Audio Noise Reducer

Audio Noise Reducer | Online Free Tool | Elysia Tools

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category: Media
Input types: file, select, range
Output type: file
Sample coverage: 4
API ready: Yes

Overview

Audio Noise Reducer removes background noise such as hiss, hum, and unwanted high- or low-frequency sound from supported audio files. Upload an audio file, choose a reduction algorithm and strength, then download the cleaned result in MP3, WAV, FLAC, AAC, OGG, or M4A format.

When to use

Clean speech recordings affected by background hiss or room noise.
Reduce low-frequency hum in interviews, voice notes, or recorded presentations.
Lower high-frequency noise in audio before exporting it in your preferred format.

How it works

1Upload one supported audio file, such as MP3, WAV, FLAC, AAC, OGG, MP4, or M4A.
2Choose a noise reduction algorithm, including FFT Denoiser, high-pass, low-pass, combined, mild, or aggressive reduction.
3Adjust the noise reduction level from 0.1 for light reduction to 1.0 for maximum reduction.
4Select an output format and generate the processed audio file.

Use cases

Cleaning interview recordings with background hiss or room noise.
Reducing electrical hum in voice notes and presentation recordings.
Preparing noisy audio for export as a compact or lossless file.

Examples

1. Reduce hum in an interview recording

Podcast editor

Background

An interview recording contains a noticeable low-frequency hum beneath the speaker's voice.

Problem

The hum distracts from the conversation and needs to be reduced without using a broad high-frequency filter.

How to use

Upload the interview audio, select High-Pass Filter, choose 60 Hz or 80 Hz, set a moderate noise reduction level, and select WAV as the output format.

Algorithm: High-Pass Filter; High-Pass Frequency: 80 Hz; Noise Reduction Level: 0.5; Output Format: WAV

Outcome

The exported WAV file has reduced low-frequency background hum.

2. Clean hiss from a voice note

Content creator

Background

A voice note recorded with a phone includes steady high-frequency hiss.

Problem

The hiss makes the spoken audio sound less clear in the final recording.

How to use

Upload the audio file, choose FFT Denoiser, set the reduction level around 0.5, and export the result as M4A.

FAQ

What audio files can I upload?

You can upload MPEG, WAV, FLAC, AAC, ADTS, OGG, MP4, or M4A audio files.

Which noise reduction algorithm should I choose?

FFT Denoiser is the recommended general-purpose option. Use high-pass for low-frequency noise, low-pass for high-frequency noise, or Combined for both.

What does the noise reduction level control?

It controls the reduction strength from 0.1, light reduction, to 1.0, maximum reduction. Higher values may remove more audio details.

Can I target low-frequency hum?

Yes. Select the High-Pass Filter or Combined algorithm and choose a high-pass frequency such as 60 Hz or 80 Hz.

Which output formats are available?

You can export the processed audio as MP3, WAV, FLAC, AAC, OGG, or M4A.

Algorithm: FFT Denoiser (Recommended); Noise Reduction Level: 0.5; Output Format: M4A

3. Apply stronger reduction to noisy audio

Audio archivist

Background

An older recording contains both low-frequency rumble and high-frequency background noise.

Problem

A single frequency filter does not address both types of unwanted sound.

How to use

Upload the recording, select Combined, choose a higher reduction level such as 0.8, and export it as FLAC.

Algorithm: Combined (High + Denoise + Low); Noise Reduction Level: 0.8; High-Pass Frequency: 80 Hz; Low-Pass Frequency: 8000 Hz; Output Format: FLAC

Outcome

The exported FLAC file has reduced low- and high-frequency background noise.

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Examples that match this tool

Continue with connected tools and hubs

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Overview

When to use

How it works

Use cases

Examples

1. Reduce hum in an interview recording

2. Clean hiss from a voice note

FAQ

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3. Apply stronger reduction to noisy audio