spotbye/spotiflac

Get Spotify tracks in true FLAC from Tidal, Qobuz & Amazon Music — no account required.

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Summary Information

Updated 44 minutes ago
Added to GitGenius on September 5th, 2026
Created on January 9th, 2025
Open Issues & Pull Requests: 112 (+0)
GitHub issues: Enabled
Number of forks: 564
Total Stargazers: 10,943 (+1)
Total Subscribers: 80 (+0)

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Detailed Description

Spotiflac is a Spotify track downloader that retrieves lossless FLAC audio from alternative streaming sources without requiring accounts on those services.

The tool solves the problem of obtaining high-quality lossless audio for tracks found on Spotify, which itself offers only lossy streaming. It works by taking a Spotify track identifier and fetching the equivalent track in FLAC format from Tidal, Qobuz, or Amazon Music. The approach requires no authentication with these services, making the process straightforward for users who want to build a local library of lossless versions of their Spotify playlists.

Spotiflac suits users who prioritize audio quality and want lossless copies of Spotify content without managing multiple streaming subscriptions. It is particularly useful for those building personal music libraries or working with audio production where lossless formats matter. The tool's ability to pull from three different sources increases the likelihood of finding tracks that might be unavailable on a single platform. Anyone considering adoption should understand that the tool's functionality depends on track availability across these services and that the no-account requirement is a significant convenience factor compared to alternatives that demand authentication.

The project shows active development with regular commits addressing bugs and feature improvements. Work is distributed across multiple areas including core functionality refinement, source integration updates, and user interface enhancements. The codebase receives ongoing maintenance with issues being addressed and dependencies being kept current. Development appears focused on reliability and expanding source compatibility rather than rapid feature expansion.