Example
- Input
- A voice recording with steady laptop-fan noise and light room hiss.
- Result
- A cleaner voice file with reduced constant noise, ready for a final level and quality check.
Free tool • No login required
Background Noise Reducer
Clean up your voice track with a focused, friendly piece of podcast editing software. Upload an audio file, choose a mode, and remove background noise like hum, fan noise, and electrical hiss—while keeping speech natural.
Try the noise reducer
Instant cleanupRemove background noise from your recordings
Upload an audio file and we'll clean up hum, hiss, fan noise, and other background sounds.
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.
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: remove background noise from spoken-word recordings without over-processing your voice.
Under the hood, it combines techniques inspired by AI denoisers with classic signal processing. 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.
Recommended next step
Keep building your podcast
Turn this result into the next useful asset for your show.