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Audio Noise Reducer

Remove background noise from audio files using various noise reduction algorithms

Click to upload file or drag and drop file here

Maximum file size: 10MB Supported formats: audio/mpeg, audio/wav, audio/flac, audio/aac, audio/ogg, audio/mp4, audio/x-m4a

0.1 0.5 1

0.1 = light reduction, 1.0 = maximum reduction. Higher values may remove more audio details.

Key Facts

Category
Media
Input Types
file, select, range
Output Type
file
Sample Coverage
4
API Ready
Yes

Overview

The Audio Noise Reducer is a professional-grade utility designed to clean up your audio files by removing unwanted background noise, hiss, and hum using advanced filtering algorithms.

When to Use

  • •Removing constant background hum or static from voice recordings.
  • •Cleaning up low-frequency rumble or high-frequency interference in audio tracks.
  • •Enhancing the clarity of speech in recordings made in noisy environments.

How It Works

  • •Upload your audio file in a supported format like MP3, WAV, or FLAC.
  • •Select a noise reduction algorithm such as FFT Denoiser or specific high/low-pass filters.
  • •Adjust the reduction level and frequency thresholds to fine-tune the output.
  • •Download your cleaned audio file in your preferred format.

Use Cases

Improving the quality of podcast recordings captured in non-studio environments.
Restoring old audio files that contain significant background hiss or static.
Cleaning up voice memos or interviews recorded with mobile devices.

Examples

1. Cleaning a Podcast Interview

Podcast Editor
Background
A recorded interview contains a persistent low-frequency hum from an air conditioner.
Problem
The background hum distracts from the speaker's voice.
How to Use
Upload the interview file, select the 'High-Pass Filter' algorithm, and set the frequency to 80 Hz.
Example Config
algorithm: highpass, highpassFreq: 80
Outcome
The low-frequency hum is removed, leaving the voice recording clear and professional.

2. Restoring a Voice Memo

Student
Background
A lecture recording has significant high-frequency static due to poor microphone quality.
Problem
The static makes it difficult to transcribe the lecture notes.
How to Use
Upload the recording, choose the 'FFT Denoiser' algorithm, and set the reduction level to 0.7.
Example Config
algorithm: afftdn, noiseReductionLevel: 0.7
Outcome
The static is significantly reduced, making the lecture audio much easier to understand.

Try with Samples

audio, video, barcode
Copyright-Free AAC Audio Samples
High-quality AAC encoded audio samples for testing and development, featuring nature sounds and meditation music with excellent compression
title token audio
audio
Copyright-Free MP3 Audio Samples
Collection of royalty-free audio samples for testing and development purposes including nature sounds, meditation music, and ambient audio
title token audio
audio
Copyright-Free WAV Audio Samples
Uncompressed PCM WAV audio samples for testing and development, mirrored from MP3 set with nature sounds and meditation music
title token audio
audio
Copyright-Free OGG Vorbis Audio Samples
Open-source OGG Vorbis audio samples for testing and development, featuring excellent compression with nature sounds and meditation music
title token audio
audio

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FAQ

What audio formats are supported?

The tool supports MP3, WAV, FLAC, AAC, OGG, and M4A formats.

Which algorithm should I choose?

The FFT Denoiser is recommended for most general noise reduction tasks.

Can I remove high-frequency noise?

Yes, you can use the Low-Pass Filter to reduce high-frequency hiss or interference.

Will high reduction levels affect audio quality?

Yes, higher noise reduction levels may remove some audio details, so it is best to adjust the slider incrementally.

Is there a file size limit?

Yes, the maximum file size for processing is 10 MB.

API Documentation

Request Endpoint

POST /en/api/tools/audio-noise-reducer

Request Parameters

Parameter Name Type Required Description
audioFile file (Upload required) Yes -
algorithm select Yes -
noiseReductionLevel range No 0.1 = light reduction, 1.0 = maximum reduction. Higher values may remove more audio details.
highpassFreq select No -
lowpassFreq select No -
outputFormat select Yes -

File type parameters need to be uploaded first via POST /upload/audio-noise-reducer to get filePath, then pass filePath to the corresponding file field.

Response Format

{
  "filePath": "/public/processing/randomid.ext",
  "fileName": "output.ext",
  "contentType": "application/octet-stream",
  "size": 1024,
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
File: File

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-audio-noise-reducer": {
      "name": "audio-noise-reducer",
      "description": "Remove background noise from audio files using various noise reduction algorithms",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=audio-noise-reducer",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

Supports URL file links or Base64 encoding for file parameters.

If you encounter any issues, please contact us at [email protected]