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authorMarcel Saegebarth <marc@mos6581.de>2014-12-29 23:49:34 +0700
committerWilly Sudiarto Raharjo <willysr@slackbuilds.org>2014-12-29 23:49:34 +0700
commit18f052e822c14bc962aae730c66f00c80d78a841 (patch)
treebdbe8027b9db112ae829b189b64ae98a1e4bb725 /multimedia/picard/README
parenta6f7c2845fcf0bb0679b7d1578eef31e2df2fa2e (diff)
downloadslackbuilds-18f052e822c14bc962aae730c66f00c80d78a841.tar.gz
multimedia/picard: Updated for version 1.3.1 + new maintainer.
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
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-Picard is the next generation MusicBrainz tagging application. This new
-tagging concept is album oriented, as opposed to track/file oriented like
-the ClassicTagger was. Picard is written in Python, which is a cross-platform
-language, and makes use of cross-platform libraries - this allows the same
-code to run both on Windows, Linux and Mac OS X.
+MusicBrainz Picard is a cross-platform (Linux/Mac OS X/Windows)
+application written in Python. It supports the majority of audio
+file formats, uses PUID audio fingerprints, performs CD lookups
+and disc ID submissions, and it has excellent Unicode support.
+This application is the official MusicBrainz tagging application.
+
+Note: You need to compile and install `chromaprint' with `ffmpeg'
+installed for getting the `fpcalc' utility to lookup the music
+files against `AcoustID' and `MusicBrainz'.