Skip to main content

Transfer CSV playlists to TIDAL with fast and accurate matching modes.

Project description

PyPI Version Python Versions License

csv2tidal

csv2tidal is a standalone CLI for transferring Exportify CSV playlists and similar Spotify-style exports to TIDAL with two matching modes.

Transfer Modes

  • Fast: quicker matching for large playlist transfers
  • Accurate: stronger album and version-aware matching for safer results

Features

  • Import Exportify .csv files directly
  • Windows file picker in interactive mode
  • Match using title, artists, album, ISRC, year, and duration
  • Penalize compilation, acoustic, remix, live, and other mismatched editions
  • Handle duplicate TIDAL quality editions intelligently
  • Transfer accepted matches to TIDAL favorites or a new TIDAL playlist
  • Optional JSON report output controlled from settings
  • Quiet Ctrl+C handling and cancel support during matching

Requirements

Before using csv2tidal, make sure you have:

  • Python 3.9 or newer
  • a TIDAL account
  • an Exportify-format CSV playlist export
  • access to Exportify to generate the CSV file

Documentation

Install

pip install csv2tidal

For local development:

pip install -e .

Usage

Launch the interactive app:

csv2tidal

[!NOTE] Interactive defaults:

  • pressing Enter at the transfer destination prompt selects Playlist
  • the CSV filename is used as the default playlist name
  • JSON report creation depends on the saved Generate JSON report? setting

Notes

[!TIP]

  • Exportify CSV from exportify.app is the primary supported input format.
  • The CSV filename is used as the fallback collection or playlist name when the file itself does not include one.
  • TIDAL login uses OAuth in your browser and stores a local session for reuse.
  • Existing tidal-transfer settings and session data are migrated automatically to the new csv2tidal app-data folder on first run.

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

csv2tidal-0.1.3.tar.gz (17.4 kB view details)

Uploaded Source

Built Distribution

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

csv2tidal-0.1.3-py3-none-any.whl (16.2 kB view details)

Uploaded Python 3

File details

Details for the file csv2tidal-0.1.3.tar.gz.

File metadata

  • Download URL: csv2tidal-0.1.3.tar.gz
  • Upload date:
  • Size: 17.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.0

File hashes

Hashes for csv2tidal-0.1.3.tar.gz
Algorithm Hash digest
SHA256 5c2be5ea871ab7a17792371460a7c18b632b9b2d89db1bab72b22dd5cac10326
MD5 7c6c68a0e3f85b8b03853db72a3422de
BLAKE2b-256 28d33aa4362d0715b902ded20e41168d5eba7b4dcf885c48b329d91f77b2a028

See more details on using hashes here.

File details

Details for the file csv2tidal-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: csv2tidal-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 16.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.0

File hashes

Hashes for csv2tidal-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 a924f04c40848f79960a63182fa6ff459275a731e7914f8fb4a8283ad49fb89d
MD5 8be27126512ea5aeda069a836ec65351
BLAKE2b-256 e27a171349140d84c28404b1659aa496e91ae1e14a4574e05555ccf81ba1be90

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