Reduce noise around speech
Use the AI audio filter for podcast dialogue affected by fan hum, air conditioning, electrical buzz, wind or mic hiss. It identifies the voice and lowers steady background noise without simply muting quiet passages.
AI AUDIO FILTER
Remove background noise from audio
Use this free online MP3 voice filter to reduce background noise in spoken recordings. Add an MP3 or another supported audio file, compare the original with the cleaned voice, then download the result. The AI noise reducer runs in your browser and works best on speech. Recordings up to 5 minutes.
LOCAL AUDIO LAB
Online audio filter workspace
The Audiofilter AI audio filter cleans and enhances in a single pass, entirely on your own machine — the recording never leaves this browser.Max 5 minutesLonger audio is rejected before processing starts — everything runs on your own device, so trim the file and run it in parts.
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Record with your microphone
Record straight into Audiofilter and clean the take on the spot. The audio stays on your device.
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AI model
This is the noise attenuation limit (in dB). It caps the maximum amount of noise reduction to prevent speech distortion caused by over-suppression.
0 (Off)50100 (Max)
Post-processing strength.
0.0 (Off)0.51.0 (Max)
audio.wav
Preparing to decode
Analyzing sound0%
Detecting voice range and background noise…
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Cleaning complete
Your cleaned audio is ready
Original
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Cleaned
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Export format
Files stay on deviceNo account requiredUp to 5 minutesDownload results instantly
Watch the tool in action
A short walkthrough recorded by Audiofilter.
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HEAR IT ON A REAL RECORDING
Before and after, on a recording nobody staged
Not speech with noise mixed under it — an actual room recording, with whatever the room was doing at the time. Nine seconds, twenty-seven gaps between phrases. The gaps are where noise is easiest to hear, so that is where to listen.Before — the recording as it came in
After — through this audio filter
What the numbers say. Between phrases the noise floor drops by about 17 dB. The speech itself comes back 0.5 dB quieter than it went in — which is the point worth checking, because a tool can always fake a clean result by turning everything down, and half a decibel is not that. There is no clean master to compare against here, so the figures are measured between the two clips above, after encoding, rather than against a studio original.
PODCAST AUDIO CLEANUP
How an AI audio filter improves podcast recordings
A clear podcast starts with intelligible dialogue. This browser-based audio filter reduces common recording noise before you edit, mix or publish an episode.Compare before and after
Preview the original and cleaned waveforms on one timeline. Start with Medium, then adjust the audio filter strength if a guest sounds processed or if room noise remains between words.
Prepare a cleaner podcast edit
Download the cleaned result as WAV, MP3 or AAC for your editor. Because this AI audio filter for podcast production runs locally, raw interviews and unreleased episodes never leave your device.
WHAT IT TAKES OUT
The background noise it removes
Steady, repetitive noise sitting behind speech is what this class of model handles best, and what the Audiofilter audio filter is built around.- Air conditioning & HVACSteady low rumble, vents and ducted hum in offices and studios.
- Computer fans & drive whineLaptop fans spinning up, desktop cases and hard drive noise.
- Electrical hum & buzz50/60 Hz mains hum, ground loops and cheap interface buzz.
- Wind & handling noiseOutdoor wind on the capsule, cable rustle and mic handling.
- Keyboard & desk tapsTyping, mouse clicks and knocks travelling through the desk.
- Street & trafficPassing cars, distant construction and general city noise.
- Hiss & staticTape hiss, preamp noise and the static floor of a cheap mic.
- Room tone & chatterThe empty sound of a room and indistinct talking behind the speaker.
It is a speech cleanup tool, not a restoration suite: it will not remove echo or room reverb, separate two people talking over each other, or split music into stems.
WHAT IS UNDER THE HOOD
Built on DeepFilterNet3
The noise suppression here is DeepFilterNet3, a low-latency speech enhancement model with 48 kHz full-band processing.It is compiled to WebAssembly and runs on your own device — which is what makes noise suppression of this class possible in a browser tab rather than behind an upload form. Nothing about your recording is sent anywhere.
DeepFilterNet is open source under the MIT and Apache-2.0 licences, © 2021 Hendrik Schröter. Both licence texts ship alongside the engine on this site.
QUESTIONS & ANSWERS
Frequently asked questions
Is this noise reducer free to use?
Yes. Audiofilter asks for no account, no sign-up and adds no watermark. The tool is a static web page, so you can clean as many recordings as your device can handle.
Are my audio files uploaded to a server?
No. Decoding, AI inference and export all happen inside your browser through Web Audio and WebAssembly. Audiofilter never sends your audio anywhere, and the data is released the moment you close or reload the tab.
Which audio formats are supported?
You can load any format your browser can decode, including MP3, WAV, FLAC, M4A, AAC and OGG. Cleaned audio can be exported as PCM WAV, MP3 or AAC.
Is there a length or file size limit?
Audio must be 5 minutes or shorter, and under 300 MB. Anything longer is rejected before processing starts: everything runs on your own CPU and memory, and a long file would exhaust the browser tab. Trim the recording and clean it in parts.
What do the Fine-tune and Post-filter Beta controls do?
Fine-tune sets the noise attenuation limit in decibels. It caps how much noise the model may remove so that over-suppression does not distort speech. Post-filter Beta controls how strongly the post-processing stage is applied after the model runs.
What kind of noise can it remove?
It targets background noise around speech: air conditioning and fan hum, electrical buzz, wind, room tone, desk vibration and keyboard clicks. It is a speech cleanup tool, not a stem splitter, so it will not separate overlapping speakers or extract vocals from music.
Can it remove echo or room reverb?
No. This is a noise remover, not a de-reverb tool. It suppresses noise sitting behind the voice, but echo and room reverb are copies of the voice itself, so the model cannot separate them out. Recording closer to the microphone, or in a smaller and softer room, is what fixes reverb.
Can I use this AI audio filter for podcast, Zoom or Teams recordings?
Yes. This AI audio filter for podcast and remote interview recordings accepts MP3, WAV, M4A and other formats your browser can decode. Drop in the recording, choose a reduction level and download the cleaned track. It is useful for laptop fan noise, air conditioning, hum and hiss around spoken dialogue.
Will it make my voice sound robotic or underwater?
That is what over-suppression sounds like, and the Fine-tune control exists to prevent it. It caps how many decibels of noise the model may remove, so you can back the reduction off until the voice sounds natural again. Start with Medium and lower Fine-tune if you hear artefacts.
Does it work offline?
After the first visit, yes in practice. The AI model is fetched once and reused from the browser cache, and no step of the cleanup contacts a server, so a cached tab keeps working without a connection.
Which browsers and devices work?
Any recent desktop or mobile browser with WebAssembly support, such as Chrome, Edge, Firefox or Safari. The AI model is fetched once and then reused from the browser cache.
Need to split a song into vocals and instrumental, or turn written text into speech?
Open the vocal remover → Open text to speech →