# How to Master an AI-Generated Song for YouTube

> YouTube has its own loudness normalisation and its own quirks around Content ID and audio processing. Here's how to master an AI-generated track specifically for it.

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# How to Master an AI-Generated Song for YouTube

Published 8 September 2026, 04:00 UTC · updated 31 August 2026, 13:05 UTC · by Loopin

YouTube normalises audio loudness like Spotify does, but with its own target and its own quirks — and video re-encoding adds a layer that pure audio platforms don't have.

## Know YouTube's approximate loudness target

YouTube normalises around −14 LUFS, similar to Spotify, though the exact figure and implementation has shifted over time as the platform updates its audio handling. Master to that same −14 LUFS integrated target you'd use for any streaming release rather than assuming YouTube needs something different.

This means the same master you'd prepare for Spotify generally works for a YouTube upload too, without needing a separate mastering pass specifically for video.

## Account for video encoding on top of audio

If your track is going up as part of a video, the video encoding and compression process can subtly affect perceived audio quality beyond what happens to a pure audio file. Keep true peak at −1 dBTP as usual, giving the encoding pipeline clean material with headroom to work with.

Export the highest quality audio your video editing software allows before final render, rather than working with an already-compressed audio file throughout the editing process.

## Consider a louder reference for short-form content

If the track is destined for YouTube Shorts specifically, treat it more like a TikTok-style short clip — the opening moment matters disproportionately, and phone-speaker playback is the dominant listening context, similar to other short-form platforms.

A standard long-form YouTube video with a full song doesn't need this same short-form treatment; master it like any other streaming release.

## Watch for Content ID complications with AI-generated content

AI music generation platforms' policies on content ownership and Content ID registration have been evolving, and it's worth confirming your specific platform's current terms before uploading, since this is a rapidly changing area separate from mastering itself.

This isn't a mastering concern technically, but it's worth checking before investing time mastering and uploading a track that could face a claim or takedown for reasons unrelated to audio quality.

## Test the actual uploaded result

After uploading, listen to the live YouTube version at a normal volume and compare it against your original master. If it sounds noticeably different — thinner, quieter, or distorted — the issue is likely in how the video was encoded rather than the original master itself, and re-exporting the video at a higher audio bitrate is worth trying.

This check catches problems that only appear after the platform's own processing, which no amount of pre-upload mastering can predict perfectly.

## Frequently asked questions

### What LUFS should I master an AI-generated song for YouTube?

Around -14 LUFS integrated, similar to Spotify's target. The same master prepared for streaming release generally works for a YouTube upload without needing a separate pass.

### Does video encoding affect audio quality on YouTube?

It can, subtly. Keep true peak at -1 dBTP for headroom and export the highest quality audio your video editor allows before final render, rather than working with already-compressed audio throughout editing.

### Should I master differently for YouTube Shorts than a regular upload?

Yes, treat Shorts more like TikTok-style short-form content -- the opening moment and phone-speaker playback matter disproportionately. A standard long-form video doesn't need this same treatment.

## Related reads

- [Master your track free](/mastering)
- [How to master Suno tracks for TikTok](/blog/master-suno-tracks-for-tiktok)
- [What is LUFS?](/mastering/what-is-lufs)

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Source: https://onloopin.com/blog/master-an-ai-song-for-youtube