TrackWasher removes synthetic fingerprints from AI-generated music, making your tracks sound naturally produced and human.
Process
Our engine analyzes your track's spectral fingerprint and applies targeted transformations to remove AI-generated artifacts.
Drop your WAV, FLAC, or MP3 file. We support files up to 50 MB and all common sample rates.
Select from Light, Medium, or Heavy processing depending on how much transformation you need.
Your washed track is ready in seconds. Download and use it anywhere — clean, natural, human-sounding.
Wash a track
Select your audio file and preferred wash intensity.
Drag & drop your file or browse
WAV, FLAC, MP3 — max 50 MB
Subtle adjustments. Keeps the original character intact.
Balanced wash. Good for most AI-generated tracks.
Deep processing. Maximum artifact removal.
Analyzing spectral fingerprint…
Pricing
No subscriptions, no hidden fees. Just clean audio.
≈ $1.40 USD — one-time payment
FAQ
TrackWasher analyzes the high-frequency spectral characteristics of your audio and applies targeted transformations — noise injection, harmonic enrichment, micro-timing variation, and EQ adjustments — to remove the telltale patterns left by AI music generators and vocoders.
The Light preset makes near-imperceptible changes. Medium introduces subtle analog warmth. Heavy applies more noticeable processing but still preserves the musical content. Think of it as adding the natural imperfections that human recordings have.
TrackWasher is designed to address artifacts from common neural audio synthesis methods including diffusion models, neural vocoders (HiFi-GAN, WaveNet), and mel-spectrogram based generators. It works with output from Suno, Udio, and similar platforms.
Your original upload and the processed file are available for download for 48 hours, then permanently deleted from our servers. We never share, analyze, or use your audio for any other purpose.
We use Stripe for secure payments. All major credit and debit cards are supported, as well as Apple Pay and Google Pay where available.