The next generation MusicBrainz tagger

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for metabrainz from gravatar.com metabrainz Avatar for phw from gravatar.com phw Avatar for sambhav_kothari from gravatar.com sambhav_kothari Avatar for Wieland.Hoffmann from gravatar.com Wieland.Hoffmann

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v2 or later (GPLv2+)
  • Tags MusicBrainz, metadata, tagger, picard
  • Requires: Python ~=3.7
Classifiers

Project description

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.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for metabrainz from gravatar.com metabrainz Avatar for phw from gravatar.com phw Avatar for sambhav_kothari from gravatar.com sambhav_kothari Avatar for Wieland.Hoffmann from gravatar.com Wieland.Hoffmann

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v2 or later (GPLv2+)
  • Tags MusicBrainz, metadata, tagger, picard
  • Requires: Python ~=3.7
Classifiers

Release history Release notifications | RSS feed

2.12.3

2.12.2

2.12.1

2.12

2.11

2.11.0rc1 pre-release

2.10

2.10.0rc1 pre-release

2.9.2

2.9.1

This version

2.9

2.9.0b3 pre-release

2.9.0b2 pre-release

2.9.0b1 pre-release

2.9.0a1 pre-release

2.8.5

2.8.4

2.8.3

2.8.2

2.8.1

2.8

2.8.0rc2 pre-release

2.8.0rc1 pre-release

2.7.3

2.7.2

2.7.1

2.7

2.7.0b3 pre-release

2.7.0b2 pre-release

2.7.0b1 pre-release

2.6.4

2.6.3

2.6.2

2.6.1

2.6

2.6.0b3 pre-release

2.6.0b2 pre-release

2.6.0b1 pre-release

2.5.6

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.5

2.5.0b1 pre-release

2.4.4

2.4.3

2.4.2

2.4.1

2.4

2.4.0b2 pre-release

2.4.0b1 pre-release

2.3.2

2.3.1

2.3

2.3.0rc1 pre-release

2.3.0b1 pre-release

2.3.0a1 pre-release

2.2.3

2.2.2

2.2.1

2.2

2.2.0.dev4 pre-release

2.1.3

2.1.2

2.1.1

2.1

2.0.4

2.0.3

2.0.2

2.0

0.12.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

picard-2.9.tar.gz (5.2 MB view details)

Uploaded Source

Built Distributions

picard-2.9-cp311-cp311-win_amd64.whl (3.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

picard-2.9-cp311-cp311-macosx_10_9_universal2.whl (3.0 MB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

picard-2.9-cp310-cp310-win_amd64.whl (3.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

picard-2.9-cp310-cp310-macosx_11_0_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

picard-2.9-cp39-cp39-win_amd64.whl (3.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

picard-2.9-cp39-cp39-macosx_11_0_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

picard-2.9-cp38-cp38-win_amd64.whl (3.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

picard-2.9-cp38-cp38-macosx_11_0_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

picard-2.9-cp37-cp37m-win_amd64.whl (3.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

picard-2.9-cp37-cp37m-macosx_11_0_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.7m macOS 11.0+ x86-64

File details

Details for the file picard-2.9.tar.gz.

File metadata

  • Download URL: picard-2.9.tar.gz
  • Upload date:
  • Size: 5.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.17

File hashes

Hashes for picard-2.9.tar.gz
Algorithm Hash digest
SHA256 98c682bf9205a88168f2732e5ceb24ab84f8d5bb4ca7acf1af4ad1bd7e695b24
MD5 dec57ef9081418afa01aa3dfbdca38c4
BLAKE2b-256 092fcec1c73dd5a1b50d646efe49dfa7581da296acd40a4a46db6e39ded74aae

See more details on using hashes here.

File details

Details for the file picard-2.9-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: picard-2.9-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for picard-2.9-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 02628c67ee09e15c32a084e3b4f9a5e09fb4d2b7ce1f249ef9a9fa0f85365576
MD5 bea7c57fe661faa039584a3fb1d4992e
BLAKE2b-256 3f2158df764136fbfee9a9de2f157262bee6c7b5d4ad4eb034bc0d4ff0e6d48d

See more details on using hashes here.

File details

Details for the file picard-2.9-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for picard-2.9-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 2a5c76d00d4423090dad17af5a1d5faffb67e2be52334ae5feabff019ed8c226
MD5 371b73e276ed394f361e53b5a78ab72c
BLAKE2b-256 6c17f3ae99ee9437f64b69565d39b40bf5f4d8e50d61a463386d2fd34fc609b2

See more details on using hashes here.

File details

Details for the file picard-2.9-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: picard-2.9-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for picard-2.9-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 8e0a7faa94e1673881d87c4b0b127f41675dfdf47fa086e403333b1b6b4d6f22
MD5 69616e5f3946e41adb7021bff280192c
BLAKE2b-256 6978994cb59bdfb601af1da3b60d54d1f6e2c224221a5c70df7f753fe376be34

See more details on using hashes here.

File details

Details for the file picard-2.9-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for picard-2.9-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 7102474173ee1b0e172889d80e7b2f7e95eca234d0ba204437df303766bc2274
MD5 b8ffa3cce3319849c55e94c2bd80499a
BLAKE2b-256 9e5b2f3f73cdf1bff34a8e73153925e41f235ff35eb7012f9910a58b2225ac39

See more details on using hashes here.

File details

Details for the file picard-2.9-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: picard-2.9-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for picard-2.9-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 8a55c885805c0e86b35535f94ccafdf16c2a1cc52924d646abc07bc6ce8a8cf6
MD5 7db51e8287e3e76aa0019db0747585fd
BLAKE2b-256 539fd87b026ed3dbbafe3308993e7d38fd8757415a993fa677cb6850d2c6b013

See more details on using hashes here.

File details

Details for the file picard-2.9-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for picard-2.9-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 84e9c45199acdd3a6da2427899341488a87798a2225044e6359ce596d9f64cff
MD5 81152d7c17d3a0aa2a3a2200dfceb3f1
BLAKE2b-256 f4bf0549fc3511a9aeaa65bc8cb95979fe18406de65595c4f3fa1bff80ee660a

See more details on using hashes here.

File details

Details for the file picard-2.9-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: picard-2.9-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for picard-2.9-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 f32decbd43658e77f870fa27ed8166952ee691da37ae0cbbb3b9b0013cc47b1a
MD5 609cf067a83200e1e2dfca62c1cffae9
BLAKE2b-256 7429a0f6e89a1dc3b9700ec0e5df0d82bdae69322d06145d981ab8c1a30b57f8

See more details on using hashes here.

File details

Details for the file picard-2.9-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for picard-2.9-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 fae583deb5294d9f56cf7b3bf586a292fdbd9962516ebcde408f475e13a5160b
MD5 b443adfaf63bd04b4deaee0d723578a5
BLAKE2b-256 1ea4b5376cfec1cd8fa7202dbab2fe7c32fe896c4f05564b43541aa15b689890

See more details on using hashes here.

File details

Details for the file picard-2.9-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: picard-2.9-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for picard-2.9-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 7db1692ffc08e6ced5f211900803274ce4d6899384864f0be95416526ae82c9f
MD5 e35e7fc21270a045fa74ed77b0df8e19
BLAKE2b-256 efc8b68c4687a5a528193cf2f5c0b51c2dd015f0c8061a8daee99482f22ffe3c

See more details on using hashes here.

File details

Details for the file picard-2.9-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for picard-2.9-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 e94964fdf6cf494b6f06f84158a52b6f03ce9b3506db08a0382840eb6e5fc84b
MD5 e0bfcd8f21dcc756efae356579a79380
BLAKE2b-256 0ab4321552f055432abdce81fa7b7732722d42a7b6f889b122430d696eb38900

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page