Media
Remove background noise from audio files using various noise reduction algorithms
Call this tool from your code in three languages.
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/audio-noise-reducer' \
-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-noise-reducer' \
-F 'audioFile=/path/to/file.ext' \
-F 'algorithm=afftdn' \
-F 'noiseReductionLevel=0.5' \
-F 'highpassFreq=80' \
-F 'lowpassFreq=8000' \
-F 'outputFormat=mp3'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-noise-reducer| Name | Type | Required | Description |
|---|---|---|---|
| audioFile | fileupload 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 |
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-noise-reducer": {
"name": "audio-noise-reducer",
"description": "Remove background noise from audio files using various noise reduction algorithms",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=audio-noise-reducer",
"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-noise-reducer",
"arguments": {
"audioFile": "https://example.com/file.ext",
"algorithm": "afftdn",
"noiseReductionLevel": 0.5,
"highpassFreq": "80",
"lowpassFreq": "8000",
"outputFormat": "mp3"
}
}
}| — |
| outputFormat | 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)"
}Questions or issues? Contact [email protected]