Is the free AI music detector really free — what is the catch?

Yes. This free AI music detector needs no account and no card. The demo reads the first 2 minutes of each file, and anonymous use is capped per IP at 6 minutes of audio in total, plus short-term limits of 3/minute and 20/hour; signing in with Google adds 10 more free minutes. Analysis is zero-retention — nothing is stored unless you press Report. The limit is capacity, not a paywall: batch processing and integrations are the paid ArtifactNet API.

How do I detect if a song was made by AI?

Upload the audio file at the top of this page. The demo returns a verdict with probability, a per-segment timeline, and a forensic feature radar in a few seconds. No signup — your first analysis of the day shows the segment scores and the radar in full, and signing in (free) keeps them on every analysis.

Is ArtifactNet an AI song checker or a song identifier?

ArtifactNet is an AI song checker: it analyses an uploaded audio file for indications of AI-generated music. It does not identify the song title or artist, remove vocals, or clean up audio. Use the result as a review signal, not proof of authorship.

Yes. The demo is free and does not require an account. The demo reads the first 2 minutes of each submission, and anonymous use is capped per IP at 6 minutes of audio in total (plus short-term limits of 3/minute and 20/hour). Signing in with Google adds 10 more free minutes. For batch processing or integrations, see the paid ArtifactNet API.

Do you store my audio?

Not for the analysis itself — that is zero-retention. Your file is streamed to a GPU worker, analysed in memory, and discarded. Two buttons are the only things that save anything, and they differ: Report tells us a verdict is wrong and requires the original audio, because a wrong verdict cannot be reproduced without the file that produced it — pressing it uploads and keeps that audio together with the spectral analysis. Share publishes that one verdict at a link until you revoke it, and stores neither your audio nor your filename. Full details in the Privacy Policy.

Which AI generators does it detect?

Trained explicitly on Suno, Udio, Stable Audio, Riffusion, MusicGen. Generalises to unseen generators via residual-artefact targeting.

Can I analyse a song from a streaming site?

Not from a link. The demo used to fetch audio from a URL and that was withdrawn — download or export the track yourself and upload the file. Nothing you upload is stored unless you submit a Report.

Accuracy depends on the model version, source and evaluation protocol. The developer-authored ArtifactBench preprint (arXiv:2609.23550v1) reports AUROC 0.982 and balanced accuracy 0.918 on a 562-track common-success test intersection. Historical F1 0.9829 / FPR 1.49% apply to v9.4 on a different 2,263-track unseen test (detector paper v2, arXiv:2604.16254v2), not all current demo requests. False positives are possible; a score is not proof of authorship. Read the evaluation versions and limitations.

Why did it flag my own song as AI?

Heavy spectral processing (aggressive limiting, AI-era codec resampling, extreme stereo widening) can mimic AI residuals. Use the Report button with Human-Made and a short note so we can investigate and improve the detector.

Yes. api.intrect.io exposes the same detector as a REST API with batch processing, designed for distributors, labels, and streaming platforms.

Free AI Music Detector Online

Free AI music detection: what is included?

Start with an audio file you have permission to analyse: MP3, WAV, FLAC, OGG, Opus, M4A or AAC, up to 50 MB. No signup or credit card is required for the anonymous demo. It analyses the first 2 minutes of each track, with 6 minutes total of anonymous audio analysis. This is a total allowance, not a daily refill. Short-term limits also apply: 3 analyses per minute and 20 per hour.

The first analysis of the day includes the segment timeline and forensic radar; later anonymous analyses show the verdict and probability. Signing in adds 10 more free minutes and unlocks forensic detail on every analysis. For recurring or batch use, see the paid detection plans and limits. This detector accepts file uploads, not Spotify or YouTube links.

How to check a song without treating a score as proof

Upload the original WAV or FLAC if available. Converting an MP3 to WAV does not restore lost information.
Press Analyze and review the verdict. When available, inspect the segment timeline for changes within the analysed excerpt.
Compare the result with the recording history, stems or project files. A detector score alone cannot establish who made a song.

False positives and false negatives are possible. An excerpt does not establish the origin of an entire track, and an AI score is not the percentage of a song made by AI. Do not use it alone to accuse a creator, reject a release or decide a copyright dispute.

For the evidence and its limits, read our eight-detector comparison and test conditions, WAV versus MP3 detection study, and guide to checking AI-generated music. These resources are published by Intrect, the developer of ArtifactNet; our comparison is not an independent endorsement.

About ArtifactNet

ArtifactNet is a free AI-generated music detector: a free online tool that checks a track for AI-generated music. Upload an audio file and get an AI-vs-Human verdict in seconds, with per-segment probabilities and forensic feature readings. A score is a signal for review, not proof of authorship. Zero-retention — audio is not stored unless you submit a Report.

What it detects

ArtifactNet is trained on tracks from Suno, Udio, Stable Audio, Riffusion, and MusicGen, with a residual other class for unseen generators. It targets STFT-domain residual artefacts rather than model-specific fingerprints, so it generalises to AI models it has not seen during training.

How it works

Decode the track to 44.1 kHz mono and split into 4-second overlapping chunks.
A codec-aware U-Net predicts a spectral residual mask that isolates AI artefacts.
HPSS (median-filter harmonic/percussive separation) runs on the residual.
A 7-channel CNN scores every chunk — 0 means clearly human, 1 means clearly AI.
The median across chunks becomes the track verdict. Outlier distributions are labelled Partial AI.

FAQ

Is the free AI music detector really free — what is the catch?: Yes. This free AI music detector needs no account and no card. The demo reads the first 2 minutes of each file, and anonymous use is capped per IP at 6 minutes of audio in total, plus short-term limits of 3/minute and 20/hour; signing in with Google adds 10 more free minutes. Analysis is zero-retention — nothing is stored unless you press Report. The limit is capacity, not a paywall: batch processing and integrations are the paid ArtifactNet API.
How do I detect if a song was made by AI?: Upload the audio file at the top of this page. The demo returns a verdict with probability, a per-segment timeline, and a forensic feature radar in a few seconds. No signup — your first analysis of the day shows the segment scores and the radar in full, and signing in (free) keeps them on every analysis.
Is ArtifactNet an AI song checker or a song identifier?: ArtifactNet is an AI song checker: it analyses an uploaded audio file for indications of AI-generated music. It does not identify the song title or artist, remove vocals, or clean up audio. Use the result as a review signal, not proof of authorship.
Is this free?: Yes. The demo is free and does not require an account. The demo reads the first 2 minutes of each submission, and anonymous use is capped per IP at 6 minutes of audio in total (plus short-term limits of 3/minute and 20/hour). Signing in with Google adds 10 more free minutes. For batch processing or integrations, see the paid ArtifactNet API.
Do you store my audio?: Not for the analysis itself — that is zero-retention. Your file is streamed to a GPU worker, analysed in memory, and discarded. Two buttons are the only things that save anything, and they differ: Report tells us a verdict is wrong and requires the original audio, because a wrong verdict cannot be reproduced without the file that produced it — pressing it uploads and keeps that audio together with the spectral analysis. Share publishes that one verdict at a link until you revoke it, and stores neither your audio nor your filename. Full details in the Privacy Policy.
Which AI generators does it detect?: Trained explicitly on Suno, Udio, Stable Audio, Riffusion, MusicGen. Generalises to unseen generators via residual-artefact targeting.
Can I analyse a song from a streaming site?: Not from a link. The demo used to fetch audio from a URL and that was withdrawn — download or export the track yourself and upload the file. Nothing you upload is stored unless you submit a Report.
How accurate is it?: Accuracy depends on the model version, source and evaluation protocol. The developer-authored ArtifactBench preprint (arXiv:2609.23550v1) reports AUROC 0.982 and balanced accuracy 0.918 on a 562-track common-success test intersection. Historical F1 0.9829 / FPR 1.49% apply to v9.4 on a different 2,263-track unseen test (detector paper v2, arXiv:2604.16254v2), not all current demo requests. False positives are possible; a score is not proof of authorship. Read the evaluation versions and limitations.
Why did it flag my own song as AI?: Heavy spectral processing (aggressive limiting, AI-era codec resampling, extreme stereo widening) can mimic AI residuals. Use the Report button with Human-Made and a short note so we can investigate and improve the detector.
Is there an API?: Yes. api.intrect.io exposes the same detector as a REST API with batch processing, designed for distributors, labels, and streaming platforms.

Free AI Music Detector

1. Add your track

2. Result

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