AI tracks now arrive faster than any quality-control team can listen to them. A detector scores the audio so you can send review where it matters instead of checking at random. Below are the AI music detection tools that labels, distributors and stores are actually using in 2026, what each one does, and where each fits.
Full disclosure: one tool below, SEAM, is built by The InterSpace Group, which also publishes InterSpace Daily. It is listed on the same terms as every other tool, and every figure here is the vendor’s own published claim, linked in the sources at the end.
How to choose
Before the list, the questions that actually separate these tools:
- What it detects: fully AI-generated instrumentals, AI vocals and deepfake covers, or both.
- How you reach it: a self-serve API (application programming interface), an enterprise contract, or a web tool.
- Does it need a reference copy: fingerprinting matches against known songs, while AI detection should score brand-new audio with nothing on file.
- What it returns: a yes or no, or a score you can set your own thresholds against.
- Throughput: whether it can run across a whole catalogue, not just one track at a time.
One caveat up front: independent, neutral benchmarks barely exist, so treat every accuracy percentage below as the vendor’s own claim on its own test set. The tools are listed in no fixed order; the right one depends on your formats, your volume and your policy.
SEAM (The InterSpace Group)
An audio recognition service for AI-generated music, offered as a REST API. It returns an AI likelihood from 0 to 1 and a verdict, likely_ai or likely_human, plus an advisory best guess at the generator family. It scores the sound itself and needs no copy of the song on file, so it works on brand-new tracks, and most scans finish in a few seconds. It is advisory by design and never rejects or holds a track on its own. Formats cover MP3, WAV, FLAC, AIFF, M4A, OGG and Opus up to 100 MB; access is by quote, with the first 1,000 tracks free. Accuracy: not published. Built specifically for labels, distributors, DSPs and stores.
Ircam Amplify (AI Music Detector)
From Ircam Amplify, the commercial arm of France’s IRCAM research institute. It detects “all major and emerging Gen AI models,” naming Suno, Udio, Sonauto and Eleven Labs, and connects over a REST API and SDK by request. The company calls it “the world’s most accurate solution to detect AI-generated music” and publishes “99% accuracy” with “less than 1% false positives,” and says it can “scan more than 250,000 tracks within 1 hour, depending on server capacity.” Those are its own figures. Pricing: not published.
Hive
An API-first moderation vendor. One model flags AI-generated instrumental music and attributes which of 14 generators made it, including Suno, Udio, MusicGen and Stable Audio Open; a second model flags AI-generated vocals, including deepfake covers of existing songs. It classifies every three-second chunk with a confidence score and accepts both audio and video. Accuracy and pricing: not published.
Modulate
A self-serve API you can sign up for and start in minutes, with a batch endpoint and a real-time streaming option. It returns one of three verdicts per four-second window, ai-vocal-music, ai-instrumental or not-ai-music, and lets you tune the precision and recall trade-off without retraining. It is priced at 0.07 US dollars per hour of audio, and it is unusually candid about its gaps, listing AI choral or background vocals and AI backing under a live human vocal as cases it does not yet catch reliably. Accuracy: not published.
Vobile AI Song Detector (powered by Pex)
Reached by API with OAuth 2.0, or through a connector for AI assistants, it gives one prediction per file with a confidence score and, when confident, the AI platform behind it, such as Suno or Udio. It takes tracks from 30 seconds to 15 minutes, up to 100 MB, and discards files after processing rather than keeping them for training. The company says it “can process millions of songs per day.” Accuracy and pricing: not published.
Sightengine (ai_music, beta)
Part of a broader content-moderation API, its beta ai_music model scores audio from 0 to 1 for AI generation. It is trained on Suno, Udio and Riffusion, reads the acoustics only with no metadata, and the vendor notes it “works best on audio files with no vocals.” Keys are self-serve; per-segment score breakdowns require contacting sales. Accuracy and pricing: not published.
Qosmo
A Tokyo AI studio that offers a free web tool and a Chrome extension alongside a paid enterprise API and custom deployments; its Spot-if-AI project checks tracks on the Spotify Web Player on-device. It detects fully AI-generated tracks from the likes of Suno and Udio and states “approximately 90%” accuracy, and it is explicit that it only detects AI use, it does not reject it. Enterprise pricing: not published.
The honest caveat
Every accuracy figure above is the vendor’s own, measured on a test set the vendor assembled, and real-world numbers move once light mastering, re-encoding or a different generator enters the picture. There is no neutral, peer-reviewed league table of these tools yet. Run your own pilot on your own catalogue, with tracks you already know the answer for, before you commit to any of them.
Where this leaves a label or distributor
If you need to screen both new uploads and a back catalogue, prioritise a tool with a real API, a score you can set thresholds against, and no requirement for a reference copy. For the operational side, see our guides on what to do when a track is flagged as AI and how to read a verdict. SEAM, disclosed above as our own, is one option built for exactly this audience; the right choice is the one that fits your formats, your volume and your policy.
Sources
Each figure is the vendor’s own published material, read in November 2026, not an independent test result:
- SEAM: seam.interspacemusic.com
- Ircam Amplify: ircamamplify.com
- Hive: docs.thehive.ai
- Modulate: modulate.ai
- Vobile AI Song Detector / Pex: docs.pex.com
- Sightengine: sightengine.com
- Qosmo: qosmo.jp
If you represent one of these tools and believe we have described it incorrectly, contact InterSpace Daily and we will correct it promptly.
