How to Master Your Music for Streaming

How to Master Your Music for Spotify, Apple Music, Deezer and YouTube

Once your mix is done, there is one more thing standing between it and a listener’s ears: the streaming platform’s loudness normalisation algorithm.

Every major platform - Spotify, Apple Music, Deezer, YouTube - automatically adjusts the playback volume of tracks to create a consistent listening experience. If your master is louder than their target, they turn it down. If it is quieter, most of them turn it up.

The problem is that each platform uses a slightly different target. And if you do not understand what those targets mean for your master, you can end up with a track that sounds fine on one platform and noticeably different on another - or worse, a track you spent hours making loud that gets turned down anyway, losing all the dynamic character you sacrificed to get there.

Here is what each platform does, why it matters, and how Automix’s mastering tool helps you get it right.

What is LUFS and why does it matter?

LUFS stands for Loudness Units Full Scale. It is the standard measurement that streaming platforms use to assess the perceived loudness of a track - not just how high the peaks get, but how loud the track feels to a listener over time. For a full explainer on how loudness measurement works, see our simple guide to loudness and metering.

The reason this matters for mastering is straightforward: if you push your master to -8 LUFS in the hope it will sound louder than everything else on a playlist, Spotify will simply turn it down to -14 LUFS on playback. You have sacrificed dynamic range and transient energy for nothing. The track will sound more compressed and less powerful than a well-balanced master that the platform does not need to touch. This is the modern reality of the loudness war - a battle that streaming normalisation has largely ended.

The goal is a master that the platform’s algorithm treats as little as possible. That means understanding each platform’s target.

Spotify: -14 LUFS

Spotify normalises to -14 LUFS integrated by default, with a true peak ceiling of -1 dBTP. Tracks louder than -14 LUFS are turned down. Tracks quieter are turned up.

For most genres, mastering to -14 LUFS gives you a track that plays back essentially untouched. It sounds the way you intended it to sound, with dynamics intact. For genres where density and loudness are part of the aesthetic - electronic, hip-hop, commercial pop - mastering slightly hotter at around -11 LUFS is common. Spotify will bring it down, but the additional compression is a creative choice rather than a mistake.

Spotify also offers a “Loud” normalisation mode at -11 LUFS for users who prefer it, which means a -11 LUFS master will play untouched for those listeners. It is worth knowing this option exists.

In Automix, selecting the -14 LUFS target when you master gives you a Spotify-optimised output. The mastering engine handles loudness targeting, true peak limiting, and stereo optimisation in a single pass.

Apple Music: -16 LUFS

Apple Music uses Sound Check to normalise playback to -16 LUFS. This is 2 dB quieter than Spotify’s target and is deliberately more conservative - it gives tracks more headroom and preserves dynamic range.

There is one important difference between Apple and Spotify: Apple Music’s Sound Check only turns tracks down, never up. A track mastered at -14 LUFS will be turned down by 2 dB on Apple Music. A track mastered at -20 LUFS will play back 4 dB quieter than everything else.

This means the practical sweet spot for Apple Music is -16 LUFS - but since most producers are releasing to multiple platforms, mastering at -14 LUFS works perfectly well. Apple will make a minimal 2 dB adjustment, which is inaudible in almost all cases.

RoEx’s mastering outputs are fully compatible with Apple Music’s requirements. The -14 LUFS target option in Automix produces masters that pass Apple’s quality standards cleanly, with no inter-sample peaks or true peak violations. Apple recommends keeping true peak below -1 dBTP, which Automix handles automatically.

Deezer: -15 LUFS

Deezer normalises to -15 LUFS - between Spotify’s -14 and Apple’s -16. Unlike most other platforms, Deezer does not allow users to turn normalisation off. Every listener on Deezer hears a normalised version of your track.

The practical implication is the same as the others: master to -14 LUFS and Deezer will apply a 1 dB reduction, which has no meaningful impact on the listening experience. The dynamic character of the track is preserved and the listener hears something very close to your intended master.

Deezer has grown significantly in France and several other European markets, and if you are releasing music targeting those audiences it is worth knowing your master will be treated consistently and fairly by the platform.

YouTube: -14 LUFS

YouTube normalises to -14 LUFS integrated, matching Spotify’s target. True peak ceiling is -1 dBTP.

There is one difference worth noting: YouTube’s normalisation applies primarily when videos are played in the main feed and recommendations. Some playback contexts - embedded players, certain devices - may behave differently. In practice, mastering to -14 LUFS gives you the most consistent results across YouTube’s various playback environments.

For producers releasing music videos, lyric videos, or visualisers alongside audio releases, YouTube’s loudness target is worth factoring into the mastering decision alongside Spotify. Since both use -14 LUFS, a single master works for both platforms without compromise.

One master works for all four

The practical takeaway here is that you do not need separate masters for each platform. A master targeting -14 LUFS integrated with a true peak ceiling of -1 dBTP will perform well across Spotify, Apple Music, Deezer, and YouTube. Apple will apply a minor 2 dB reduction. Deezer will apply a 1 dB reduction. Spotify and YouTube will leave it essentially untouched.

This is what a well-configured AI mastering tool handles for you. Automix’s mastering engine lets you select your target loudness (-9, -11, or -14 LUFS), applies context-aware EQ, multiband dynamics, stereo refinement and true peak limiting in a single pass, and delivers a streaming-ready master you can preview before paying to download.

Platform targets at a glance

What about reference matching?

If you want your master to match the loudness, tone and dynamics of a specific released track, Automix Pro includes Reference Match. Upload a WAV or MP3 of the track you want to reference and Automix aligns your master’s loudness, tonal profile, stereo image and dynamics to match it - before applying the loudness target you have selected. It is useful when you want to compete directly on a specific playlist or release alongside tracks in a particular sonic space.

Not sure whether you need AI mixing, AI mastering, or both? AI Mixing vs AI Mastering: What’s the Difference? covers the distinction clearly.

Checking your master before release

Before you distribute, upload your finished mix to Mix Check Studio. It analyses your track’s loudness, dynamic range, tonal balance and stereo width, and flags any issues that could affect how it translates across platforms. The analysis is free, takes under a minute, and will catch problems - clipping, phase issues, frequency imbalances - that are easier to fix before release than after.

If you want to understand how your vocals fit into the overall mix before mastering, see our guide on how to mix vocals using AI.

For a broader look at how Automix compares to other AI mastering services, see Best AI Mixing and Mastering Services Compared (2026).

For platforms and developers

If you are building a music distribution platform, a DAW, or any tool that handles audio at scale, the Tonn API gives you programmable access to RoEx’s mastering engine. Specify your target LUFS, receive a streaming-compliant master and a full compliance report covering loudness, true peak and LRA. Available via self-service with volume pricing for high-throughput workflows.