Can I remove background noise from a video recording?

You would need to extract the audio from the video first, process it with our noise reducer, then re-sync it with the video. We currently support audio files only (MP3, WAV, FLAC, OGG, M4A).

Will noise reduction affect the quality of my voice?

Light to medium noise reduction has minimal impact on voice quality. Heavy reduction can introduce artifacts — a slight metallic or robotic quality. Always preview the result before downloading.

What if my recording does not start with silence?

The algorithm uses the first 0.5 seconds to estimate the noise profile. If your recording starts immediately with speech or music, the noise estimation may be less accurate. For best results, add 1 second of silence at the beginning of your recording before processing.

Is there a file size limit?

No file size limit. All processing happens locally in your browser using Web Audio API — nothing is uploaded to any server.

Can I use this for music recordings?

Yes, but be careful with heavy reduction on music — it can affect the natural sound of instruments. For music, use light reduction (20–40%) to remove hiss without affecting the musical content.

Remove Background Noise from Audio Online Free

Clean up hiss, hum, fan noise, and room noise from any audio recording using spectral subtraction. Perfect for podcasts, voice recordings, and interviews. No upload required.

Spectral SubtractionPodcast ReadyNo Upload100% Free

Drop your audio file here

MP3, WAV supported — processed locally, never uploaded

Browse file

MP3WAVFLACOGG

Reduction Strength

Spectral subtraction (Boll 1979): noise profile estimated from first 0.5s, subtracted bin-by-bin from 1024-bin FFT frames with 75% overlap. Original phase preserved.

About This Tool

This page targets the broadest noise removal query — covering all audio types, not just podcasts. It explains the 5 noise types the tool handles (hiss, hum, fan, room, wind) with quality ratings, the spectral subtraction algorithm step-by-step, and a complete voice recording workflow. Unlike the podcast-specific noise pages, this page serves voice-over artists, interviewers, field recorders, and music producers equally.

Types of Background Noise This Tool Removes

Our noise reducer handles the most common types of background noise in audio recordings:

Noise TypeCommon SourcesReduction Quality

Hiss / White noiseMicrophone self-noise, tape hissExcellent

Hum (50/60 Hz)Electrical interference, ground loopsGood

Fan / HVAC noiseAir conditioning, computer fansExcellent

Room ambienceRoom reverb, background chatterGood

Wind noiseOutdoor recordings, breath popsModerate

How Spectral Subtraction Noise Reduction Works

Our noise reducer uses spectral subtraction (Boll, 1979) — one of the most reliable noise reduction algorithms:

Noise profile estimation: The algorithm analyzes the first 0.5 seconds of your recording to estimate the noise floor — this assumes the recording starts with noise before the signal begins.
STFT analysis: The full audio is transformed into the frequency domain using Short-Time Fourier Transform.
Spectral subtraction: The estimated noise spectrum is subtracted from each frequency bin of the signal.
Reconstruction: The cleaned spectrum is converted back to audio using inverse STFT.

Tip: For best results, make sure your recording starts with 0.5–1 second of pure noise (no speech or music) before the main content begins.

Noise Reduction for Podcasts and Voice Recordings

Podcasters and voice-over artists benefit most from noise reduction. Here is the recommended workflow:

Record with a noise tail: Start your recording with 1–2 seconds of silence (just the room noise) before speaking. This gives the algorithm a clean noise profile to work with.
Upload to the noise reducer: Drop your WAV or MP3 file onto the tool above.
Download the cleaned audio: The output will have significantly reduced background noise.
Normalize the volume: Use our Volume Normalizer to bring the cleaned audio to the correct loudness level (-16 LUFS for podcasts).
Remove silence: Use our Remove Silence tool to clean up any remaining silent gaps.

Noise Reduction Settings Guide

Adjust the noise reduction strength based on your recording:

Light reduction (20–40%): For recordings with minimal noise — preserves the most natural sound quality.
Medium reduction (40–70%): For typical room recordings with moderate background noise — the best balance for most podcasts.
Heavy reduction (70–100%): For recordings with significant noise — may introduce some artifacts but dramatically reduces noise floor.

Start with medium reduction and increase only if needed. Over-processing can make voices sound robotic or metallic.