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Picard can manage local audio files as well as those stored elsewhere on the network, such as a NAS box.
Working with network files can incur a small lag—particularly with large libraries—as files are read and written to across the network, so I find it best to work with a small selection of albums at a time. On the left is a file browser, used to select albums and tracks for analysis.
There are two primary options for locating an album in the Music Brainz database.
A quick search can be launched by highlighting an album or file in the left pane, then hitting the icon in the task bar.
It does everything I mentioned above and is completely free to download and use on Windows, Mac OS, and Linux.
Picard is a front-end to the Music Brainz database ( Brainz.org/), a crowdsourced encyclopedia that collects music metadata and distributes it to the public under an open license.
But note that the folder has been placed in the category.
This means that Picard has analyzed the existing metatags and recognizes that these tracks belong together in an album.
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The icon is used to point Picard to your music collection.
As mentioned, Picard runs more quickly if you work with a single album or a few albums at a time, but you could ask it to chew through your entire library, should you wish.
Most CD-ripping applications will automatically attach metadata—literally data that describes other data—to your tracks.
Music metadata includes track names, album and artist details, and other information that help you navigate your music library. If you purchase and download music—whether it be from Amazon, i Tunes, or a boutique outlet like 7Digital that sells high-resolution audio tracks, including MQA files—you’ll find that most distribute tagged files.
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You can rename files according to information from the tags, import tag information from filenames or other sources, perform any text replacement and transformations in tags and filenames.