About Noise Reduction
Clean up background hiss, hum, and ambient noise from video and audio recordings. Voices stay crisp without sounding processed.
How noise reduction works
Real-world recordings always pick up some unwanted sound: laptop fan, traffic outside, the air-conditioning, the hum of a fluorescent light, room reverb. Noise reduction analyses a section of pure noise (or learns it dynamically) and subtracts that signature from the rest of the audio, leaving the voice or music intact.
NextConvert uses spectral noise reduction, a Fourier-domain technique that targets specific frequency bands rather than blanket-filtering the whole track. The result is far more natural than the underwater or robotic sound you get from old-school noise gates. You can dial the strength from gentle (a touch of cleanup) to aggressive (broadcast-quality cleanup at the cost of some breath and room ambience).
For best results, the source should have at least 1 second of pure noise (no speech) at the start or end. That gives the algorithm a clean fingerprint of what to subtract. Most recordings include some of this naturally before talking starts.
When to use it
Podcast cleanup
Remove room hum and laptop fan noise so the voice sits cleanly in the mix.
Interview recordings
Cut traffic and HVAC noise from on-location interviews before publishing.
Tutorial videos
Clean up screen-recording narration where the microphone caught keyboard clicks or air conditioning.
Phone-call rescue
Improve audibility of voice notes or recorded calls with consistent background noise.
Supported formats
Input
Output
Step-by-step guide
- 1
Upload your file
Drop a video or audio file with the noise you want cleaned.
- 2
Choose strength
Light (subtle), Standard (most cases), Strong (broadcast). Preview a few seconds before committing.
- 3
Process and download
We apply the cleanup and stream the result back. Original file is untouched.
Tips for the best result
- Standard strength handles most consumer recordings. Reach for Strong only when the noise is severe. Too much processing makes the voice sound hollow.
- For interviews, run noise reduction before any compression or EQ. Cleaning a compressed track over-emphasises the artefacts.
- If the noise changes throughout the recording (someone turns on an appliance halfway, say), split first and process each section separately.
Privacy and security
Files are uploaded to our processing servers over an encrypted connection and removed automatically after the job completes (usually within a few hours). We never share your media or train models on it. You can also delete a job manually at any time from your dashboard.
Read our full privacy policy for retention timelines and our list of subprocessors.