Volume Normalizer

How to Normalize Podcast Audio

Consistent episode loudness keeps listeners. Here's how to hit the right LUFS target for every podcast platform.

Why Podcast Loudness Matters

Listeners judge podcast quality by audio consistency. If episode 12 is noticeably quieter than episode 11, people reach for the volume knob — and some just unsubscribe. Platforms have loudness targets: • Apple Podcasts: -16 LUFS • Spotify: -14 LUFS • Most podcast apps: -16 LUFS Normalizing every episode to a consistent target level solves this. It takes seconds and eliminates the number one amateur podcast tell.

Step by Step: Normalize a Podcast Episode

1. Open cut.audio's Volume Normalizer 2. Drop your final edited episode file 3. Select -16 LUFS (for Apple Podcasts) or -14 LUFS (for Spotify) 4. Click Normalize 5. Check the result — the tool shows your original LUFS and the applied gain 6. Export as MP3 (standard for podcasts) or WAV if you need lossless Do this as the last step in your workflow, after editing and mixing.

Normalization vs. Compression vs. Limiting

These are different tools: • Normalization adjusts overall volume to hit a target — simple, transparent, doesn't change dynamics • Compression reduces the difference between loud and quiet parts — makes speech more even but changes the sound • Limiting is aggressive compression that prevents peaks from exceeding a ceiling For podcasts, normalization alone is often enough. If you have big volume differences between speakers, apply compression first in your DAW, then normalize as the final step.

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Frequently Asked Questions

-16 LUFS is safer. Apple Podcasts targets -16, and Spotify will turn down anything louder than -14. At -16, your podcast sounds good everywhere without being turned down on any platform.

After. Normalize as the very last step. If you normalize first and then edit (adding music, removing sections), the loudness changes and you'd need to normalize again.

Normalization adjusts the overall level — it won't fix imbalanced speakers. If one speaker is much louder than another, balance them in your editor first, then normalize the mixed result.