How to Fix Volume Differences Between Spotify Tracks

Why Do Spotify Tracks Play at Different Volumes?#

You are listening to a Spotify playlist when a quiet jazz track finishes and EDM blasts through your speakers at full force. Sound familiar?

Spotify actually has a built-in feature called "loudness normalization" designed to prevent exactly this. But it has real limitations, and it cannot fully equalize volume across all music.

This article explains why volume differences persist on Spotify and what you can do about it.

How Spotify's Loudness Normalization Works#

The Basics#

Spotify measures the loudness of every track and adjusts playback volume to a target of -14 LUFS (Loudness Units Full Scale). LUFS is a measurement unit that accounts for human hearing characteristics, measuring perceived loudness rather than simple peak levels.

Here is how it works:

• Tracks louder than -14 LUFS (e.g., -8 LUFS) are turned down
• Tracks quieter than -14 LUFS (e.g., -18 LUFS) are turned up
• Tracks at exactly -14 LUFS play unchanged

How to Configure It#

1. Open Settings (gear icon)

Navigate to the "Playback" section 3. Toggle "Audio Normalization" on 4. Select volume level: "Loud," "Normal," or "Quiet"

"Normal" corresponds to -14 LUFS and is recommended for most situations.

The Limitations of Loudness Normalization#

Limitation 1: Genre-Based Perceived Loudness Differences#

The biggest weakness of loudness normalization is its inability to fully compensate for the sonic characteristics of different genres.

At the same -14 LUFS, different genres feel dramatically different:

Genre	Characteristics	Perception
EDM	Heavy bass, deep compression	Physically impactful
Classical	Wide dynamic range	Quiet passages feel truly quiet
Pop	Full midrange, moderate compression	Balanced and comfortable
Jazz	Delicate upper mids, rich dynamics	Feels quieter than it measures
Hip Hop	Strong bass, vocals upfront	Assertive presence

Bass-heavy EDM feels "louder" than delicate jazz at the same LUFS value because of how human hearing responds to frequency content. LUFS accounts for this partially, but not completely.

Limitation 2: Dynamic Range Differences#

Classical music with extreme quiet-to-loud contrasts may have its average brought to -14 LUFS, but the quiet passages remain difficult to hear. Meanwhile, heavily compressed EDM maintains constant energy and feels "always loud."

Limitation 3: Analysis Accuracy#

Spotify's server-side loudness analysis occasionally produces inaccurate results, especially with tracks featuring long silence at the beginning or end, extreme fade-ins/outs, live recordings with spoken interludes, or poorly mastered releases.

Limitation 4: Users Who Disable Normalization#

Some audiophiles intentionally turn normalization off, which means they hear each track at its original mastered level, maximizing volume differences between tracks.

When Playlists Make It Worse#

Cross-Genre Playlists#

A "Favorites" playlist mixing classical, EDM, jazz, and hip hop produces the most noticeable volume swings. The perceived loudness gaps between genres are impossible to ignore.

Multi-Era Playlists#

1970s rock and 2020s pop have fundamentally different mastering philosophies. Modern tracks influenced by the "loudness war" are significantly louder than older releases.

Store BGM Use#

When playlists are used as background music in commercial settings (note: Spotify's personal plan prohibits commercial use), per-track volume differences directly harm the customer experience. A sudden loud track is jarring; a quiet one disappears.

The DeckReady Solution#

How DeckReady Goes Beyond Normalization#

DeckReady addresses the volume differences that Spotify's normalization cannot fix by analyzing audio at a deeper level:

1. Frequency-band loudness analysis: Considers low, mid, and high frequency balance separately
2. Dynamic range optimization: Naturally raises overly quiet passages in classical recordings 3. Genre-aware processing: Automatically adjusts based on musical characteristics 4. Flexible LUFS targeting: Set any target loudness to match your use case

Workflow#

1. Prepare your playlist tracks as audio files

Load them into DeckReady 3. Set your target LUFS (e.g., -14 LUFS) 4. Select a preset (Lounge, Club, Podcast, etc.) 5. Run batch processing 6. Replace your playlist with the normalized tracks

Preset Guide#

Use Case	Recommended Preset	Target LUFS
Personal listening	Standard	-14 LUFS
Cafe/lounge BGM	Lounge	-16 LUFS
Fitness gym	Club	-10 LUFS
Podcast insert music	Podcast	-16 LUFS

Other Strategies#

Use Spotify's Built-in EQ#

Spotify's equalizer can reduce perceived differences between genres. Slightly reducing bass and boosting mids narrows the gap between EDM and jazz.

Enable Crossfade#

Setting crossfade to 5-8 seconds smooths sudden volume transitions. This masks the problem rather than solving it, but it helps.

Manual Volume Control#

The most basic approach: adjust volume when tracks change. Not practical while driving or exercising.

Conclusion#

Key takeaways for solving Spotify volume differences:

1. Spotify uses -14 LUFS loudness normalization as its standard
2. Perceived volume differences across genres persist despite normalization 3. Dynamic range variation is another major factor 4. Cross-genre and multi-era playlists are the worst affected 5. DeckReady's frequency-band analysis provides a genuine solution 6. Match presets to your use case for optimal loudness 7. Crossfade and EQ serve as supplementary fixes

Consistent volume means a better listening experience. Give loudness normalization a try.