Is There a Way to Remove Background Noise from Audio? A Practical Checklist

Quick answer: yes, but the method depends on the noise

If you can hear it, you can usually reduce it. The catch is that not all background noise behaves the same. Constant hiss, fan hum, street rumble, keyboard clicks, dog barks, and room echo need different moves. Use this checklist in order. Skip a step only when you know why.

1. Identify the noise before you treat it

• Constant broadband noise: fans, air conditioning, hiss, computer hum. AI denoise handles these well.
• Low-frequency hum: electrical buzz, fridge, traffic. High-pass filter and notch EQ help.
• Intermittent noise: keyboard, mouse clicks, chair creaks, notifications. Noise gate or manual editing.
• Room reverb: hollow, echoey voice. Denoise won't fix it; use de-reverb or re-record in a treated space.
• Noise that overlaps speech: music, another voice, traffic during a sentence. AI can reduce it, but may leave artifacts or mute words.

2. Save a copy and work on the copy

Duplicate your original file. If AI processing goes wrong, you can start over. For video, keep the original video and export audio separately if your editor allows it. Then import the treated audio back.

3. Try AI background noise removal first for most spoken-word recordings

AI denoise is the fastest way to get 80–90% of the way there. It learns what speech sounds like and separates it from noise. For a podcast, Zoom call, phone voice memo, or gaming clip, this is usually the first real step after trimming.

If you want a free online option, ClearVoice removes background noise from video and audio without installing software. Upload the file, let the AI process it, compare the before and after on headphones, then download the cleaned version. It is especially useful for one-off recordings when you do not want to learn a full editor.

4. Set the denoise strength like you mean it—then back off

Most tools have a reduction amount, sensitivity, or strength slider. Do not automatically choose 100%. Start around 40–60%. Listen for two things:

• Noise floor: Does the hum disappear between words?
• Voice naturalness: Do S, T, and K sounds still sound like a human? Or do they turn into a lisp, metallic shimmer, or underwater warble?

If the voice sounds processed, lower the strength. A little remaining room tone is more pleasant than a robotic voice.

5. Use a noise gate only for intermittent noise

A noise gate mutes audio below a volume threshold. It is great for keyboard clicks and room noise between sentences. It is terrible for continuous noise because it will chop the tails of words.

1. Find the noise floor: listen to a silent gap and note the level in dB.
2. Set the gate threshold just above that level.
3. Set attack fast, around 1–5 ms.
4. Set release slow, around 100–200 ms, so word endings do not cut off.
5. Use a range or reduction amount of 6–12 dB, not full mute, if the gate sounds obvious.

6. Clean up hum and rumble with EQ

After denoise, use a high-pass filter. For most voices, set it between 80 Hz and 100 Hz. That removes rumble without thinning the voice. For electrical hum, notch out 50 Hz or 60 Hz depending on your region, plus the harmonic at 100/120 Hz. Use a narrow Q and cut only a few dB. If the hum is gone after AI denoise, skip this.

7. De-ess after denoise, not before

Denoise can make sibilance more obvious. If S sounds are harsh, use a de-esser. Set it to reduce 5–8 kHz by 3–6 dB only when sibilance hits. If you do not have a de-esser, a gentle dynamic EQ cut works.

8. Check for artifacts with A/B listening

This is the step most people skip. Solo your treated track, then toggle between processed and original. Listen on headphones, laptop speakers, and phone speakers. Ask:

• Are breaths and mouth clicks louder or stranger?
• Do words smear together?
• Is there a metallic ring on plosives?
• Did the AI remove background music that was supposed to stay?
• Does the noise floor pump up and down between words?

If yes, reduce strength, try a different tool, or manually edit the worst spots.

9. Manually fix what AI misses

For a 20-minute podcast, spend 10 minutes on manual cleanup. Delete obvious clicks, coughs, and chair creaks. If a loud noise overlaps a word, use a spectral repair tool or replace the word with a clean take. Do not try to denoise a ruined word into perfection; a quick punch-in is faster and sounds better.

10. Normalize and export correctly

After denoising, set your loudness. For podcasts, aim for -16 LUFS mono or -16 to -14 LUFS stereo. For YouTube, around -14 LUFS. For voice memos and social clips, -14 to -12 LUFS is fine. Keep peaks below -1 dBTP. Export a WAV for archive and an MP3/AAC for upload.

11. Match the tool to the recording

• Podcast or voiceover: AI denoise, high-pass, de-ess, compress, normalize.
• Zoom or Teams call: Use a local recording if possible. If not, AI denoise first, then gate lightly. Avoid heavy processing because call audio is already compressed.
• Phone voice memo: AI denoise works well. High-pass at 100 Hz. Do not over-EQ; phone mics are already thin.
• Gaming clip: Separate mic and game audio if you recorded them on separate tracks. Denoise the mic track only. If mixed, AI can remove fan/AC but may also remove game ambience.
• Video interview: Process audio in your editor. Use AI denoise, then check lip sync after export.

12. Know when to re-record

If the noise is as loud as the voice, if a leaf blower ran during your only take, or if the room echoes badly, no tool will make it sound professional. Re-record if you can. For future recordings: get the mic closer, set gain so peaks hit -12 to -6 dB, turn off fans, use a dynamic mic in untreated rooms, and record a few seconds of room tone for editing.

The bottom line checklist

1. Back up the original.
2. Identify the noise type.
3. Trim and manually remove obvious clicks.
4. Run AI background noise removal at 40–60% strength.
5. Gate only intermittent noise.
6. High-pass and notch hum if needed.
7. De-ess and compress lightly.
8. A/B test on multiple speakers.
9. Normalize to your platform target.
10. Export and listen to the final file once more.

Yes, there is a way to remove background noise from audio. For most people, the fastest path is a free online AI tool like ClearVoice for the heavy lifting, followed by a few small EQ and level adjustments. The trick is not to overdo it. Clean speech should still sound like speech.