Normalize Audio
Bring video audio to a consistent broadcast-standard loudness level using EBU R128 two-pass normalization. This fixes clips that are too quiet or painfully loud without clipping. SnapOtter processes everything on your own server, keeping your media private.
Features
- EBU R128 two-pass loudness normalization to broadcast standard (-14 LUFS)
- Prevents clipping by applying true-peak limiting during normalization
- Leaves the video stream untouched while only re-encoding the audio
- Supports MP4, WebM, MOV, and MKV containers
- Runs on your own infrastructure with no third-party audio processing
What you can do
- Equalize volume across interview clips recorded with different microphones before editing
- Prepare podcast video episodes so listeners do not need to adjust volume between segments
- Normalize corporate training videos so narration is audible over background noise
- Fix user-submitted event recordings that have wildly inconsistent audio levels
Self-hosted. Your files never leave your network.
SnapOtter runs entirely on your own infrastructure. Files processed with Normalize Audio are never uploaded to third-party servers. Deploy a single Docker container and process files with full privacy, no watermarks, and no usage limits. Open source under AGPL-3.0.
Frequently asked questions
- What loudness standard does this use?
- SnapOtter normalizes to EBU R128 at -14 LUFS, the broadcast standard used by YouTube, Spotify, and major streaming platforms. The two-pass approach measures loudness first, then adjusts precisely. Everything runs locally on your server.
- Does normalization affect video quality?
- No. Only the audio track is re-encoded. The video stream is copied bit-for-bit, so there is zero quality loss on the visual side. All processing stays on your own hardware.
- Can I normalize multiple clips at once?
- Yes, SnapOtter supports batch processing. Upload multiple video files and each will be normalized independently to the target loudness. Files remain on your server throughout the process.
Ready to try Normalize Audio?
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