What Is a Good AI Music Detection Score? (Suno & Udio)
Short answer: There's no universal "good" AI detection score — every detector uses its own model and threshold, and most aren't public, so a track can score very differently from one tool to the next. As a rough guide from our own testing and community reports, lower is safer, but even a low score is never a guarantee: systems evolve and tracks can be re-scanned later against newer models. The realistic goal isn't a magic number — it's presenting a finished, well-mastered release and following each distributor's disclosure rules. Any figures below are our own observations, not official cutoffs, and they change.
You ran your Suno or Udio track through an AI music detector and got a score. Now what? Is 30% fine? Is 70% going to get you rejected? Here's what the numbers actually mean — and what they don't.
What AI detection scores measure
AI music detectors analyze characteristics of your audio and output a probability that the track was AI-generated. A score of 80% means that particular detector estimates a high likelihood the audio is AI-made — according to its own model.
The important thing to understand: these scores vary by detector. A track that scores 60% on one tool might score 35% on another. There is no universal threshold — each distributor or platform that uses detection has its own system and its own cutoffs, and most of those are not published. So treat any single score as one tool's opinion, not a verdict.
What scores are "safe" for distribution?
There's no official published cutoff. Based on community reports and our own testing — which can differ from what any given distributor uses — the rough picture looks like this:
| Score band | General read | Caveat |
|---|---|---|
| Lower band | Less likely to trigger automated flags | Still never a guarantee |
| Middle band | Grey zone — often passes | More exposed as detectors improve |
| Higher band | Higher risk of flags or rejection | Varies by distributor and tool |
The honest answer: even a very low score doesn't guarantee you won't get flagged. Detection systems are evolving, and a track uploaded today may be re-scanned later against a newer model. The goal isn't to chase a specific figure — most distributors currently allow AI music with disclosure, so following the rules matters more than any percentage.
What actually affects your score
Several things tend to move AI detection scores, though results vary by track and by detector:
Things that often lower a score:
- Mastering, which changes the overall spectral balance
- Optional anti-AI processing (available in our studio for creators who want it)
- Adding genuinely recorded elements (real drums, vocals, a guitar part)
- Post-export processing that alters the audio's character
Things that don't reliably lower a score:
- Simply converting to MP3 (detectors are trained on MP3 too)
- Changing the filename or metadata
- Adding reverb only (doesn't change the core character enough)
- Small speed or pitch changes (modern detectors generally aren't fooled)
We don't publish the internals of how our processing works, and no honest tool can promise a specific outcome — anyone guaranteeing a fixed score is overselling.
How to check your score
You can scan your track for free in our mastering studio. Upload the file and run the AI detection check for a score you can use as one reference point. Remember it's an estimate from one tool, not the same system your distributor uses. For background on how detectors work in general, see the AI detector guide.
What Suno and Udio scores typically look like
In our own testing, raw Suno and Udio exports (no mastering, no processing) tend to score high on most detectors — unsurprising, since nothing has altered the untouched output. After standard mastering, scores generally come down somewhat, and with optional anti-AI processing they tend to come down further, though the amount varies widely by genre, arrangement density, and which detector you use. These are internal observations, not fixed results — tracks with a lot of layered instrumentation tend to behave differently from simple, sparse arrangements, and detectors change over time.
Common mistakes
- Treating one detector's score as the truth. It's one model's estimate; your distributor may use a different system entirely.
- Chasing a magic number instead of disclosing. Most distributors allow AI music with disclosure — following the rules protects you more than a low percentage.
- Assuming a low score is permanent. Tracks can be re-scanned later against newer models.
- Believing a tool that guarantees a fixed score. No honest tool can promise that.
- Skipping mastering. A raw export sounds thin and is untouched — the worst of both worlds.
Should you care about your score?
- DistroKid, TuneCore, or a similar mainstream distributor: somewhat — most currently allow AI music with disclosure, but detection-based policies are becoming more common, so a finished release plus honest disclosure is the safe play. See will distributors accept your AI music?.
- YouTube only: less urgent — YouTube's Content ID looks for copyright matches, not AI detection.
- Classical or sync-licensing platforms: more important — these often have stricter content standards and may run their own detection.
FAQ
What's a good AI detection score for Suno? There's no universal number — detectors disagree and thresholds are mostly private. Lower is generally safer, but no score guarantees you won't be flagged. Disclosure and a finished master matter more.
Does mastering lower AI detection scores? It can, because it changes the overall spectral balance — but the effect varies by track and detector, and it's not guaranteed. Treat any improvement as a bonus, not a promise.
Will a low score stop my track from being flagged? Not necessarily. Systems evolve and tracks can be re-scanned later. A low score reduces risk on today's tools; it doesn't eliminate it.
Can I just convert to MP3 to lower my score? No — detectors are trained on MP3 too. Metadata and filename changes don't help either.
Should I disclose AI use even if my score is low? Yes. Most distributors ask you to disclose, and non-disclosure is a common reason tracks get removed — regardless of any score.
Scores are a useful reference, but they're one tool's estimate, not a guarantee — and they're not what keeps a release safe. Presenting a finished, well-mastered track and following each distributor's disclosure rules does more for you than any percentage. You can master your Suno or Udio track and run a free detection check at antiaimaster.com/studio, then see the current landscape in which distributors accept AI music.