AI Music Detector
Free AI Music Detector Online
Upload any track and instantly find out whether it was created by an AI generator or a human. Powered by ACRCloud — detects Suno, Udio, ElevenLabs, Seed Music, MiniMax and more. No sign-up required.
Drop your track here or browse files
MP3, WAV, FLAC, AAC, OGG, M4A · Max 50 MB
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Add the following to wp-config.php using your ACRCloud Bearer token and your AI Music Detection container ID:
define( 'ACRCLOUD_FS_TOKEN', 'your_bearer_token' );
define( 'ACRCLOUD_FS_CONTAINER_ID', '29439' );
define( 'ACRCLOUD_FS_REGION', 'eu-west-1' );
About result accuracy: The AI probability score reflects confidence based on acoustic fingerprinting and pattern analysis. A high score strongly suggests AI generation, but no automated system is infallible. Always use human judgement alongside the result, especially when the score is between 40 % and 70 %.
What Is an AI Music Detector?
An AI music detector is a tool that analyses the acoustic and structural properties of a music track to determine whether it was composed and produced by a human or generated entirely by an artificial intelligence system. Unlike metadata checks, AI detection examines the actual audio signal — its spectral fingerprint, tonal coherence, harmonic patterns, and generation artefacts unique to AI synthesis engines.
This tool is powered by ACRCloud's AI Music Detection API, one of the most widely adopted audio recognition systems in the industry, used by streaming platforms, digital distributors, and collecting societies worldwide.
How Does AI Music Detection Work?
The detection process works in three stages:
- Audio fingerprinting — a compact acoustic signature is extracted from your uploaded track, capturing spectral, rhythmic and harmonic characteristics.
- AI artefact analysis — the fingerprint is compared against known generation patterns from major AI music tools. Platforms like Suno, Udio, ElevenLabs Music, Seed Music, MiniMax, Mureka, and Riffusion each leave distinct acoustic signatures in their output.
- Component breakdown — the system reports separate probability scores for the full mix, the vocal stem, and the instrumental/accompaniment stem, giving a granular view of which parts of the track appear AI-generated.
The result is an overall AI probability score from 0 % to 100 %, where a high score indicates strong evidence of AI generation and a low score indicates the track is likely human-made.
Understanding the AI Probability Score
A score of 80 % or above is a strong indicator of AI generation. Scores between 40 % and 79 % should be treated with caution — the track may contain AI-generated elements mixed with human production. Scores below 40 % indicate the track is most likely human-made, though the detector may not yet have patterns for every AI tool on the market.
Why Does AI Music Detection Matter?
The rise of AI music generation tools has created significant challenges for the music industry. Streaming platforms, record labels (IFPI), digital distributors, and performing rights organisations like ASCAP increasingly require transparency about whether submitted music is human-made or AI-generated:
- Royalty eligibility — most collecting societies and PROs currently do not pay royalties for purely AI-generated compositions. Mislabelling AI music as human-made is considered fraud.
- Distribution platform compliance — services like DistroKid, TuneCore, and CD Baby now require disclosure of AI-generated content. Submissions that hide AI authorship risk account termination.
- Ghost production integrity — buyers of exclusive ghost-produced tracks have a legitimate interest in knowing their purchase is an original human composition, not an AI output dressed up with minor edits.
- A&R vetting — record labels can pre-screen demo submissions to identify AI-generated tracks before committing time and budget to artist development.
Who Should Use This Tool?
- Music distributors & labels — screen submissions before release to avoid policy violations on Spotify, Apple Music, and Beatport.
- Ghost producers & sellers — verify that tracks purchased as original human productions genuinely are. Our custom music production services are 100 % human-made and fully exclusive.
- DJs & artists — confirm the tracks you're playing or releasing under your name are human-crafted, protecting your reputation.
- Sync & licensing agencies — verify originality before pitching tracks to TV, film, and advertising clients who require human authorship.
- Performing rights organisations — add an automated pre-screening step to reduce fraudulent royalty claims from AI-generated content.
- Music producers — check that your own tracks are not being falsely flagged as AI on distribution platforms, and use the component breakdown to identify if a collaborator's stems may have been AI-generated.
Related Free Music Tools
Use these companion tools alongside the AI Music Detector to verify, prepare and protect your tracks:
- Music Copyright Checker — check whether your track matches any commercially released song in ACRCloud's database of hundreds of millions of recordings.
- Audio Watermark Tool — add a voice or audio watermark to your preview tracks before sharing with potential buyers, preventing unauthorised use.
- BPM and Key Finder — detect the exact BPM and musical key of any audio file for mixing, tagging and catalogue management.
- DJ Set Planner — upload your full library and generate a harmonically ordered set list using the Camelot Wheel.
Frequently Asked Questions
Yes — completely free to use. No account, no subscription, and no upload limits beyond the 50 MB file size cap per track. Simply upload your audio and receive an instant result.
The detector is trained to recognise output from major AI music platforms including Suno, Udio, ElevenLabs Music, Seed Music (ByteDance), MiniMax, Mureka, and Riffusion. ACRCloud continuously updates its models as new AI generators emerge, so coverage improves over time.
ACRCloud's AI detection model achieves high accuracy for tracks generated by the major supported platforms. However, no system is 100 % infallible — especially for heavily post-processed AI tracks or obscure generators not yet in the training data. Always combine the score with human listening judgement for critical decisions.
The score represents how confident the system is that the track was AI-generated. A score above 80 % strongly indicates AI origin. Between 40 % and 79 % suggests possible AI involvement. Below 40 % typically indicates a human-made track. The component breakdown (full mix, vocals, accompaniment) helps identify which elements appear AI-generated.
Yes. The component analysis breaks down the probability separately for the vocal stem and the instrumental stem. This means you can identify tracks where, for example, the production is human-made but the vocals were generated with an AI singing tool like ElevenLabs.
MP3, WAV, FLAC, AAC, OGG and M4A files up to 50 MB are supported. For best accuracy, upload the highest quality version of the track available. Heavily compressed or low-bitrate files may reduce detection confidence.
A portion of your audio is temporarily sent to ACRCloud's secure recognition service for fingerprinting and analysis. It is not stored, logged, or shared with any third party. The file is used solely to generate the detection result.
Absolutely. Running an AI detection check before submitting to a distributor or label is a responsible practice. It helps you identify any AI-generated elements in your productions that may require disclosure under platform policies, reducing the risk of takedowns or account issues.
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