Free AI Noise Remover

Remove Background Noise from Audio Files

Clean up recordings with unwanted hiss, hum, wind, or low-frequency rumble. Our noise remover applies intelligent FFmpeg highpass and lowpass filters to isolate and preserve the audio you want.

Removes hiss, hum & wind noise Highpass & lowpass filter controls Works on voice, podcasts & music

Drop your file here

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Up to 100 MB free • Outputs: MP3, WAV, FLAC

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Files deleted in 2h

Fast processing

No signup needed

Simple & Fast

How to Use AI Noise Remover

Convert your files in three simple steps — no software, no signup.

Upload Noisy Audio

Upload your MP3, WAV, FLAC, M4A, AAC, or other audio file that contains background noise you want to reduce.

Choose Filter Type

Select the noise profile: Highpass filter removes low-frequency rumble/hum, Lowpass filter removes high-frequency hiss, or combine both for broadband noise reduction.

Download Clean Audio

Download the cleaned audio file. The filters are applied in a single FFmpeg pass, preserving the original format and quality of your voice or music.

Features

Why Use AI Noise Remover?

Remove Background Hiss

Highpass filtering cuts frequencies below 80–200 Hz, eliminating air conditioning hum, microphone rumble, and low-end room noise.

Cut High-Frequency Hiss

Lowpass filtering above 8–12 kHz removes tape hiss, electrical interference, and recording noise that sits above the vocal range.

Voice Clarity Boost

Optimised presets for spoken word recordings improve intelligibility of podcasts, interviews, voice-overs, and conference call recordings.

Music Restoration

Remove vinyl record crackle, tape noise, and recording artefacts from old recordings while preserving the musical content.

Video Audio Cleanup

Upload an MP4, MOV, or MKV file directly — the tool will clean the audio track and return a standalone cleaned audio file.

Private Processing

Audio is processed in an isolated temporary directory and permanently deleted after one hour. No human access to your files.

Compatibility

Supported Formats

All the formats you need, all in one place.

Format	Description	Extension	Best Used For
PODCAST MP3	Remove room noise from recorded podcasts	`.mp3`	Interview recordings, home studio podcasts
VOICE WAV	Clean up voice recording noise	`.wav`	Voice-over artists, narration cleanup
FIELD RECORDING	Reduce wind and ambient noise	`.wav`	Outdoor recordings, nature soundscapes
VIDEO AUDIO	Strip and clean audio from video files	`.mp4`	YouTube vlogs, meeting recordings
OLD RECORDINGS	Restore vintage tape and vinyl audio	`.flac`	Archive digitisation, music restoration
CONFERENCE AUDIO	Remove hum from conference recordings	`.m4a`	Zoom calls, Teams meetings, webinars

FAQ

Frequently Asked Questions

A highpass filter allows frequencies above a set threshold to pass through while attenuating lower frequencies. It's used to remove low-frequency noise like microphone handling noise, HVAC rumble, or 50/60 Hz electrical hum.

A lowpass filter allows frequencies below a threshold to pass through, cutting high-frequency noise. It's effective for removing tape hiss, electrical interference, and high-pitched background sounds that sit above the voice range.

When used conservatively, the impact on voice quality is minimal. Aggressive filtering can introduce a "telephone effect" on voices. We recommend starting with gentle preset values and checking the output before applying stronger settings.

Yes. Upload any MP4, MOV, MKV, or AVI video file and the tool will extract and process the audio track. The cleaned audio is returned as a standalone audio file, which you can then remix with the original video using a video editor.

Our tool performs noise reduction using frequency-based filters — this attenuates noise in specific frequency bands. True AI noise removal (spectral subtraction) is a more computationally intensive process. Our filter-based approach is fast and effective for most common noise types.

Input formats include MP3, WAV, FLAC, AAC, M4A, OGG, OPUS, WMA, MP4, MOV, MKV, and AVI. Output is delivered in the same format as the input, preserving your workflow.

Real-World Uses

Who Uses AI Noise Remover?

From everyday users to professionals — see how people rely on this tool every day.

Podcaster

Clean Home Studio Recordings

Remove HVAC hum, computer fan noise, and room ambience from home recordings so your voice sounds clear and professional.

YouTuber

Fix Noisy Video Audio Tracks

Upload your MP4 to strip background noise from vlog, tutorial, or interview videos without re-recording or using expensive software.

Business User

Clean Up Conference Call Recordings

Remove the electronic hum and background noise from Zoom, Teams, or phone call recordings before sharing or transcribing them.

Filmmaker

Reduce Wind Noise from Field Recordings

Outdoor recordings often suffer from wind rumble and low-frequency interference. A highpass filter at 80–120 Hz dramatically cleans up field audio.

Archivist

Restore Old Tape and Vinyl Recordings

Apply gentle highpass and lowpass filtering to aged analogue recordings to reduce tape hiss and crackle before digital archiving.

Voice-Over Artist

Polish Voice-Over Deliverables

Studio voice recordings often carry a subtle room resonance or mic self-noise. Filter it out before delivering to clients or ad agencies.

Why TransmuteBox?

TransmuteBox vs. Alternatives

See how we compare to desktop software and other online converters.

Feature	Our Tool TransmuteBox	Desktop DAW	Other Online
Highpass filter (low-freq noise)
Lowpass filter (hiss)
Video file audio cleanup
Format preserved
No software install
Mobile browser support
Free to use

Under the Hood

Technical Specifications

Built on industry-standard open-source tools for maximum quality and reliability.

Limits & Restrictions

Max file size: 500 MB
Filter presets: Highpass, Lowpass, Combined
Output format matches input

FFmpeg Highpass Lowpass Noise Reduction Audio Cleanup

Conversion Engine

FFmpeg 6.x · highpass / lowpass biquad filters · single-pass processing

Output Quality

Filter applied in single FFmpeg pass; output matches input format and quality

Average Speed

Typical filter pass: 5–15 seconds for a 100 MB audio file

Data Security

HTTPS transfer · isolated temp dir · auto-purged in 2 h

Filter Type

Highpass + Lowpass

Target Freq

80–200 Hz / 8–12 kHz

Passes

Single FFmpeg pass

Auto-Delete

2 hours

Complete Guide

Understanding Audio Noise Removal: Filters, Techniques, and Limitations

Background noise is one of the most common problems in audio recordings — whether from HVAC systems, microphone self-noise, electrical interference, or outdoor ambience. Knowing which type of noise you are dealing with, and which filtering approach to apply, is the key to effective noise reduction without damaging the audio you want to keep.

Types of Noise and Their Frequency Profiles

Different noise sources occupy different frequency ranges. Low-frequency noise (below 100–200 Hz): HVAC hum, air conditioning, microphone handling noise, traffic rumble, and 50/60 Hz electrical mains hum. A highpass filter at 80–120 Hz is highly effective at eliminating these without affecting voice intelligibility. High-frequency noise (above 8–12 kHz): tape hiss, electrical interference, recording chain noise, microphone self-noise. A lowpass filter at 10–12 kHz removes this while leaving voice and most musical content intact.

Highpass Filters: Removing Low-Frequency Rumble

A highpass filter (also called a low-cut filter) attenuates frequencies below a set cutoff point while allowing higher frequencies to pass through. For voice recordings, setting the cutoff between 80 and 150 Hz removes most floor noise without affecting the fundamental frequencies of speech (which start around 85–180 Hz for a typical male voice, slightly higher for female voices). For music, use a gentler setting (60–80 Hz) to preserve the lower harmonics of bass instruments.

Lowpass Filters: Eliminating Hiss and Interference

A lowpass filter attenuates frequencies above its cutoff, removing high-frequency noise like tape hiss, analog equipment interference, and recording chain artefacts. For voice-only content, cutting above 8–10 kHz is usually safe — most intelligibility-critical consonants sit below 8 kHz. For music, be more conservative (12–16 kHz) to preserve cymbal brightness, acoustic guitar shimmer, and other high-frequency musical content.

Filter-Based vs Spectral Noise Reduction

Filter-based noise reduction (what this tool uses) applies a consistent frequency cut across the entire file. It is fast, predictable, and effective for broadband or clearly frequency-defined noise. Spectral noise reduction — as used in tools like Adobe Audition's "Noise Reduction" or iZotope RX — is more sophisticated: it analyses a "noise fingerprint" from a silent section and subtracts that noise profile adaptively throughout the file. For severe or complex noise problems, a dedicated spectral tool delivers better results. For common recording noise, frequency filtering is often sufficient and preserves more natural audio character.