Media
Remove crackles and subtle impulsive noise from audio files. Ideal for restoring old recordings, cassette tapes, and digitized vinyl with surface noise
Call this tool from your code in three languages.
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/audio-decrackle' \
-H 'Content-Type: application/json' \
-d '{"filename":"audioFile.ext","contentType":"application/octet-stream","size":12345}'
# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
--data-binary @/path/to/file.ext
# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/en/api/tools/audio-decrackle' \
-F 'audioFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
-F 'intensity=medium' \
-F 'noiseProfile=moderate' \
-F 'smoothness=light'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/audio-decrackle| Name | Type | Required | Description |
|---|---|---|---|
| audioFile | fileupload required | Yes | — |
| intensity | select | Yes | — |
| noiseProfile | select | Yes | — |
| smoothness | select | Yes | — |
File result
{
"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)"
}Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"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"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"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"
}
}
}Questions or issues? Contact [email protected]