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MusicBrainz Picard audio file tagger

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:tangerine: Clementine Music Player

Quick Overview

MusicBrainz Picard is an open-source cross-platform music tagger. It allows users to automatically identify and tag audio files with metadata from the MusicBrainz database. Picard supports various audio formats and can retrieve album art, lyrics, and other related information.

Pros

  • Cross-platform compatibility (Windows, macOS, Linux)
  • Extensive plugin system for customization and additional features
  • Supports a wide range of audio formats
  • Integrates with the comprehensive MusicBrainz database

Cons

  • Learning curve for new users due to its powerful but complex interface
  • Occasional slowdowns when processing large music libraries
  • Relies on internet connectivity for optimal functionality
  • Some users report inconsistencies in automatic tagging for less common music

Code Examples

As MusicBrainz Picard is primarily a desktop application and not a code library, there are no direct code examples to provide. However, Picard does support scripting and plugins, which can be written in Python. Here's a simple example of a Picard plugin:

PLUGIN_NAME = "Example Plugin"
PLUGIN_AUTHOR = "Your Name"
PLUGIN_DESCRIPTION = "A simple example plugin"

from picard.plugin import PluginPriority

def process_metadata(album, metadata, release):
    metadata['example_tag'] = 'Hello from the example plugin!'

from picard.plugin import PluginPriority, register_album_metadata_processor
register_album_metadata_processor(process_metadata, priority=PluginPriority.LOW)

This plugin adds a custom tag to the metadata of processed albums.

Getting Started

To get started with MusicBrainz Picard:

  1. Download the appropriate installer for your operating system from the official website.
  2. Install and launch Picard.
  3. Add your music files or folders to Picard.
  4. Click on a file or album and use the "Lookup" feature to match it with MusicBrainz database entries.
  5. Review and apply the tags.
  6. Save the changes to your files.

For more detailed instructions and advanced features, refer to the official documentation.

Competitor Comparisons

Music player and music library manager for Linux, Windows, and macOS

Pros of Quodlibet

  • More extensive plugin system, allowing for greater customization
  • Supports a wider range of audio formats
  • Includes a built-in music player with advanced playback features

Cons of Quodlibet

  • Less focused on metadata editing compared to Picard
  • May have a steeper learning curve for new users
  • Slower development cycle and less frequent updates

Code Comparison

Picard (Python):

def move_files(self, sources, target):
    for source in sources:
        destination = os.path.join(target, os.path.basename(source))
        shutil.move(source, destination)

Quodlibet (Python):

def move_songs(self, songs, target):
    for song in songs:
        new_path = os.path.join(target, song("~basename"))
        song.rename(new_path)

Both projects use Python and have similar approaches to file operations. Picard's code is more focused on general file movement, while Quodlibet's is specifically tailored for song files with metadata handling.

Picard is primarily designed for audio file tagging and metadata management, with a user-friendly interface for batch editing. Quodlibet, on the other hand, is a more comprehensive music management and playback application with additional features like library organization and advanced search capabilities.

12,827

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Pros of Beets

  • More flexible and extensible with a plugin system
  • Command-line interface allows for easier automation and scripting
  • Supports a wider range of audio formats and metadata sources

Cons of Beets

  • Steeper learning curve, especially for non-technical users
  • Less user-friendly for those who prefer graphical interfaces
  • May require more manual configuration for optimal results

Code Comparison

Beets (Python):

from beets.plugins import BeetsPlugin

class MyPlugin(BeetsPlugin):
    def commands(self):
        return [MyCommand()]

Picard (Python):

from picard.plugin import PluginPriority, PluginType, register_plugin

PLUGIN_NAME = "My Plugin"
PLUGIN_AUTHOR = "Your Name"
PLUGIN_VERSION = "0.1"
PLUGIN_API_VERSIONS = ["2.0"]
PLUGIN_LICENSE = "GPL-2.0-or-later"
PLUGIN_DESCRIPTION = "Description of your plugin"

class MyPlugin:
    def __init__(self):
        pass

Both projects use Python, but Beets has a simpler plugin structure, while Picard requires more boilerplate code for plugin registration.

:tangerine: Clementine Music Player

Pros of Clementine

  • Full-featured music player with library management, playlists, and internet radio
  • Cross-platform support (Windows, macOS, Linux)
  • More extensive UI with visualizations and lyrics display

Cons of Clementine

  • Larger codebase, potentially more complex to maintain
  • Less focused on audio tagging and metadata management
  • May have a steeper learning curve for new users

Code Comparison

Picard (Python):

def move_files(self, sources, target):
    for source in sources:
        filename = os.path.basename(source)
        new_path = os.path.join(target, filename)
        move_file(source, new_path)

Clementine (C++):

void LibraryWatcher::AddDirectory(const QString& path) {
  QFileInfo info(path);
  if (!info.exists() || !info.isReadable())
    return;

  QDir dir(path);
  dir.setFilter(QDir::Dirs | QDir::Files | QDir::NoDotAndDotDot);
  QFileInfoList list = dir.entryInfoList();
  for (const QFileInfo& file : list) {
    if (file.isDir())
      AddDirectory(file.filePath());
    else
      AddFile(file);
  }
}

The code snippets show different approaches to file handling. Picard's Python code is more concise, focusing on moving files, while Clementine's C++ code demonstrates recursive directory scanning for library management.

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README

MusicBrainz Picard

Github Actions Status Codacy Grade

MusicBrainz Picard is a cross-platform (Linux, macOS, Windows) audio tagging application. It is the official MusicBrainz tagger.

Picard supports the majority of audio file formats, is capable of using audio fingerprints (AcoustIDs), performing CD lookups and disc ID submissions, and it has excellent Unicode support. Additionally, there are several plugins available that extend Picard's features.

When tagging files, Picard uses an album-oriented approach. This approach allows it to utilize the MusicBrainz data as effectively as possible and correctly tag your music. For more information, see the illustrated quick start guide to tagging and the documentation.

Features

  • Multiple formats: Picard supports all popular music formats, including MP3, FLAC, OGG, M4A, WMA, WAV, and more.
  • AcoustID: Picard uses AcoustID audio fingerprints, allowing files to be identified by the actual music, even if they have no metadata.
  • Comprehensive database: Picard uses the open and community-maintained MusicBrainz database to provide accurate information about millions of music releases.
  • CD lookups: Picard can lookup entire music CDs with a click.
  • Plugin support: If you need a particular feature, you can choose from a selection of available plugins or write your own.
  • Scripting: A flexible and powerful, yet easy to learn, scripting language allows you to exactly specify how your music files will be named and how the tags will look like.
  • Cover Art: Picard can find and download the correct cover art for your albums.
  • Open Source: Picard is licensed under the GNU General Public License 2.0 or later, and is hosted on GitHub where it is actively developed.

Installation

Binary downloads are available on the Picard download page.

INSTALL.md has instructions on building this codebase.

Support and issue reporting

Please report all bugs and feature requests in the MusicBrainz issue tracker. If you need support in using Picard please read the documentation first and have a look at the MusicBrainz community forums.

Trivia

Picard is named after Captain Jean-Luc Picard from the TV series Star Trek: The Next Generation.