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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.

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4.7/5 from 150+ producers
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A single-purpose helper for clear dialogue

When you record a podcast, you want listeners to focus on ideas, not the room. But real studios are rare: there is often an air conditioner somewhere, a computer fan a few feet away, or a faint electrical hiss from a preamp. The Background Noise Reducer is built for exactly these realities. It 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 practical, battle-tested techniques inspired by AI denoisers with classic signal processing. Auto mode applies a sensible stack for most recordings. For hum, it notches out 50 Hz and 60 Hz mains interference and their harmonics. For fan noise, it shapes the spectrum toward the vocal range so steady broadband noise sinks under the dialogue. For hiss, it gently limits excessive high-frequency energy while keeping sibilants intelligible. The result is a clear, comfortable track that still sounds like you.

This is not a full editor. It will not remove filler words, trim silence, or correct mistakes. Instead, it complements your existing workflow in DAWs or editors like Audacity, Adobe Audition, Logic Pro, or Hindenburg. Think of it as lightweight podcast editing software you can open in a browser whenever background noise sneaks into an interview or solo episode. Upload, reduce, and download a clean WAV you can drop into your session.

Because processing happens in your browser, your audio stays on your device for privacy. There is no login, no upload queue, and no watermarks. Whether you are producing a weekly show or recording an urgent update on the road, you can remove background noise quickly and move on.

Try the noise reducer

Instant cleanup

Remove 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.

Best practices for clean, natural results

The fastest way to remove background noise is to prevent it at the source, then let software do the last 10–20%. These tips help you get there consistently:

  • Record close to the microphone at a steady level. Strong signal beats noise. Aim for peaks around −12 dBFS so you are not pushing preamps into hissy territory.
  • Turn off or move away from steady noise makers. If you can, switch off AC during a take or move the mic so a computer fan vents away from it.
  • Choose the mode that matches your problem. For low buzz in North America, try Hum (60 Hz). In many other regions, Hum (50 Hz) fits mains power. If it just sounds like air, Fan or Auto is a good start.
  • Start with moderate strength. If noise is still obvious, increase in small steps. If speech starts to lose sparkle or air, back the strength down.
  • Compare A/B before committing. Listen to quiet passages and breaths, not just sentences. The goal is a pleasant noise floor without artifacts.
  • Use this alongside your DAW or favorite podcast editing software. After you remove background noise here, do trims, fades, music, and mastering in your editor.

Trusted by indie hosts and team producers

★★★★★
“We recorded during a heat wave with the AC on low. This removed the hum and we shipped the episode on time.”
— Jamie, indie host
“The fastest way I’ve found to clean a rough interview. Upload, click reduce, download. That’s it.”
— Morgan, news producer
“Nice balance between control and simplicity. Auto mode gets me 90% there most of the time.”
— Priya, audio 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.

Try it now