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Beets

Catalog your music collection and automatically improve metadata. Fetch album art, lyrics, and genres, transcode audio, and browse your library graphically.

Get your music collection right once and for all with a media library management system built for obsessive music geeks. This tool catalogs your collection and automatically improves its metadata using comprehensive databases, providing a robust set of features for manipulating and accessing your audio files. Because it is designed as a library, it can handle almost anything you need for your music collection through its extensive plugin ecosystem.\n\nKey benefits include:\n* Automated Metadata: Fetch or calculate all the metadata you need, including album art, lyrics, genres, tempos, and acoustic fingerprints.\n* Multiple Sources: Pull accurate data from platforms like Discogs, Beatport, or Spotify, or guess metadata using filenames.\n* Audio Transcoding: Easily convert your audio files to any format you prefer.\n* Library Maintenance: Automatically check your library for missing tracks or duplicate files.\n* Web Playback: Browse your music graphically through a web browser and play it in any browser that supports HTML5.

Directory Structure

beets
config
downloads
music
.env
docker-compose.yml

docker-compose.yml

services:
  beets:
    image: lscr.io/linuxserver/beets:latest
    container_name: beets
    environment:
      - PUID=1000
      - PGID=1000
      - TZ=Etc/UTC
    volumes:
      - ./config:/config
      - ./music:/music
      - ./downloads:/downloads
    ports:
      - 8337:8337
    restart: unless-stopped

.env

# No sensitive environment variables are required for the default LinuxServer Beets setup.
# Application configuration is handled via the config.yaml file generated in the ./config directory.
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