Media

FFmpeg Audio Noise Reduction

Professional audio noise reduction using FFmpeg advanced filters (highpass, afftdn, loudnorm) for optimal audio cleaning

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/ffmpeg-audio-noise-reduction' \
  -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/ffmpeg-audio-noise-reduction' \
  -F 'audioFile=/path/to/file.ext' \
  -F 'highpassFreq=80' \
  -F 'noiseReductionDb=-25' \
  -F 'outputVolume=1.5' \
  -F 'outputFormat=wav'

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/ffmpeg-audio-noise-reduction

Parameters

Name	Type	Required	Description
audioFile	fileupload required	Yes	—
highpassFreq	range	No	Filter out low-frequency rumble and hum. Higher values remove more bass frequencies.
noiseReductionDb	range	No	Noise floor reduction in decibels. More negative values = stronger reduction. Range: -50dB (max) to -10dB (min).
outputVolume	range	No	Volume amplification after noise reduction. Compensates for volume loss during processing.

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-ffmpeg-audio-noise-reduction": {
      "name": "ffmpeg-audio-noise-reduction",
      "description": "Professional audio noise reduction using FFmpeg advanced filters (highpass, afftdn, loudnorm) for optimal audio cleaning",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=ffmpeg-audio-noise-reduction",
      "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": "ffmpeg-audio-noise-reduction",
    "arguments": {
  "audioFile": "https://example.com/file.ext",
  "highpassFreq": 80,
  "noiseReductionDb": -25,
  "outputVolume": 1.5,
  "outputFormat": "wav"
}
  }
}

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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