Easily organize and tag your music library with MusicBrainz Picard.
MusicBrainz Picard is a versatile tool for automatically identifying and tagging music files in your library, ensuring a clean and organized collection.
MusicBrainz Picard is a versatile music tagger software application developed by MetaBrainz. This tool is designed to help users manage and organize their digital music collections by automatically identifying, tagging, and organizing music files based on acoustic fingerprints and metadata from the MusicBrainz database.
One of the key features of MusicBrainz Picard is its advanced acoustic fingerprinting technology, which allows the software to identify music tracks through unique audio signatures. By analyzing audio patterns, Picard can accurately match music files with entries in the extensive MusicBrainz database, ensuring correct identification and tagging of songs.
MusicBrainz Picard simplifies the process of organizing music files by automatically tagging tracks with accurate metadata such as artist name, album title, track number, genre, and release year. Users can rely on Picard to standardize metadata across their music library, resulting in a more consistent and well-organized collection.
The software offers a user-friendly interface that makes it easy for users to manage their music files efficiently. Users can drag and drop individual tracks or entire folders into Picard for automatic tagging, or manually edit metadata for precise customization. The intuitive layout and simple workflow contribute to a seamless music organization experience.
Users can leverage MusicBrainz Picard's dynamic tagging capabilities to clean up existing music libraries, correct mislabeled tracks, and fill missing metadata fields. This feature helps users maintain a neat and organized music collection while ensuring accurate information for each song in their library.
MusicBrainz Picard supports a wide range of audio formats, including MP3, FLAC, OGG, WAV, and more, making it a versatile tool for managing diverse music libraries. Whether users have a small selection of songs or an extensive collection spanning multiple genres, Picard offers comprehensive tagging and organization solutions.
MusicBrainz Picard is a powerful yet easy-to-use music tagger application that simplifies the process of managing digital music libraries. With its advanced acoustic fingerprinting technology, accurate metadata tagging capabilities, and user-friendly interface, Picard provides an efficient solution for organizing and maintaining music collections with precision and ease.
Overview
MusicBrainz Picard is a Shareware software in the category Miscellaneous developed by MetaBrainz.
It was checked for updates 471 times by the users of our client application UpdateStar during the last month.
The latest version of MusicBrainz Picard is 2.12.3, released on 09/28/2024. It was initially added to our database on 10/30/2007. The most prevalent version is 2.12.3, which is used by 73% of all installations.
MusicBrainz Picard runs on the following operating systems: Windows/Mac. The download file has a size of 30.5MB.
Users of MusicBrainz Picard gave it a rating of 4 out of 5 stars.
Pros
- Automatically identifies and tags music files with correct metadata
- Supports various audio formats including MP3, FLAC, OGG, and more
- Allows customization of file naming and organization
- Has a user-friendly interface with drag-and-drop functionality
- Offers plugins for additional functionalities and customizations
- Provides support for AcousticID for accurate music identification
Cons
- Can be overwhelming for beginners due to the extensive options and settings
- Occasional bugs or stability issues reported by some users
- Limited options for advanced metadata editing compared to some other software
FAQ
What is MusicBrainz Picard?
MusicBrainz Picard is an application meant to assist you in identifying and tagging music files. It is designed to automatically identify and tag audio files with metadata, such as album name, track number, and artist information.
How do I download MusicBrainz Picard?
You can download MusicBrainz Picard for free on the official . It is available for Windows, Mac OS X, and Linux.
Can I use MusicBrainz Picard to look up missing album covers?
Yes. MusicBrainz Picard provides the option to look up missing album covers and add them to your audio files.
How accurate is MusicBrainz Picard at identifying tracks?
MusicBrainz Picard utilizes an extensive database of music fingerprints to accurately identify tracks. However, it may not be accurate for every single track.
Does MusicBrainz Picard support batch tagging?
Yes. MusicBrainz Picard supports batch tagging of entire music collections.
Can MusicBrainz Picard be used to edit existing tags?
Yes. MusicBrainz Picard allows you to edit existing tags and add new ones to your music files.
What file types are supported by MusicBrainz Picard?
MusicBrainz Picard supports a variety of audio file formats, including MP3, FLAC, Ogg Vorbis, and more.
How do I use MusicBrainz Picard?
You can use MusicBrainz Picard by simply dragging and dropping the music files you want to tag into the application. MusicBrainz Picard will then automatically identify the songs and provide you with accurate metadata.
Is there a community for discussing MusicBrainz Picard?
Yes. There is a community forum available on the , where users can discuss MusicBrainz Picard as well as other MetaBrainz projects.
Can I donate to support the development of MusicBrainz Picard?
Yes. You can donate to the MetaBrainz Foundation, which develops MusicBrainz Picard and other open-source projects, on their official .
Elena Angelini
I'm Elena, your go-to software reviewer at UpdateStar and tech enthusiast. Whether you're a user seeking the latest software titles or software news I've got you covered. When I'm not diving into the latest software, you can find me exploring nature trails, camping under the stars, or competing in online multiplayer games. My reviews are designed to be fun, engaging, and packed with all the details you need to make informed decisions.
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