Skip to main content

A command line tool to fetch lyrics from Genie

Project description

lyriks License PyPI version PyPI downloads

A command line tool that fetches lyrics from Genie.

Installation

You can easily install lyriks from PyPI by using pip:

pip install lyriks

To install it from source instead, clone the repository and build the wheel before installing it with pip:

uv build
pip install dist/lyriks-0.5.6-py3-none-any.whl

You can also run the script directly from within the repository:

`./lyriks.py /path/to/music/folder`

Make sure to first install the required dependencies from pyproject.toml (i.e. uv sync).

Usage

Simply run the script with the path to the folder containing your music as an argument. This can be your whole collection, a single artist, or a single album.

lyriks /path/to/music/folder

The script will search for audio files (.flac or .mp3) in the given folder, and attempt to fetch the lyrics. Note that it will only be able to do that for files that are properly tagged with MusicBrainz MBIDs (specifically musicbrainz_releasegroupid and musicbrainz_trackid). It then uses them to resolve the Genie album ID from the release or release group on MusicBrainz. Thus, at least one release in the release group must have a URL relationship to the album on Genie.

If successful, the lyrics will be downloaded and stored next to the audio files with the appropriate extension (.lrc or .txt, depending on whether they're synced or not).

Exclude files and folders

You can recursively ignore folders by adding a (empty) .nolyrics file inside the folder you want to exclude. This can be useful for Western artists, where Genie is unlikely to have lyrics, or for instrumental releases.

Likewise, you can ignore specific songs by creating a file with the same name as the audio file but the extension changed to .nolyrics. For example, a track named 01 Song.flac can be excluded by creating a file named 01 Song.nolyrics.

Excluded files won't be queried at all, which can noticeably speed up the synchronisation process for large collections.

Project details


Download files

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

Source Distribution

lyriks-0.5.6.tar.gz (33.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lyriks-0.5.6-py3-none-any.whl (39.4 kB view details)

Uploaded Python 3

File details

Details for the file lyriks-0.5.6.tar.gz.

File metadata

  • Download URL: lyriks-0.5.6.tar.gz
  • Upload date:
  • Size: 33.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.18 {"installer":{"name":"uv","version":"0.9.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Arch Linux","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for lyriks-0.5.6.tar.gz
Algorithm Hash digest
SHA256 18a5ac1fb3d552295b75809cc1ef54070714632817ba7a9f89c74885085aadcb
MD5 a2501618353e438eb6bfe254feba12ab
BLAKE2b-256 e4ec228634db60784ca0ec1b7a7888d743178a82aaf4c6cdf588d723ddc215e0

See more details on using hashes here.

File details

Details for the file lyriks-0.5.6-py3-none-any.whl.

File metadata

  • Download URL: lyriks-0.5.6-py3-none-any.whl
  • Upload date:
  • Size: 39.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.18 {"installer":{"name":"uv","version":"0.9.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Arch Linux","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for lyriks-0.5.6-py3-none-any.whl
Algorithm Hash digest
SHA256 0f1e883c4c7d68446507dfa1100da8d1691a60b91e25a111f03151c0f7cd59e3
MD5 346c97828f559ac98eae8a733261e1a5
BLAKE2b-256 c75e3a043b4b219845ee288a1f946be4c1179fe2083248756d91aa090602b5ee

See more details on using hashes here.

Supported by

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