Audio Noise Reduction
Remove background noise, hum, and hiss. Three strength presets.
Remove background noise, hum, and hiss from audio recordings. FFmpeg's FFT-based denoiser cleans up the most common problems: AC hum, room tone, traffic noise, white-noise hiss. Three strength presets cover light cleanup through aggressive removal. Browser-based, no upload.
How it works
3-step walkthrough
How it works
3-step walkthrough
- 1
Drop audio or video
Audio files (MP3, WAV, FLAC, AAC, OGG, M4A, OPUS, AIFF) and videos (MP4, MOV, MKV, WebM). Video files have their audio extracted automatically.
- 2
Pick a strength
Light: subtle clean-up, preserves the most detail. Medium: balanced default for most podcasts. Heavy: aggressive, useful for recordings with significant hum or hiss but may slightly affect voice timbre.
- 3
Reduce noise and download
FFmpeg processes the audio with afftdn (FFT denoiser) using strength-specific reduction parameters. Output is MP3 at 192 kbps. Inline preview before downloading.
Why use Dropvert
Local-first, free, no upload required
Why use Dropvert
Local-first, free, no upload required
- FFT-based denoising for the most common noise problems — AC hum, room tone, traffic, white noise.
- Three strength presets — no audio engineering knowledge required.
- Browser-side. Works on private recordings without upload.
- Inline audio preview to compare against the original before downloading.
Frequently asked questions
5 answered
Frequently asked questions
5 answered
- How aggressive is "heavy"?
- Heavy applies 20 dB of noise reduction with a noise floor reference of −40 dB. That's enough to clean up significant hum but may introduce a slight underwater quality on voice. For speech-only content you can usually get away with Heavy; for music or environmental audio, Light or Medium preserves more nuance.
- Can it remove voice from a song?
- No — that's a different problem (source separation), and we have a dedicated tool for it: Stems Separation. The Audio Noise Reduction tool removes broad-spectrum noise but doesn't separate sources.
- How does this compare to Adobe Audition / iZotope RX?
- Adobe Audition's "Adaptive Noise Reduction" and iZotope RX's "Spectral De-noise" are more sophisticated than FFmpeg's afftdn — they use longer time windows, AI-trained noise profiles, and advanced spectral subtraction. For professional podcast and music production, those tools are still better. For "make my Zoom recording sound less terrible", afftdn is a clean free alternative.
- Can I sample a noise-only segment?
- Not in v1. The current tool uses a generic noise floor estimate. Custom noise profile (sample a quiet section, subtract it from the rest) is on the roadmap for v2.
- Is my audio uploaded?
- No. FFmpeg.wasm runs the denoising entirely in your browser.
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