LUFS Targets for Every Streaming Platform: The 2026 Cheat Sheet

Loudness is the common language of digital music. When your track sounds quieter than everything else in a Spotify playlist, the problem is LUFS. When a podcast host complains about a guest's levels, it's usually a normalization mismatch. This cheat sheet covers every major platform and scenario for 2026.

The universal LUFS target table

What LUFS actually measures

LUFS (Loudness Units relative to Full Scale) is the standard unit of perceived loudness, defined in ITU-R BS.1770. A peak meter shows only the single highest sample; LUFS reflects how loud the track sounds to a listener over its whole length. That's why platforms normalize by LUFS: two tracks with the same peak can differ in perceived loudness by 6 dB or more.

This is also why the old loudness war is over on streaming. A master pushed to −8 LUFS "to stand out" is turned down to the platform level on playback, so it keeps the squashed dynamics and loses the advantage it was made for.

Why the targets differ

Spotify (−14) vs. Apple Music (−16): a 2 dB gap sounds small on paper, but it's roughly a doubling in perceived loudness. Spotify allows slightly louder masters, while Apple Music is more conservative — likely due to its heavily mobile, headphone-first audience, where loudness fatigue matters more.

Streaming (−14) vs. podcasts (−16): spoken-word content prioritizes intelligibility over maximum loudness. A quieter target gives listeners more dynamic range and less ear fatigue over a long episode.

EDM clubs (−9): club sound systems and live events call for maximum energy. −9 LUFS genuinely "wins the loudness war" compared with −14. But it only works on specialized playback systems — on a home stereo, the same master can sound overdriven and fatiguing.

How Magic Master helps

On Magic Master, pick your target platform and the preset sets the right LUFS automatically:

• Choose "Spotify + Pop" → the preset targets −14 LUFS with pop-appropriate dynamics
• Choose "Apple Music + R&B" → −16 LUFS, with compression tuned for R&B vocal characteristics
• Choose "Podcast + Interview" → −16 LUFS, with extra emphasis on speech clarity

After mastering, run the result through the LUFS analyzer to confirm:
- Integrated LUFS lands within the target range (±0.5 dB is normal tolerance)
- True Peak stays at ≤ −1 dBTP
- LRA (dynamic range) sits at 5–12 LU depending on genre

Real-world scenarios

Scenario 1: releasing on every platform at once

Master the track three times:
1. Spotify + Apple Music version (−14 LUFS, True Peak ≤ −1)
2. Podcast version (−16 LUFS, if you have a spoken intro)
3. EDM club version (−9 LUFS), if you're a DJ

Each is a separate export from the same source file. On Magic Master, that's three exports of about a minute each — a few minutes total.

Scenario 2: preparing a track for YouTube

YouTube usually wants −14 LUFS, matching Spotify, but tends to be a bit more forgiving on peaks. Pick "YouTube" in Magic Master, get the master in about a minute, and you're done — True Peak stays ≤ −1 dBTP automatically.

Scenario 3: prepping a podcast with multiple hosts

Two hosts recorded an interview, and one mic runs quieter than the other. Both should land at −16 LUFS before export to Spotify Podcasts or Apple Podcasts. Master each track individually and let the analyzer confirm the exact value for each.

How to check your own tracks

1. Upload your source track to the LUFS analyzer
2. You'll see the current LUFS value (often −8 to −4 if the track hasn't been mastered yet)

3. Check the True Peak (often above 0, which means potential clipping on encoding)

4. Master it on Magic Master for your target platform

5. Pick genre and platform (for example, "Spotify")

6. Get the file back in about a minute

7. Re-upload the result to the analyzer

8. Integrated LUFS should land close to the target (−14 for Spotify)
9. True Peak should be ≤ −1 dBTP
10. If the numbers match, your track is release-ready

Common mistakes

Mistake 1: "I mastered at −8 LUFS to be louder"
Spotify normalizes every track to −14 LUFS, so your track will simply be turned down by roughly 6 dB. You'll lose detail and dynamics for nothing. Don't fight the platform — follow its standard.

Mistake 2: "My analyzer showed −14.5, that's close enough"
Not quite. LUFS is an integrated value computed with a specific K-weighting algorithm; a ±0.5 dB tolerance is fine, but −14.5 might read as −14 on one analyzer and −15 on another. Aim for real precision: −14.0 ± 0.3.

Mistake 3: "I only master for my own setup, platforms don't matter"
If you plan to release on Spotify, Apple Music, or YouTube eventually, platform LUFS targets matter — they're what listeners and recommendation algorithms both expect.

Mistake 4: "I'll fix a harsh AI track by making it louder"
Compression and limiting amplify whatever is already in the file. If a Suno or Udio export sounds glassy or metallic, turning it up just gives you louder harshness. Clean the AI artifacts first, then master to the target.

Tools for checking your work

Use the Magic Master LUFS analyzer — it's fast, free, and built right in.

Pre-release checklist

Before uploading a track to Spotify, Apple Music, or YouTube:

• [ ] Integrated LUFS matches the target (−14 for Spotify, −16 for Apple Podcasts)
• [ ] True Peak ≤ −1 dBTP (verify in the analyzer)
• [ ] Dynamic range (LRA) sits at 5–12 LU (for music)
• [ ] No clipping on the loudest sections
• [ ] Exported as MP3 320 kbps or WAV for final review

If every box is checked, your track is ready.

Wrapping up

LUFS targets aren't suggestions — they're industry standards. Spotify, Apple Music, and YouTube all rely on them for normalization. EDM clubs need −9 for energy. Podcasts need −16 for intelligibility.

On Magic Master, pick your platform, get a result in about a minute, verify it in the analyzer, and you're ready to release — free, no subscription required.

For a deeper dive into LUFS fundamentals, read what LUFS is and why it matters and what True Peak is and how to control it. To compare AI mastering services head to head, see our best AI mastering services of 2026.

If you're mastering a genre-specific track, style presets like pop, EDM, hip-hop, and podcast already bake the right LUFS target and dynamics into each preset.