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Beets

The media library management system for obsessive music geeks, automatically improving metadata and offering extensive manipulation tools.

Quick Info

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Overview

Beets is a comprehensive media library management system specifically designed for users who demand meticulous organization and accurate metadata for their music collections. At its core, Beets catalogs your entire music library, leveraging powerful external databases like MusicBrainz to automatically fetch and improve metadata, ensuring consistency and accuracy across all your tracks and albums. This process includes everything from basic track information to album art, lyrics, genres, and even acoustic fingerprints.

Beyond basic cataloging, Beets offers a rich ecosystem of plugins that extend its functionality dramatically. Users can transcode audio files, detect and remove duplicate tracks, identify missing songs from albums, and even browse their library graphically through a web interface. Its design as a library means it's incredibly flexible, allowing for almost any imaginable manipulation or access method for your music. For those with programming knowledge, writing custom plugins in Python is straightforward, making Beets an endlessly adaptable tool for managing even the most complex music libraries.

Best For

Organizing large and messy digital music collections
Standardizing metadata across an entire music library
Automating the process of adding new music with correct tags and artwork
Converting music files to different formats for various devices
Identifying and cleaning up duplicate or incomplete albums in a collection
Serving a music library via a web interface for playback

Key Features

Automatic metadata fetching and improvement from MusicBrainz, Discogs, Beatport
Plugin-based architecture for extended functionality
Fetching album art, lyrics, genres, tempos, ReplayGain levels, and acoustic fingerprints
Transcoding audio to various formats
Duplicate track and album detection
Identification of missing tracks from albums
Web-based graphical browser for library access and HTML5 audio playback
Guessing metadata from filenames or acoustic fingerprints
Extensible with custom Python plugins

Pros & Cons

Pros

  • Highly customizable and extensible via a rich plugin ecosystem
  • Automated and accurate metadata management using external databases
  • Powerful command-line interface for advanced users and scripting
  • Supports a wide range of metadata types and audio manipulation tasks
  • Open-source and community-driven development
  • Ability to identify and fix common library issues like duplicates or missing tracks

Cons

  • Requires command-line proficiency, which can be a barrier for non-technical users
  • Initial setup and configuration can be complex due to its flexibility
  • Relies on external databases for metadata, which might not always be perfect for obscure music
  • No native graphical user interface (GUI) for core management tasks, though web UI plugins exist
  • Learning curve for understanding its full capabilities and plugin system

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