Original test data · August 9, 2026

Suno AI Music Detector: 20-Track Test

We tested 20 anonymously named Suno clips with the same live provider used on this site. All 20 were classified as AI-generated and attributed to Suno in this particular batch. The observed AI probabilities ranged from 87% to 92%.

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20 / 20

Sampled Suno tracks classified as AI-generated

90.5%

Mean AI probability in this Suno cohort

13.3 s

Median provider latency for these 20 samples

Per-track Suno results

Anonymous sampleVerdictAI probabilityLikely sourceLatency
B002AI-generated90%suno1.7 s
B005AI-generated90%suno7.8 s
B008AI-generated91%suno7.9 s
B011AI-generated91%suno13.1 s
B014AI-generated91%suno15.5 s
B017AI-generated87%suno15.3 s
B020AI-generated89%suno12.0 s
B023AI-generated92%suno14.3 s
B026AI-generated89%suno13.4 s
B029AI-generated90%suno13.1 s
B032AI-generated92%suno13.9 s
B035AI-generated92%suno17.2 s
B038AI-generated88%suno8.3 s
B041AI-generated92%suno9.5 s
B044AI-generated92%suno7.3 s
B047AI-generated92%suno13.6 s
B050AI-generated92%suno14.6 s
B053AI-generated92%suno14.5 s
B056AI-generated89%suno13.8 s
B059AI-generated89%suno2.8 s

How the Suno test was run

  1. Twenty Suno tracks were selected from a public research collection linking to Suno-hosted files.
  2. Each track was clipped to 30 seconds, encoded as 192 kbps stereo MP3, stripped of metadata, and renamed to an anonymous ID.
  3. The provider returned a classification, AI probability, likely source, model version, and latency.
  4. Known labels were compared only after the provider result was recorded.

What the result does—and does not—show

This batch shows that the tested model recognized all 20 selected Suno outputs, including the lowest-confidence sample at 87%. It does not establish universal Suno detection accuracy. New Suno models, remastering, stems, human overdubs, heavy edits, and short or noisy clips may behave differently.

Five Suno samples were also converted from 192 kbps stereo to 128 kbps mono. None changed verdict in that small robustness check. Read the paired compression results rather than assuming every audio edit is harmless.

Do not treat one score as proof

Use the detector alongside credits, creator disclosures, source files, stems, and other provenance evidence—especially before rejecting a release or accusing a creator.