Audio Declipper

Repair clipped audio by reconstructing peaks that exceeded the maximum amplitude. Restore distorted audio from overdriven recordings or excessive gain

Click to upload file or drag and drop file here

Maximum file size: 50MB Supported formats: audio/mpeg, audio/wav, audio/flac, audio/aac, audio/ogg, audio/mp4, audio/x-m4a

Key Facts

Category
Images, Audio & Video
Input Types
file, select
Output Type
file
Sample Coverage
4
API Ready
Yes

Overview

The Audio Declipper is a specialized utility designed to repair clipped and distorted audio by reconstructing lost peak amplitudes. Whether your recording suffered from excessive gain, overdriven preamps, or digital clipping, this tool analyzes the waveform to restore natural dynamics and eliminate harsh distortion.

When to Use

  • •When a voice recording or podcast interview has harsh digital clipping due to microphone gain being set too high.
  • •When restoring legacy audio tracks or field recordings that suffer from overdriven analog-to-digital conversion.
  • •When preparing audio files for mixing or mastering where peak distortion is causing unwanted crackle and harshness.

How It Works

  • •Upload your clipped audio file in WAV, MP3, FLAC, AAC, OGG, MP4, or M4A format.
  • •Select your desired Peak Recovery Level and Clipping Detection sensitivity to control how the algorithm reconstructs the clipped peaks.
  • •Choose a Post-Processing normalization level to prevent output clipping and maintain safe headroom.
  • •Process the file to download the restored, declipped audio track.

Use Cases

Restoring clipped podcast vocals recorded with incorrect microphone gain settings.
Repairing overdriven live concert bootlegs or field recordings with sudden volume spikes.
Cleaning up distorted voice memos or interview audio before transcription or editing.

Examples

1. Restoring a Clipped Podcast Interview

Podcast Producer
Background
A guest spoke too close to the microphone, causing the audio to clip heavily during excited moments, resulting in harsh digital distortion.
Problem
The clipped peaks are causing a grating crackle that makes the interview unpleasant to listen to.
How to Use
Upload the WAV recording, set the Peak Recovery Level to 'Balanced', keep Clipping Detection on 'Auto-detect', and select 'Balanced (-3dB headroom)' for Post-Processing.
Example Config
Audio File: interview.wav, Peak Recovery Level: balanced, Clipping Detection: auto, Post-Processing: balanced
Outcome
The harsh digital crackle is eliminated, and the reconstructed peaks sound natural and smooth with safe headroom.

2. Salvaging an Overdriven Field Recording

Sound Designer
Background
During an outdoor recording session, a sudden loud noise overrode the portable recorder's input limit, flattening the peak waveforms.
Problem
The critical sound effect is severely distorted and unusable in its current state.
How to Use
Upload the FLAC file, select 'Maximum' for Peak Recovery Level to ensure high-quality interpolation, set Clipping Detection to 'Conservative' for higher sensitivity, and choose 'Conservative (-6dB headroom)' to leave room for further mixing.
Example Config
Audio File: thunder_sfx.flac, Peak Recovery Level: maximum, Clipping Detection: conservative, Post-Processing: conservative
Outcome
The flattened peaks are successfully reconstructed, restoring the dynamic range of the sound effect without introducing new artifacts.

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 FLAC Audio Samples
Lossless FLAC audio samples for testing and development, mirrored from MP3 set with nature sounds and meditation music
title token audio
audio
Copyright-Free M4A Audio Samples
Apple iTunes compatible M4A audio samples with AAC encoding, optimized for quality and file size balance
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

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FAQ

What audio file formats are supported?

You can upload WAV, MP3, FLAC, AAC, OGG, MP4, and M4A audio files up to 50MB.

How does the declipping algorithm work?

It detects flat-topped waveforms where the signal exceeded the maximum amplitude and uses interpolation to reconstruct the original, rounded peaks.

Which Peak Recovery Level should I choose?

Balanced is recommended for most recordings, while Maximum provides the highest quality reconstruction for severely clipped audio.

Why does the tool offer post-processing normalization?

Reconstructing peaks increases the overall signal level, so normalization (like -3dB headroom) prevents the newly restored peaks from clipping again.

Can this tool fix heavily distorted analog overdrive?

Yes, it can significantly reduce distortion from overdriven preamps, though results depend on the severity of the original signal loss.

API Documentation

Request Endpoint

POST /en/api/tools/audio-declip

Request Parameters

Parameter Name Type Required Description
audioFile file (Upload required) Yes -
recoveryLevel select Yes -
detectionThreshold select Yes -
postNormalize select Yes -

File type parameters need to be uploaded first via POST /upload/audio-declip 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-declip": {
      "name": "audio-declip",
      "description": "Repair clipped audio by reconstructing peaks that exceeded the maximum amplitude. Restore distorted audio from overdriven recordings or excessive gain",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=audio-declip",
      "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]