Remove noise from video and audio

How AI noise removal works

Every real-world recording captures a noise floor around the voice. Speech isolation models learn to separate the vocal track from that floor. The model first detects speech segments, then profiles the non-vocal signal — fans, hum, hiss, wind, room tone — and reconstructs the voice without it. The output keeps your natural tone; it reduces noise rather than changing your voice.

This matters for creators, podcasters, students, and remote workers: a clean track is easier to listen to, captions transcribe more accurately, and viewers stay longer.

What you can clean with RemoveNoise

• Voice memos and phone recordings with room noise
• Vlogs, interviews, and talking-head videos with wind or traffic
• Podcast episodes with fan hum and AC noise
• Recorded lectures and meetings with background chatter
• Older audio archives with hiss and static

Supported formats: MP3, WAV, M4A, AAC, FLAC, OGG, MP4, MOV, WEBM, and AVI — files up to 500 MB. Speech-first processing keeps the voice natural while cutting wind, traffic, fans, hum, and hiss.

Honest expectations

• Reduces noise — most wind, traffic, fan, hum, hiss, and room tone is removed.
• Keeps your voice — we isolate speech; we do not replace or synthesize it.
• No magic restore — near-silent or heavily distorted audio cannot be recovered.
• Clean audio output — download an MP3 ready for any editor or platform.

Who uses RemoveNoise

• Creators cleaning vlogs, interviews, and talking-head videos before publishing
• Podcasters removing fan hum, room tone, and traffic from episodes
• Students cleaning recorded lectures with background chatter or AC noise
• Remote workers salvaging noisy meeting recordings and voice memos

If your recording has a person speaking and unwanted background sound, this tool is built for that job.

How RemoveNoise compares with other options

• EQ filters and noise gates — free but blunt; they cut frequencies rather than understanding speech, which can make the voice sound thin or choppy.
• Desktop audio editors — powerful but require installation, plugins, and manual tuning per clip.
• AI speech isolation — trained models separate speech from noise automatically and preserve the natural voice. This is what RemoveNoise uses, in the browser, with no installation.

For most people the practical difference is speed: upload, wait under a minute, download. No tutorials, no plugins, no learning curve.

Common noise types we remove

• Wind and outdoor ambience — gusts, traffic, crowd chatter
• Mechanical hum — air conditioning, fans, refrigerators
• Room tone and echo — the low-level hiss of any indoor space
• Electronic hiss — microphones, preamps, wireless receivers
• Background media — a TV, radio, or music playing nearby

How to remove noise step by step

1. Upload your file. Choose a video or audio clip up to 500 MB. MP3, WAV, M4A, AAC, FLAC, OGG, MP4, MOV, WEBM, and AVI are all supported — audio-only and video files both work.
2. Let the AI isolate the voice. Speech-first processing separates the vocal track from the noise floor: wind, traffic, fans, hum, hiss, and room tone are reduced while the speaker's natural tone and pacing are preserved.
3. Preview and download. Listen to the cleaned audio in the browser, then download the MP3 and drop it into any editor or publishing platform. Files auto-delete within 24 hours.

Most short clips finish in under a minute. Longer files take longer but keep processing in the background — the result appears on the same page when ready.

Privacy and pricing

Uploads are stored only long enough to process and download, then auto-deleted (typically within 24 hours). Try the free tier — up to 3 short files per day (60 seconds each), no credit card. Longer files use credits: 1 credit = 1 processing minute, with packs from $29 and monthly plans from $49.