Interview & Field Recording Enhancer
Rescue outdoor interviews and field recordings from wind, traffic, and crowd noise. Browser-only audio enhancer, free and private.
Drop an audio file here
or click to browse
Supports MP3, WAV, M4A, OGG, FLAC, AAC · Max 500 MB
Enhancement Mode
Field recordings present a fundamentally different challenge from studio audio: wind turbulence generates low-mid rumble that simple high-pass filters cannot fully address, and crowd noise or traffic occupies the same frequency bands as human speech. Rescue mode was designed for exactly this scenario. It runs a steep high-pass at 100 Hz to cut wind blast and mechanical vibration, applies aggressive non-local-means denoising (anlmdn) which is particularly effective against non-stationary noise like gusts and passing vehicles, then uses parametric EQ to boost intelligibility in the 1–2 kHz range where consonants carry most of their detail, and finally applies heavy compression to bring buried dialogue up to a listenable level. The result is rarely broadcast-perfect — genuine outdoor recordings require professional audio restoration software for that — but it can make previously unintelligible audio usable for social media, documentary rough cuts, or transcription services.
Free Online Audio Noise Remover — No Upload Required
Zolkit's Audio Enhancer runs FFmpeg's professional audio filters directly in your browser using WebAssembly. Upload any audio file — MP3, WAV, M4A, OGG, FLAC, or AAC — and get clean, broadcast-ready sound in seconds. All processing happens locally on your device; your audio is never sent to any server. No subscription, no account, no Adobe Podcast paywall.
100% Private
Audio never leaves your device. Processing runs entirely in the browser via WebAssembly — no uploads, ever.
FFmpeg-Powered
Uses the same audio filters trusted by broadcasters: afftdn FFT denoising and anlmdn spectral cleanup.
Three Enhancement Modes
Light, Studio, and Rescue modes cover everything from minor hiss removal to heavy outdoor noise.
Fast Local Processing
WASM runs at near-native speed. A 5-minute recording typically processes in under 15 seconds.
Free, No Account
No subscription or sign-up required. Zolkit's Audio Enhancer is free to use with no limits.
Voice Boosted
Studio mode applies dynamic compression to lift vocal presence and even out quiet and loud passages.
How to Remove Background Noise from Audio
- 1
Upload your audio file — drag it onto the page or click to browse. Supports MP3, WAV, M4A, OGG, FLAC, and AAC.
- 2
Choose an enhancement mode: Light for minor noise, Studio for voice and podcasts, or Rescue for heavily noisy recordings.
- 3
Click Enhance Audio. Preview the result with the built-in player, then download the cleaned WAV file.
Frequently Asked Questions
Can it remove wind noise from an outdoor interview?
Rescue mode applies a 100 Hz high-pass filter and aggressive non-local-means denoising specifically designed for non-stationary noise like wind. It significantly reduces wind rumble and flutter. Very severe wind — where the microphone is fully overloaded — cannot be fully recovered, but moderate wind typically yields usable dialogue.
What is the difference between Studio and Rescue modes for interviews?
Studio is calibrated for controlled environments with steady background noise (room tone, fan hiss). Rescue uses more aggressive denoising parameters, a steeper high-pass, and heavier dynamic compression — all tuned for unpredictable outdoor noise where the noise profile changes second by second.
Can it clean up a phone interview recording?
Yes. Phone audio typically suffers from a narrow frequency range, codec noise, and occasional packet-loss artifacts. Rescue mode's denoising removes codec background hiss, and the compressor normalizes the uneven levels common in phone recordings.
Will processing degrade audio quality?
The output is a full-resolution WAV file — no quality is lost in encoding. The filters do alter the audio signal, and aggressive denoising can introduce slight artifacts on voice consonants if the original signal-to-noise ratio is very low. Preview the result with the built-in player before deciding to use it.