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 ~=3.6
Classifiers

Project description

MusicBrainz Picard

Github Actions Status Codacy Grade

MusicBrainz Picard is a cross-platform (Linux/Mac OS X/Windows) application written in Python and 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.

Picard is named after Captain Jean-Luc Picard from the TV series Star Trek: The Next Generation.

Binary downloads are available here.

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.

Installing

INSTALL.md has instructions on building this codebase.

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 ~=3.6
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

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

This version

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-2.7.0b2.tar.gz (4.3 MB view details)

Uploaded Source

Built Distributions

picard-2.7.0b2-cp39-cp39-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.9 Windows x86-64

picard-2.7.0b2-cp39-cp39-macosx_10_14_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.9 macOS 10.14+ x86-64

picard-2.7.0b2-cp38-cp38-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

picard-2.7.0b2-cp38-cp38-macosx_10_14_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

picard-2.7.0b2-cp37-cp37m-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

picard-2.7.0b2-cp37-cp37m-macosx_10_14_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

picard-2.7.0b2-cp36-cp36m-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

picard-2.7.0b2-cp36-cp36m-macosx_10_14_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.6m macOS 10.14+ x86-64

File details

Details for the file picard-2.7.0b2.tar.gz.

File metadata

  • Download URL: picard-2.7.0b2.tar.gz
  • Upload date:
  • Size: 4.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for picard-2.7.0b2.tar.gz
Algorithm Hash digest
SHA256 90c72eddae3c2a6b9f96276789d8f235237dc527869ebe1bdd558d00751d9c7c
MD5 27f7f2414d1dcc03c9aacf31dbe52d73
BLAKE2b-256 9de797e5244b46d0e4983237d5bd7aad2bb4490fe1ae9e4fd9f5827ece84697b

See more details on using hashes here.

File details

Details for the file picard-2.7.0b2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: picard-2.7.0b2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for picard-2.7.0b2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 2b5e86add15159c481ad75fa91f8c53beffffde03dc51cc85fe7bf28884872bd
MD5 349f68a1b4a0ce8ccc3a1e24c47fa545
BLAKE2b-256 d15759cc7ed307b981c6ae628b45b04a100d61786bc039e8e43917a93331a8be

See more details on using hashes here.

File details

Details for the file picard-2.7.0b2-cp39-cp39-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: picard-2.7.0b2-cp39-cp39-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.9, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for picard-2.7.0b2-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 ee0607566b0d463abae39aace9698003f9a84ca99290676c119fbba428eefa33
MD5 0dd523d4686a2b528014bdccd8161022
BLAKE2b-256 adaece4d4e6900044286ff4e0d2b1df41cf516492520bbefbfe38ec70287af56

See more details on using hashes here.

File details

Details for the file picard-2.7.0b2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: picard-2.7.0b2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

File hashes

Hashes for picard-2.7.0b2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 c9915f84bff292eedb94bbbc19c6d2ee12d3391ca6bf59dbf11919752f4239e6
MD5 f14ee3cdc10ce5b51441e3d354d422c6
BLAKE2b-256 df1bec3f83c0d2562fe259671318730441e40e8981fd925306dd98f509d70702

See more details on using hashes here.

File details

Details for the file picard-2.7.0b2-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: picard-2.7.0b2-cp38-cp38-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.8, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for picard-2.7.0b2-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 b29d2b77ae56c9d3efc6c6eb0714cf6ce10fc3383a3886ae624aad0b3f8a2e52
MD5 a355f236b3c9fcd730a3e9fb26ae6104
BLAKE2b-256 363d4c08def12c299ff07780ede6a28002752d67bea7030493b4377cfb3cc46b

See more details on using hashes here.

File details

Details for the file picard-2.7.0b2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: picard-2.7.0b2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.9

File hashes

Hashes for picard-2.7.0b2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 dc01c1adc18df00f8780be54de8ce52f038cdafc4166d7a8e55c3498bd4a005f
MD5 58cb032403a6620e043d1a78b1a9288a
BLAKE2b-256 2002a32c10ef4fff9a9eff08c2fca7ee6968ca23ff0c8f05b832223cb5513a9e

See more details on using hashes here.

File details

Details for the file picard-2.7.0b2-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: picard-2.7.0b2-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for picard-2.7.0b2-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 13bf35c3c658263f6897ea8202aa024f36bfa9c3fd243bce823e263a5789f2fa
MD5 5792e4a34e275860fc56d927630ffc2d
BLAKE2b-256 af988a8de302395ac047fb7240aa705f9cd2cf4957ba47258f24348192bfe24e

See more details on using hashes here.

File details

Details for the file picard-2.7.0b2-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: picard-2.7.0b2-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for picard-2.7.0b2-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 de0c82035902f62cb9d1b541cad22419eef257a58487bcb323b6cf0b77d9360b
MD5 fdb26c887b745f54ab6506c2b7a97afd
BLAKE2b-256 552b19868aa4fc293098db176e748dda4a085bf6b6b84de0d012696cff616167

See more details on using hashes here.

File details

Details for the file picard-2.7.0b2-cp36-cp36m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: picard-2.7.0b2-cp36-cp36m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.6m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.15

File hashes

Hashes for picard-2.7.0b2-cp36-cp36m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 1ffee20144ac3aab4a6baf645d849ee13a27f4f55d730e812218955e03ed992b
MD5 1b4fe3f491aa09e73a6761a73f36c64b
BLAKE2b-256 b4b80b90b395d18d9c5226774ca023abdf96561071c61c3619eae97c296a7f4f

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