AI Artifact Remover

Remove AI artifacts from your audio files.

Live Statistics
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Tracks Checked
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Producers
AI Music Cleaner

Remove AI Artifacts and Pass Distributor Checks

The artefactFX AI Music Cleaner removes the hidden AI fingerprints that generators like Suno, Udio and Riffusion bake into your tracks. Upload a full mix or a ZIP of stems, and the engine strips the AI signature with spectral, phase and temporal processing while preserving your track's musical character — you get a studio-quality 24-bit WAV back with a before/after AI score.

AI-generated and AI-assisted music gets flagged, throttled or rejected when distributors and streaming platforms detect it. Removing AI artifacts lowers your AI score so your release clears those checks. Check first with the free AI Checker, clean what needs it, then master and release with confidence.

How the AI Cleaner Works

Check, clean, release.

1

Check the Score

Run your track through the free AI Checker first to see its AI-probability and set a baseline.

2

Clean the Artifacts

Upload the mix or a ZIP of stems. The cleaner removes the AI signature with multi-stage spectral, phase and temporal processing.

3

Download & Release

Get a 24-bit WAV with a before/after score. Treat it as a pre-master, finalize, then distribute.

What You Get

Cleaning That Preserves Your Sound

Targeted processing removes the AI signature — not the music.

Full Mix or Stems

Clean a finished mixdown, or upload a ZIP of stems — vocals, instrumental, drums, bass — for the most thorough result.

Before / After Score

Every clean returns a before and after AI score, so you can confirm the signature actually dropped.

Quality Preserved

Only the AI signature is removed — your track still sounds like yours, delivered as a 24-bit WAV.

Pass Every Distributor

Cleaned tracks clear DistroKid, TuneCore, CD Baby and other distributor AI screens.

Use Cases

Built for Music Professionals

For anyone releasing AI-assisted music.

AI Producers

You used Suno or Udio for a track or a part — clean the artifacts so it passes detection on release.

Hybrid Productions

Mixing AI elements with your own recordings? Clean the AI stems at the source before you bounce the final mix.

Labels & Distributors

Clean catalog tracks that trip AI detection so releases stay live and keep earning.

Sync & Licensing

Deliver clean, undetectable masters for sync, licensing and music-library placement.

How to Use AI Cleaner

Everything you need to know about cleaning AI artifacts from your music.

Upload your audio file and our system analyzes the spectral fingerprint to identify AI-generated artifacts. It then applies targeted frequency processing, pitch correction, and temporal adjustments to remove these artifacts while preserving the original character of your music. You get a before/after AI score comparison.
No — cleaning is fully automatic. When you upload a track, artefactFX analyzes it and applies the processing best suited to that specific audio, balancing the lowest AI score against the best sound quality. There's nothing to configure: just upload and let the engine pick the right approach for your track.
We accept MP3, WAV, FLAC, OGG, M4A and AAC files up to 100MB. One track per upload: cleaning takes single songs up to 10 minutes on the Free plan and up to 15 minutes on paid plans — a full mix or playlist is rejected before any credit is charged. The AI Checker has no length limit, it analyses a 30-second section. Stem cleaning takes up to 10 stems, each up to 100MB and 6 minutes. The cleaned output is always delivered as a 24-bit 48kHz WAV pre-master.
Typically 1–3 minutes depending on track length and complexity. The system performs multiple analysis passes including AI detection, spectral analysis, adaptive cleaning, and quality verification. Please don’t close the browser tab during processing.
Our system is designed to preserve the original character of your music. It uses narrow-band processing that targets only AI artifacts, with automatic loudness matching to maintain the original volume level. However, some minor spectral changes are inevitable — that’s what makes the AI fingerprint undetectable.
Yes — this step is required, not optional. artefactFX performs AI artifact removal, not mastering. Cleaning strips the AI fingerprint, but the output is a pre-master, not a finished, release-ready file. Run it through your usual mastering chain (EQ, compression, limiting, loudness) or send it to a mastering engineer before you distribute it.
Honest answer: not on every single track. The result depends on the file itself and on which AI tool generated it — some sources leave a stronger, harder-to-remove fingerprint. For the large majority of tracks the score drops well below 40%, but in roughly 5% of cases it can stay above 50% no matter how we process it. Note that 40% is the outcome we aim for, not the refund line — see «When do I get a cleaning credit back?» below. That's a limitation of the source material, not a fault in our processing, so we can't promise a sub-40% result on 100% of files. Even in those cases, a proper master after cleaning often pushes a borderline track past detection — another reason to always master the cleaned file before judging the final result or releasing it.
Automatically, whenever a cleaning finishes at 55% AI or above — the credit returns to your account without you asking, because a result that high means the cleaning didn't do its job. Two other cases also cost you nothing: a track already below 45% AI is skipped before processing, and a job that fails is refunded as well. 55% is the refund line, not 40%. The 40% figure you'll see elsewhere is the result we aim for, not a promise — a cleaning that lands between 40% and 55% moved your score measurably and counts as used. If your track sits in that range, mastering the cleaned file is a better next step than cleaning it again: it reshapes the audio the platforms actually analyse, and a second pass usually costs more in quality than it gains in score.
Not equally, and we’d rather tell you before you spend a cleaning than after. Suno is where our engine is strongest. It’s by far the most common source we process, and the large majority of Suno tracks come back well under the high-risk line. The same holds for Riffusion and Sonauto. Udio used to be our weak spot, and that recently changed. For a long time a Udio track arriving with a very high score came back only a few points lower. In late August we shipped a cleaning recipe built specifically for Udio, and it is applied automatically to Udio material scoring above 60% — the first tracks through it dropped by around 40 points instead of 4. We are deliberately not calling Udio solved yet: the recipe is new and the sample is still small, so treat it as a real improvement rather than a promise.

Two things mean this costs you nothing to find out. The AI Checker is free — three checks a day with an account, three without one, so you can measure your track before committing to anything. And if a cleaning finishes at 55% AI or above, the cleaning credit is returned to your account automatically — you are not charged for a clean that didn’t work. So with a Udio track: check the score first, then treat the clean as an attempt worth making rather than a guaranteed fix.
If your track’s AI score is already below 45%, our system will skip the cleaning and notify you that artifacts are within normal range. No cleaning credit is used — use the free AI Checker first to verify your score before cleaning.
Every new account gets 2 free cleanings to test the service. After that, choose a subscription plan starting from $14.99/month for 5 cleanings. Active subscribers can also buy one-off top-up cleanings for $4.99 each — they never expire and kick in once your monthly cleanings run out.
Usually both. AI detectors are statistical models trained on different audio with different thresholds, so two honest tools routinely disagree about the same file — and human-made music gets flagged as well. Treat any single score as information, not a verdict. The checks that actually affect your release are your distributor’s screening at delivery and then the streaming platforms themselves; a track that was accepted and is live has answered the question. Full detail in why two detectors give different scores and the check that actually decides your release.