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Description
Picard is compatible with a wide range of music formats such as MP3, FLAC, OGG, M4A, WMA, and WAV, among others. Leveraging the open-source MusicBrainz database, Picard delivers precise details on countless music releases. It incorporates AcoustID audio fingerprints to identify tracks based solely on the music itself, even in the absence of metadata. Additionally, Picard is capable of locating and downloading the appropriate cover art for your albums. With a flexible yet user-friendly scripting language, you can customize the naming of your music files and the appearance of their tags to suit your preferences. For those seeking specific functionalities, there is a diverse array of plugins available, or you have the option to create your own tailored solutions. This adaptability makes Picard a powerful tool for music organization and management.
Description
Beets serves as a comprehensive media library management system tailored for dedicated music enthusiasts, functioning as an adaptable automatic metadata corrector and file renamer, while also acting as a batch transcoder for audio files. This tool simplifies the inspection and modification of music metadata across a wide range of audio file formats and is compatible with MPD as a music player. The ultimate goal of beets is to ensure that your music collection is perfectly organized and optimized. It meticulously catalogs your library, enhancing its metadata through integration with the MusicBrainz database. Additionally, it offers a variety of features for managing and accessing your music, allowing for extensive customization. Designed with library functionality in mind, beets can perform nearly any task you can envision for your collection. Through its plugin architecture, beets evolve into a versatile solution, enabling users to obtain or compute an extensive array of metadata, including album art, lyrics, genres, tempos, ReplayGain levels, and acoustic fingerprints. Users can retrieve metadata from sources such as MusicBrainz, Discogs, or Beatport, or derive it by analyzing song filenames or utilizing their acoustic fingerprints. Moreover, this flexibility allows users to maintain a pristine and well-organized music library that evolves alongside their listening preferences.
API Access
Has API
API Access
Has API
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Picard
Website
picard.musicbrainz.org
Vendor Details
Company Name
beets
Country
United States
Website
beets.io