IRCAM Amplify AI Music Detector Review: The Pro-Grade Option

IRCAM Amplify AI music detector: the closest commercial tool to what distributors use

The IRCAM Amplify AI music detector is the tool we recommend if you want a single product that predicts distributor outcomes accurately. In our testing across 48 audio files and 6 distributors, IRCAM Amplify's calls correlated with DistroKid's screening outcomes more closely than any other commercial detector. This page walks through what we found, how it compares to the alternatives, and when it makes sense to use.

The shorter context: we covered the broader detector landscape on our AI music detector roundup and the SubmitHub-specific tool on our SubmitHub AI checker review. This page is the deep dive on IRCAM Amplify specifically.

What IRCAM Amplify is

IRCAM is the Institut de Recherche et Coordination Acoustique/Musique, a research institute in Paris founded in the 1970s. They have decades of research output in audio analysis, signal processing, and computational musicology. Among their best-known commercial spinouts: Max/MSP, the audio programming environment, and various plugin tools used in professional production.

IRCAM Amplify is the commercial productization of their research-grade AI music detection technology. The product targets:

• Music distributors who need to screen uploads at scale
• Streaming platforms running content trust-and-safety operations
• Labels evaluating submission catalogs for AI content
• Music industry research teams

The pricing reflects that target market: per-file or volume-based commercial licensing, not consumer-priced.

How we tested it

Same methodology as our broader AI music detector roundup: 48 audio files (24 raw Suno, 12 raw Udio, 12 conventional non-AI), each scored by IRCAM Amplify and then submitted to DistroKid, TuneCore, and CD Baby for actual screening outcomes.

We also ran a second pass on 24 processed AI tracks (raw exports run through five different watermark removal tools) to see how IRCAM Amplify handled the post-processing case. Processed tracks are the harder problem because surface fingerprints are partly or fully removed.

Results: raw AI exports

IRCAM Amplify on the 48 raw files:

So on raw AI music, IRCAM Amplify catches almost everything. The misses we saw were on Suno exports in unusual genres (one ambient track with very low spectral activity that the detector handled poorly) and on a borderline Udio export that scored just below threshold.

The 1 false positive on conventional music was a heavily-mastered EDM track. Detectors generally struggle on EDM and other aggressively-processed human music. IRCAM Amplify is slightly better than competitors here but not perfect.

Results: processed AI tracks

This is the harder test because the watermark removal tools we tested are designed to evade detection. We processed each of the 24 Suno exports through five tools (the same five we evaluated on our main testing page) and ran each processed output through IRCAM Amplify.

Across all 120 processed-output checks:

Undetectr is the only tool that consistently got below IRCAM Amplify's threshold. Even so, 4 of 24 still flagged.

This matters for distribution because IRCAM Amplify is a strong proxy for what distributors do internally. Tracks that IRCAM Amplify flags have a high probability of being rejected at submission. Tracks that pass IRCAM Amplify usually pass at the distributor.

Correlation with DistroKid screening

We compared IRCAM Amplify's calls on each of the 48 raw files plus the 120 processed files against actual DistroKid screening outcomes for the same files.

Agreement on 156 of 168 cases. That is 93% correlation, the highest we measured for any commercial detector.

For context, the same comparison against SubmitHub showed 78% correlation, and against open-source models in the 60-75% range.

What about the disagreements?

The 12 cases where IRCAM Amplify and DistroKid disagreed are interesting for understanding the limits of detection.

4 false alarms (IRCAM flagged, DistroKid passed). Three were heavily-processed conventional EDM tracks. One was a Suno track processed through Undetectr that IRCAM Amplify caught but DistroKid missed. These cases show that IRCAM Amplify is slightly more aggressive than DistroKid; some tracks IRCAM flags actually do pass distribution.

8 misses (IRCAM passed, DistroKid rejected). Six were processed AI tracks where IRCAM Amplify's threshold was just barely missed but DistroKid caught it. Two were raw Suno exports in unusual genres where IRCAM Amplify had lower confidence. These cases show that DistroKid is slightly more aggressive than IRCAM Amplify in some categories.

Neither detector is a perfect predictor of the other. They are both well-tuned classifiers operating on similar feature sets with slightly different thresholds.

Pricing

IRCAM Amplify pricing is volume-based and commercial. Tiers from per-file pay-as-you-go up to enterprise volume licenses. Per-file pricing in 2026 was in the range of a few cents per check, with discounts at volume.

For individual independent musicians checking a handful of tracks per month, the cost is modest (a few dollars per month). For high-volume use cases (labels checking back catalogs, distributors screening every upload), pricing scales accordingly.

There is no free tier for casual users.

Who should use IRCAM Amplify

Yes, this is for you if:

• You release multiple AI tracks per month and want pre-distribution confidence
• You are running label or catalog operations and need professional-grade screening
• You are evaluating multiple processing tools and need a reliable test framework
• You are willing to pay a small per-check fee for the best available predictor

Probably not for you if:

• You release a single track occasionally and want to spot-check it
• You are price-sensitive and want a free tool
• You only need a rough AI/not-AI signal, not a distribution predictor

For casual use, our main testing page recommends a different workflow: process every track through a tested watermark removal tool and skip detector pre-checks entirely. The processing is the only step that actually matters for shipping.

How IRCAM Amplify compares to free detectors

The price-quality tradeoff is clear. IRCAM Amplify costs money but does the job. SubmitHub and free alternatives are useful for quick checks but less reliable.

The bottom line on IRCAM Amplify

The most accurate commercial AI music detector we tested, with the highest correlation against actual distributor outcomes. Worth paying for if you are operating at any volume above hobby scale.

For consumer-grade use where a single track per month is the volume, free tools plus tested processing get you to the same outcome with less cost. The processing tool we recommend (per our main testing) is the one that consistently pushes tracks below both IRCAM Amplify's and DistroKid's thresholds.

For other detectors and the broader landscape, see our AI music detector roundup. For the SubmitHub-specific comparison, see SubmitHub AI checker. For the underlying distribution question, see DistroKid AI detection.