Remove background noise from audio recordings using AI. Eliminate fan noise, static, hum, keyboard clicks, traffic sounds, and more. Upload your audio file and get a clean, professional-sounding result in seconds. Free to use, no signup required.
Drag and drop your audio file here
Supports MP3, WAV, FLAC, OGG, M4A, and AAC files
AI-powered noise removal that intelligently separates speech from background noise
Preserves voice clarity and natural tone while removing unwanted sounds
Supports MP3, WAV, FLAC, OGG, M4A, and AAC audio formats
Removes fan noise, AC hum, static, keyboard clicks, and traffic sounds
Preview cleaned audio directly in the browser before downloading
No software installation required -- works entirely in the browser
Fast processing with results in 10-30 seconds for most files
Download cleaned audio as high-quality MP3
Free to use with no account or signup required
Handles voice memos, podcasts, interviews, meeting recordings, and more
Clean up podcast recordings by removing background hum, air conditioning noise, and ambient room sounds. Deliver professional-sounding episodes without expensive studio equipment.
Remove distracting background noise from interview recordings made in cafes, offices, or outdoors. Ensure every word is clear and easy to understand for transcription or publication.
Clean up voice memos recorded on the go. Remove wind noise, traffic sounds, and crowd chatter from recordings made on your phone so you can share them clearly.
Extract and clean the audio track from video recordings. Remove unwanted noise before reinserting the cleaned audio, resulting in more professional video content.
Improve the audio quality of recorded Zoom calls, Teams meetings, and Google Meet sessions. Remove typing sounds, fan noise, and echo from remote meeting recordings.
Clean up home studio recordings by removing room noise, electrical hum, and ambient interference. Get closer to studio-quality results from your home recording setup.
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Powered by advanced AI that understands the difference between speech and noise, delivering studio-quality cleanup in seconds.
Advanced machine learning models trained on thousands of audio samples intelligently separate speech from noise, delivering studio-quality results.
Unlike basic noise gates, our AI preserves the natural tone, warmth, and clarity of the original voice while removing only unwanted noise.
From constant hum and static to intermittent keyboard clicks and traffic sounds, the AI adapts to remove a wide range of noise types.
Simply upload your file and let the AI do the work. No manual threshold adjustments, frequency selection, or technical knowledge required.
Access the noise remover from any device with a browser. Works on desktop, laptop, tablet, and mobile without installing any software.
Preview the cleaned audio in the browser and download immediately. No waiting in queues or checking back for results.
Our AI handles a wide spectrum of background noise, from constant hums to intermittent clicks and environmental sounds.
Constant low-frequency hum from desk fans, ceiling fans, air conditioning units, and HVAC systems that make recordings sound unprofessional.
Repetitive clicking and clacking sounds from mechanical keyboards, trackpads, and mouse buttons picked up during screen recordings and calls.
Cars, trucks, sirens, horns, and general street ambiance captured when recording near windows or outdoors in urban environments.
The 50Hz or 60Hz hum from power lines, ground loops, and poorly shielded audio cables that causes a persistent buzzing in recordings.
High-frequency hissing and crackling caused by low-quality microphones, analog equipment, or poor signal-to-noise ratios in the recording chain.
General room tone, distant conversations, TV or radio bleed, and reflections from hard surfaces that muddy the clarity of recordings.
More free audio tools
Audio noise removal is the process of identifying and eliminating unwanted sounds from a recording while preserving the desired audio content such as speech, music, or sound effects. Traditional methods rely on manual frequency filtering and noise gates, but modern AI-powered approaches use deep learning models trained on thousands of audio samples to intelligently distinguish between signal and noise, producing far superior results.
Traditional noise reduction tools require you to manually select a noise profile, adjust threshold levels, and tweak frequency bands. AI noise removal eliminates this complexity entirely. The model automatically identifies what constitutes noise versus desired audio and removes only the unwanted components, even when both are present simultaneously. This means cleaner results with less effort and fewer artifacts.
Noise removal is essential whenever background sounds compromise the clarity of a recording. Common scenarios include podcast episodes recorded in untreated rooms, interviews conducted in noisy environments, voice memos captured on the go, Zoom meeting recordings with typing and fan noise, and home studio recordings with electrical interference. Cleaning up audio before publishing or sharing ensures a professional impression.
For the best noise removal results, start with the highest quality source recording you have. While our AI handles even heavily degraded audio, cleaner source material leads to better outcomes. Use lossless formats like WAV or FLAC when possible. If recording in a noisy environment, try to minimize the noise at the source by using a directional microphone and positioning it close to the speaker.