Skip to main content

Normalize audio via ffmpeg

Project description

ffmpeg-normalize

PyPI version Docker Image Version GitHub Actions Workflow Status

All Contributors

A utility for batch-normalizing audio using ffmpeg.

This program normalizes media files to a certain loudness level using the EBU R128 loudness normalization procedure. It can also perform RMS-based normalization (where the mean is lifted or attenuated), or peak normalization to a certain target level.

✨ Features

  • EBU R128 loudness normalization — Two-pass by default, with an option for one-pass dynamic normalization
  • RMS-based normalization — Adjust audio to a specific RMS level
  • Peak normalization — Adjust audio to a specific peak level
  • Selective audio stream normalization — Normalize specific audio streams or only default streams
  • Video file support — Process video files while preserving video streams
  • Docker support — Run via Docker container
  • Python API — Use programmatically in your Python projects
  • Shell completions — Available for bash, zsh, and fish
  • Album Batch normalization – Process files jointly, preserving relative loudness

🚀 Quick Start

  1. Install a recent version of ffmpeg
  2. Run pip3 install ffmpeg-normalize and ffmpeg-normalize /path/to/your/file.mp4, alternatively install uv and run uvx ffmpeg-normalize /path/to/your/file.mp4
  3. Done! 🎧 (the normalized file will be called normalized/file.mkv)

🆕 What's New

  • Version 1.36.0 introduces presets with --preset! Save and reuse your favorite normalization configurations for different use cases. Comes with three built-in presets: podcast (AES standard), music (RMS-based batch normalization), and streaming-video (video content). Create custom presets too!

    Example:

    ffmpeg-normalize input.mp3 --preset podcast
    

    applies the podcast preset (EBU R128, -16 LUFS) to your file. Learn more in the presets guide.

  • Version 1.35.0 has batch/album normalization with --batch. It preserves relative loudness between files! Perfect for music albums where you want to shift all tracks by the same amount.

    Example:

    ffmpeg-normalize album/*.flac --batch -nt rms -t -20
    

    shifts the entire album so the average RMS is -20 dB, preserving the original relative loudness as mastered.

  • Version 1.34.0 brings selective audio stream normalization! You can now:

    • Normalize specific audio streams with -as/--audio-streams (e.g., -as 1,2 to normalize only streams 1 and 2)

    • Normalize only default audio streams with --audio-default-only (useful for files with multiple language tracks)

    • Keep other streams unchanged with --keep-other-audio (copy non-selected streams without normalization)

      Example:

      ffmpeg-normalize input.mkv -as 1 --keep-other-audio
      

      normalizes stream 1 and copies all other audio streams unchanged.

Other recent additions:

  • Shell completions (v1.31.0) — Tab completion for bash, zsh, and fish shells. See the installation guide for setup instructions.
  • --lower-only option — Prevent audio from increasing in loudness, only lower it if needed (works with all normalization types).

See the full changelog for all updates.

📓 Documentation

Check out our documentation for more info!

🤝 Contributors

The only reason this project exists in its current form is because @benjaoming's initial PRs. Thanks for everyone's support!

Benjamin Balder Bach
Benjamin Balder Bach

💻
Eleni Lixourioti
Eleni Lixourioti

💻
thenewguy
thenewguy

💻
Anthony Violo
Anthony Violo

💻
Eric Jacobs
Eric Jacobs

💻
kostalski
kostalski

💻
Justin Pearson
Justin Pearson

💻
ad90xa0-aa
ad90xa0-aa

💻
Mathijs
Mathijs

💻
Marc Püls
Marc Püls

💻
Michael V. Battista
Michael V. Battista

💻
WyattBlue
WyattBlue

💻
Jan-Frederik Schmidt
Jan-Frederik Schmidt

💻
mjhalwa
mjhalwa

💻
07416
07416

📖
sian1468
sian1468

⚠️
Panayiotis Savva
Panayiotis Savva

💻
HighMans
HighMans

💻
kanjieater
kanjieater

🤔
Ahmet Sait
Ahmet Sait

💻
georgev93
georgev93

💻
David Bern
David Bern

💻
randompersona1
randompersona1

💻
Add your contributions

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ffmpeg_normalize-1.37.7.tar.gz (34.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ffmpeg_normalize-1.37.7-py3-none-any.whl (41.1 kB view details)

Uploaded Python 3

File details

Details for the file ffmpeg_normalize-1.37.7.tar.gz.

File metadata

  • Download URL: ffmpeg_normalize-1.37.7.tar.gz
  • Upload date:
  • Size: 34.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for ffmpeg_normalize-1.37.7.tar.gz
Algorithm Hash digest
SHA256 f15f42e5ab80beb9afab969e6918c2cbdcb6fdcef09b8ffb61bef774182f8f9b
MD5 27d6fceb6465ddf5d1a41910de779495
BLAKE2b-256 3c2cbce84f4f3a9dc0fb32b72a732ab0883c9a5827b2dbfade67fd231023e789

See more details on using hashes here.

File details

Details for the file ffmpeg_normalize-1.37.7-py3-none-any.whl.

File metadata

File hashes

Hashes for ffmpeg_normalize-1.37.7-py3-none-any.whl
Algorithm Hash digest
SHA256 af895a9ea6baa960e65e233f7402e4b171d835d3577b2d452d2dbf5b0ab9434d
MD5 cd8cca042032aa14db8d5e3ba50aba5e
BLAKE2b-256 2bbb395b4844ad5b73b18d791a95577fb86c1283168d0e18cd3a3d00dd710042

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page