Fan noise
Smoothed simulated broadband noise and 48 Hz rumble. Voice-band high/low-pass filters reduce low and high frequency noise.
Mode: Fan noise; strength: 60/100. Mono, 44.1 kHz, 16-bit WAV.
Before
After
Download the input to try these settingsBackground Noise Reducer
Clean up your voice track with a focused, friendly piece of podcast editing software. Upload an audio file, choose a mode, and reduce steady hum, fan noise, and electrical hiss. Listen for lost voice detail before exporting.
Start cleaningAlways freeNo account needed
Remove background noise from your recordings
Choose a mono or stereo audio file up to 100 MB and 30 minutes. Processing uses local frequency filters, not AI. No audio is uploaded. WAV and MP3 are recommended; M4A and WebM depend on browser codecs. Export is 16-bit PCM WAV.
Original
Cleaned
Your cleaned audio will appear here.
- Best with steady background sounds like AC hum, computer fans, and gentle hiss.
- Does not remove filler words, breaths, or mistakes-this tool only targets noise.
- For heavy noise, try a higher strength. If the voice sounds dull, reduce strength.
What you can use and export
Free with no account, trial, or subscription.
Inputs
- Mono or stereo WAV and MP3
- M4A and WebM when supported by the browser codec
Outputs
- 16-bit PCM WAV at the decoded sample rate, with original duration and channels
Local browser Web Audio filters. No audio upload and no AI model.
Limits and checks
- 100 MB per file
- 30 minutes per clip
- Mono or stereo audio
- Best for steady noise; sudden clicks, traffic, clipping, and overlapping speakers may remain.
- Frequency filtering can dull the voice. Compare before and after before exporting.
Material review: 2026-10-01. Demonstration script, settings, and sources
Listen before you process
Three reproducible examples use the same original synthetic narration with added noise simulations. The cleaned files use this tool's local filters at strength 60. Results depend on the recording; listen for voice changes as well as noise reduction.
Electrical hum
Simulated 60, 120, and 180 Hz hum. Notch filters target these tones; they cannot repair clipping or irregular interference.
Mode: Hum (60 Hz); strength: 60/100. Mono, 44.1 kHz, 16-bit WAV.
Before
After
Download the input to try these settingsHigh frequency hiss
Simulated high frequency noise. A low-pass filter reduces the upper frequencies, with a possible loss of voice brightness.
Mode: Hiss; strength: 60/100. Mono, 44.1 kHz, 16-bit WAV.
Before
After
Download the input to try these settingsCreated and reviewed October 1, 2026. Read the script, source, and simulation details. No field recording or third-party music was used.
Features
Search the list to explore how the tool targets common problems. Each feature is tuned for voice-first workflows, so you can keep momentum while you edit and publish.
8 matches
Hum removal (50/60 Hz)
Target electrical hum from mains power and its harmonics with precise notch filters.
Fan noise reduction
Reduce steady broadband fan noise while keeping dialogue clear and present.
Hiss control
Tame high-frequency hiss from preamps or room tone without muddying the voice.
Auto mode
Let the tool apply a sensible blend of hum filtering and broadband cleanup for most recordings.
Adjustable strength
Dial in how aggressively noise is reduced to balance clarity and naturalness.
Export to WAV
Download a high-quality 16-bit WAV of your cleaned track for editing or publishing.
A/B comparison
Listen to the original and cleaned versions side by side to validate improvements.
Runs in your browser
Processing happens locally using modern Web Audio—no upload required for privacy.
How to clean up audio for professional results
When you record a podcast, you want listeners to focus on ideas, not the room. Real studios are rare, so noise happens. This guide clarifies how to tackle it.
1. The Single-Purpose Advantage
The Background Noise Reducer is a minimal tool that does one thing well: reduce steady noise in spoken-word recordings; stronger filtering can remove useful voice detail.
The tool uses deterministic Web Audio frequency filters, with no AI model or upload. For hum, it notches out 50/60 Hz interference. For fan noise, it shapes the spectrum. For hiss, it limits high-frequency energy.
2. Best Practices
- Record close: Strong signal beats noise. Aim for peaks around −12 dBFS.
- Source control: Turn off AC or move fans away from the mic before recording.
- Match the mode: Use Hum (60 Hz) for North American buzz, or Auto for general air noise.
- Moderate strength: If speech loses sparkle, back the strength down.
- Workflow: Use this alongside your DAW. Clean here, then trim and mix in your editor.
FAQ
Will this make my voice sound unnatural?
It aims to keep voices natural. If the result sounds dull, lower the strength or switch modes. Overly aggressive settings can reduce brightness; gentle settings often remove enough noise while preserving tone.
Does it work on music or field recordings?
It is optimized for spoken-word. Background music and complex ambiences may not respond well. For those use cases, a full-featured editor with multiband gates or spectral tools is a better fit.
What file types are supported?
Most browser-decodable formats (like WAV, MP3, M4A, and WebM) work for input. The download is a 16-bit WAV, which plays nicely with editors and hosting platforms.
How does this compare to other podcast editing software?
Traditional DAWs offer deep control but take time to set up. This tool is focused and fast: open a tab, remove background noise, export. Use it alongside your editor, not instead of it.
Make your next episode easier to listen to
Upload a vocal track and reduce steady hum, fan noise, and hiss in minutes. Keep your focus on storytelling.
Keep building your podcast
Turn this result into the next useful asset for your show.