Lidarr-extended !!exclusive!! Today

docker run -d \ --name=lidarr-extended \ -e PUID=1000 \ -e PGID=1000 \ -e TZ=America/New_York \ -p 8686:8686 \ -v /path/to/data:/config \ -v /path/to/music:/music \ -v /path/to/downloads:/downloads \ --restart unless-stopped \ ghcr.io/hotio/lidarr-extended

: The developers of Lidarr-Extended have focused on optimizing the application's performance, leading to faster search and download operations, as well as reduced memory and CPU usage. lidarr-extended

: Uses Beets to pre-match and tag files with high-quality metadata and cover art. It can also add ReplayGain tags and embedded lyrics to tracks. docker run -d \ --name=lidarr-extended \ -e PUID=1000

Managing a digital music library manually is a tedious chore. While tools like Sonarr and Radarr have perfected automated downloading for TV shows and movies, music presents unique challenges. Albums have multiple releases, metadata is often messy, and high-quality audio files (like FLAC) are harder to track down. Managing a digital music library manually is a tedious chore

: Can automatically discover and add new artists to your library based on "Related Artists" from online streaming services. Enhanced Metadata : Pre-matches and tags files using Beets, adds ReplayGain