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Audio Click Removal

Remove clicks and pops from vinyl recordings

Uses advanced algorithms (adeclick) to detect and remove clicks, pops, and crackle from vinyl recordings and other damaged audio sources.

Click to upload file or drag and drop file here

Maximum file size: 200MB Supported formats: audio/*

Light: minimal artifacts, Normal: good balance, Aggressive: may affect audio quality

Analysis window size. Larger = better detection but slower.

Window overlap percentage. Higher = smoother transitions.

Lower = more sensitive to small clicks, Higher = only removes strong clicks.

Key Facts

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

Overview

The Audio Click Removal tool uses advanced adeclick algorithms to detect and eliminate clicks, pops, and crackle from vinyl recordings and other damaged audio sources, restoring clarity and quality efficiently.

When to Use

  • •When digitizing old vinyl records to remove background noise and preserve audio.
  • •When cleaning up audio files with clicks from equipment handling or recording issues.
  • •When preparing audio for professional use where pristine sound is essential.

How It Works

  • •Upload your audio file in a supported format like MP3, WAV, or FLAC.
  • •Select the removal intensity: Light for minimal artifacts, Normal for balance, or Aggressive for maximum click removal.
  • •Adjust advanced settings such as window size and detection threshold to fine-tune the process.
  • •Choose your preferred output format and download the cleaned audio file.

Use Cases

Restoring vintage vinyl records for digital archiving and listening.
Cleaning up podcast or interview recordings with microphone interference clicks.
Preparing audio samples for music production by removing unwanted noise artifacts.

Examples

1. Restore a Vintage Vinyl Record

Background
A music enthusiast has an old vinyl record with frequent clicks and pops from age and wear.
Problem
Clicks disrupt the listening experience and need removal for a clean digital copy.
How to Use
Upload the audio file, set mode to 'normal' for balanced removal, and output to FLAC for high quality.
Example Config
Mode: normal, Window Size: 55ms, Overlap: 75%, Threshold: 2, Output Format: FLAC
Outcome
The restored audio is free of clicks, preserving original sound quality for digital enjoyment.

2. Clean Up a Podcast Recording

Podcaster
Background
A podcaster recorded an episode with occasional clicks from microphone setup.
Problem
Clicks need removal without affecting voice clarity.
How to Use
Use 'light' mode to minimize artifacts, adjust threshold to 5 for sensitivity, and output to MP3.
Outcome
The podcast audio is clearer with clicks removed, ready for publishing.

Try with Samples

audio, video, file
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 file formats can I upload?

You can upload audio files in formats like MP3, WAV, AAC, M4A, OGG, Opus, and FLAC.

How does the removal intensity affect audio quality?

Light mode preserves audio quality but removes fewer clicks, Normal balances removal and quality, Aggressive removes more clicks but may affect fidelity.

Can I process multiple audio files simultaneously?

No, the tool processes one audio file at a time. Upload each file separately for click removal.

What is the detection threshold used for?

The detection threshold (1-100) controls sensitivity: lower values detect smaller clicks, higher values target only strong clicks.

How long does processing typically take?

Processing time varies based on file size and settings, but it is generally quick for standard audio lengths.

API Documentation

Request Endpoint

POST /en/api/tools/audio-click-removal

Request Parameters

Parameter Name Type Required Description
audioFile file (Upload required) Yes -
mode select No Light: minimal artifacts, Normal: good balance, Aggressive: may affect audio quality
windowSize number No Analysis window size. Larger = better detection but slower.
overlap number No Window overlap percentage. Higher = smoother transitions.
threshold number No Lower = more sensitive to small clicks, Higher = only removes strong clicks.
outputFormat select No -

File type parameters need to be uploaded first via POST /upload/audio-click-removal 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-click-removal": {
      "name": "audio-click-removal",
      "description": "Remove clicks and pops from vinyl recordings",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=audio-click-removal",
      "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]