Media

Audio Decrackler

Remove crackles and subtle impulsive noise from audio files. Ideal for restoring old recordings, cassette tapes, and digitized vinyl with surface noise

file· File resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL

# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/audio-decrackle' \
  -F 'file=@/path/to/audioFile.ext'

# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/en/api/tools/audio-decrackle' \
  -F 'audioFile=/path/to/file.ext' \
  -F 'intensity=medium' \
  -F 'noiseProfile=moderate' \
  -F 'smoothness=light'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP

POST https://api.elysiatools.com/en/api/tools/audio-decrackle

Parameters

Name	Type	Required	Description
audioFile	fileupload required	Yes	—
intensity	select	Yes	—
noiseProfile	select	Yes	—
smoothness	select	Yes	—

File-type parameters must be uploaded first via POST /upload/audio-decrackle, then the returned filePath is passed to the corresponding file field.

Response format

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json

{
  "mcpServers": {
    "elysiatools-audio-decrackle": {
      "name": "audio-decrackle",
      "description": "Remove crackles and subtle impulsive noise from audio files. Ideal for restoring old recordings, cassette tapes, and digitized vinyl with surface noise",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=audio-decrackle",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "audio-decrackle",
    "arguments": {
  "audioFile": "https://example.com/file.ext",
  "intensity": "medium",
  "noiseProfile": "moderate",
  "smoothness": "light"
}
  }
}

Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).

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