Remove Background Noise From Vocals
Reduce fan noise, room tone, street noise, and background rumble while keeping vocal tone natural.
- Noise reduction (steady + fluctuating)
- Hiss control without dulling highs
- Cleaner “silence” between phrases
DRAG ASSET OR CLICK TO BROWSE
WAV, MP3, FLAC
Flawless Vocals, Engineered by Autonomous Visual-Audio AI.
Standard vocal cleaners apply blind algorithms that leave your voice sounding thin, choppy, or underwater. We took a completely different approach.
Introducing a world-first in audio processing: an autonomous, multi-modal AI that evaluates your vocal stems the same way a master engineer would. By mapping your audio into a high-resolution spectral atlas, our engine "looks" at the noise floor, analyzes the artifacts, and iteratively tunes studio-grade DSP parameters in real-time. The result? Surgically clean, streaming-ready vocals with zero compromise to your natural tone.
This is cutting-edge technology and has just been released. We haven’t optimized it for speed yet — our focus has been on quality. If you continue getting strong results, we’ll prioritize speeding it up.
We’ve made this free for now. During periods of high demand, requests may be placed in a queue to ensure stable processing and consistent quality for all users.
We’ve currently capped the engine at 5 cleaning iterations while we analyse results and collect your feedback. As we confirm what’s working best across different vocal types, we’ll open it up to more iterations for even higher-quality cleanup — and once the quality ceiling is locked in, we’ll focus on speeding it up so it hits faster turnaround without sacrificing tone.
Our architecture goes beyond standard audio processing. We’ve built an autonomous feedback loop that treats audio cleaning as a dynamic, evolving process.
Our engine converts your audio into a highly detailed visual atlas, isolating low-frequency rumble, harsh sibilance, and high-band haze.
A cognitive AI agent evaluates this spectral data alongside acoustic gap metrics, dynamically adjusting thresholds, compression ratios, and EQ curves until the signal is perfect.
Constrained by strict studio-safety guardrails, the AI actively prevents "underwater" phase issues, protects breath tails, and ensures thresholds only ever tighten—never loosen.
Real-time noise-floor tracking with surgical subtraction, maintaining phase integrity across the full frequency spectrum.
Proprietary high-band hiss targeting ensures the "silence" between vocal phrases is pitch-black, eliminating sub-harmonic haze before mastering.
Tames harsh sibilance without the digital ringing or phase smearing associated with standard FFT brickwall filters.
Dual-pass loudness normalization targeting a strict -14 LUFS with a -1.0 dBTP ceiling. Your cleaned vocals are instantly ready for streaming integration.
Real-time noise-floor profiling with surgical subtraction, maintaining phase integrity across the full frequency spectrum.
Leveraging AI to analyze 4-panel X-ray atlases, automatically eliminating sub-harmonic haze and digital artifacts.
Dual-pass loudnorm processing targeting -14 LUFS integrated with a strict -1.0 dBTP ceiling for streaming readiness.
Clean vocals fast with an AI vocal cleaner built to remove background noise from vocals, reduce hiss, tame harsh sibilance, and improve overall vocal clarity without making your voice sound robotic.
Reduce fan noise, room tone, street noise, and background rumble while keeping vocal tone natural.
Improve intelligibility so lyrics cut through the mix—especially on phones, earbuds, and small speakers.
This tool cleans a recorded vocal. If you want to separate vocals from a song, use a stem splitter.
You keep full rights to your audio and output files.
Add your policy here: auto-delete after X hours/days, encrypted storage, etc.
Designed to reduce noise while keeping tone natural (less “underwater” artifacts).
A vocal cleaner improves a recorded vocal (noise, hiss, echo, harshness). A vocal remover separates vocals from a full song (stems). If you need stems, use Vocal Remover.
Yes—best results come from using a moderate cleaning strength and leaving a short section of room noise in the file so the model can identify what to remove.
Yes. Rap vocals often need more control around hiss/harshness and plosives; singing vocals often need smoother top-end control and less room echo.
WAV is best for quality. MP3 also works. Add your exact supported formats and limits here.
Heavy clipping/distortion can’t always be fully restored. You’ll usually get improvement, but it depends on how damaged the signal is.