All toolsaudio normalization API

Normalize Audio Loudness

Normalize loudness to -14 LUFS streaming, -16 podcast or -23 broadcast targets. Run the preset directly on this page or call the same agent-ready endpoint from your product.

Prefer the shell? Normalize audio loudness with FFmpeg, the verified FFmpeg command for this edit.

LIVE TOOL
Run normalize audio
Drop a video, adjust the defaults if you need to, and download the result here.

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BEFORE / AFTER

See what the tool changes.

A real example: the after side is the unedited output of a KinoPipe job. Run the live form above to generate the same result from your own media.

BeforeUneven loudness
Varying levels
AfterNormalized audio
Ready
Normalized audio48 kHz · stereo
Leveled to −14 LUFS, true peak −1.5 dBTP
−14 LUFS · streaming

Demo footage: public-domain timelapses (Bureau of Land Management, Oregon · NASA SVS). Processed by the same pipeline the API and MCP tools call.

Useful defaults, typed options.

The tool slug stays stable while your agent supplies named media inputs and a narrow set of documented options.

  • Platform-ready loudness
  • True-peak protection
  • Works on video or audio sources
What this preset does
  1. 01Measure loudness with EBU R128
  2. 02Apply the loudnorm filter
  3. 03Limit true peaks
  4. 04Encode MP4 or MP3
Stable endpointPOST /api/v1/tools/normalize-audio
Live API request
{
  "inputs": [{ "id": "main", "url": "https://example.com/video.mp4" }],
  "options": { "target": "streaming" }
}
Successful output example
{
  "result": {
    "output": {
      "filename": "normalize-audio-output.mp4",
      "contentType": "video/mp4",
      "byteSize": 437021,
      "downloadUrl": "https://cdn.kinopipe.com/…"
    }
  }
}

Know the boundaries before you run.

Targets: streaming -14 LUFS, podcast -16, broadcast -23

About normalize audio

Use streaming (-14 LUFS) for YouTube, Spotify and social platforms, podcast (-16) for spoken audio feeds, and broadcast (-23, EBU R128) for TV delivery.

Yes. The video stream is kept as is and only the audio is normalized.

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