One Tagger One Tagger

One Tagger is a cross-platform music tagger designed to help users organize and enhance their digital music collections by automatically fetching metadata from multiple platforms. It supports a wide range of audio formats, including MP3, AIFF, FLAC, and M4A (AAC, ALAC), making it versatile for different music workflows.

Key Features:

• AUTO TAG: Automatically retrieve metadata from Beatport, Traxsource, Juno Download, Discogs, MusicBrainz, Spotify, and more. It can identify tracks using Shazam or based on Artist & Title tags, filenames, or playlists.
• AUDIO FEATURES: Fetch Spotify's audio features (e.g., energy, tempo, danceability) based on ISRC tags or exact matches. Users can customize thresholds to translate these values into meaningful descriptions.
• QUICK TAG: Manually tag tracks quickly using predefined characteristics like energy levels, moods, and genres. Keyboard shortcuts are supported for efficient tagging.
• AUTO RENAME: Automatically rename files based on tags using a customizable template string.

Audience & Benefit: Ideal for DJs, music producers, and enthusiasts with large music libraries who need precise organization and enhanced metadata to improve their workflows or mixes. The tool streamlines the process of tagging, renaming, and managing tracks, ensuring consistency and efficiency in music collection management.

One Tagger is built using Rust, Vue.js, and Quasar, ensuring performance and cross-platform compatibility. It can be installed via winget for easy setup on Windows.