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

This version

2.10.0rc1 pre-release

2.9.2

2.9.1

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-2.10.0rc1.tar.gz (5.8 MB view details)

Uploaded Source

Built Distributions

picard-2.10.0rc1-cp312-cp312-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.12 Windows x86-64

picard-2.10.0rc1-cp312-cp312-macosx_10_9_universal2.whl (3.1 MB view details)

Uploaded CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64)

picard-2.10.0rc1-cp311-cp311-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.11 Windows x86-64

picard-2.10.0rc1-cp311-cp311-macosx_10_9_universal2.whl (3.1 MB view details)

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

picard-2.10.0rc1-cp310-cp310-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.10 Windows x86-64

picard-2.10.0rc1-cp310-cp310-macosx_11_0_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

picard-2.10.0rc1-cp39-cp39-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.9 Windows x86-64

picard-2.10.0rc1-cp39-cp39-macosx_11_0_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

picard-2.10.0rc1-cp38-cp38-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.8 Windows x86-64

picard-2.10.0rc1-cp38-cp38-macosx_11_0_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

picard-2.10.0rc1-cp37-cp37m-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.7m Windows x86-64

picard-2.10.0rc1-cp37-cp37m-macosx_11_0_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.7m macOS 11.0+ x86-64

File details

Details for the file picard-2.10.0rc1.tar.gz.

File metadata

  • Download URL: picard-2.10.0rc1.tar.gz
  • Upload date:
  • Size: 5.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for picard-2.10.0rc1.tar.gz
Algorithm Hash digest
SHA256 b10cee0dd3240936ab19cd8f5ba59f8a95cf27df169fd1e07c6c87184f742ed2
MD5 dac609b76aef7ec8800d5439950ea3f2
BLAKE2b-256 53f961ce05edf8a7e3e50bfec9e0c0f9be69839a7c1cc4951a27457d490326fc

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 228e138976951887f270cdaed754433ac2da6e9973bccefdeb8ac0d8efefb93c
MD5 4532fd4ad4b0d3cf0a05bc8ed2f01e16
BLAKE2b-256 83e2f72c9ee454043bc7171f18d78ac381485fdc767e5b9df28bd521d3a6dbcb

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp312-cp312-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp312-cp312-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 10202574b2c6bab4d7dfaa9d223588e34053e41ee2a151395b4f0be6b487f73c
MD5 fcd7f7b4b5ffe67ff14821482df40f4b
BLAKE2b-256 e9a04289db4b3bb6088249cd852fc17ecbdc6ef0c84fe50993f16453e359a9b4

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 f0d82a98c569421292f263bb01987cefbb0dd282944bcc63d07ce5521f6df3f8
MD5 7e485b3c60657fee630bee64d6eeafcd
BLAKE2b-256 848f147b2fdfb686f41bb4cd5ef01d8fc8f977e348a1303cb7134ad0d033119a

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 270adfd231f892831e01b6ec6ea99d04c5cfa3f8a487bfcde93118ec7d0d2de6
MD5 efad463cbe4365a46ca26cc7afcdbf49
BLAKE2b-256 2a728e9065a7ab8bde0130518fabf4e93938c49b1440fbd97fffa89761abdb00

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c7000bb8fe2fe3dd7a00ec18b5e247ce6c3eb30f384458f63f4bd10291b91794
MD5 76ba16bb35ca9380795af8021768337b
BLAKE2b-256 2880bfa078a6e1649d95a080220069df7f8afc6f9b3ebef1c51b294da68777dc

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 adb95d142f86947037f45affddf94a7451748d4cc88827cf3c3aad21a085b384
MD5 c1841842e1919de2b4ed39885a8e6693
BLAKE2b-256 6d8bb10b6d7fb11bf8034d548f82fde3a19baf9c5e6b17e527086dab703fa541

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 18715b75044f28db4975396f7d471f908686561d06ca8255dff5a5db398051e9
MD5 306dc8df1f15ef7a3976f9b894512a05
BLAKE2b-256 0531f370456effbceef1b8f90d1f8d6dbcc27cd13b164073ac4e4df3505654bd

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 5312ff7f86fc2be9ee4db53fea1c764b3c3aa2e3823f111cff3cc8021733c2d3
MD5 1e99265c3babfdcc13fb4fceedcb36c9
BLAKE2b-256 4766324e43ba69c1fa6881cfa3ef5301da331cff6d75a1df01a681f1cd464f38

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 40b21ca08409b64dc1da458327b44e4d6bbc08767377379c0a2d2870c454d96f
MD5 f0283762ed6a33f5e91feade806b51ea
BLAKE2b-256 dcab9cf69f1b4b0a466c9eaa46f69e454af1fc3cb632ad3a8b1bd5d01cb0b69c

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 dd45e7b596d2904d3fdfc3bac3565eecf7e4cc65aaecbb4a9aa6495026c8ab4e
MD5 784678a41d44ea9565febe91b5117e6d
BLAKE2b-256 2e83846b2c935f03f96c22c93cef4f4715f70768622a09b7290dc9a746316606

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 2071b4191b130673ed51e5900e7bc18099ad8a0e94e46293fdb68e9f98d16d6c
MD5 1b82e98a23bfc83d8e3aca44fc75d6b4
BLAKE2b-256 9c8cc641599f8e0e8ba023221cd9331a32e62f272b73e9d7b85df82d5b43cebe

See more details on using hashes here.

File details

Details for the file picard-2.10.0rc1-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for picard-2.10.0rc1-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 10ef4f4e32c35e7633d6c52319cc391889b5d8650dc55152d3b4c971e359d4b3
MD5 e94afac2fb209b6d5337dc0e6b6d7600
BLAKE2b-256 bd2dfbed273dfafcaa5c312ff1cce8d048d541aa96c42fb1759440b65d25d9af

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