher tool. Compression, mastering and hybrid production can all confuse classification. If the evidence cannot support the decision you planned to make, record that uncertainty and do not escalate the claim.
Key takeaway
The short version
Detection is a triage process: define the stakes, review independent evidence, and let provenance carry more weight than an acoustic estimate.
Run a free detectionFrequently asked questions
No. It can support a review, but origin and authorship require provenance and context. Do not use one automated or acoustic observation as proof.
Keep reading
Comparison
Suno or Udio? Why the Production Workflow Matters More
Same goal, different machinery — and different tells left behind in the audio.
Industry
Does Spotify Detect AI Music? Separate Policy from Audio Analysis
Moderation, fraud checks and disclosure rules — a different job from acoustic detection.
Legal
AI Music Copyright: A Map of Clear and Unsettled Questions
Authorship, training data and voice likeness, sorted into settled and unresolved.
Explainer
AI Music vs Human Music: Which Differences Still Mean Anything?
The gaps that still hold up under scrutiny, and the ones that closed a model generation ago.