Awesome GitHub RepositoriesMetadata Automators

Beets is a command-line music library manager that automates the organization, standardization, and maintenance of digital audio collections. It functions as a relational database-backed system that identifies audio content through acoustic fingerprinting and retrieves accurate metadata from online databases to ensure consistent tagging and directory structures. The project distinguishes itself through an event-driven pipeline architecture and a modular plugin system, which allow users to intercept and customize library processing workflows. This extensibility enables the integration of exter

JavSP is a media library organizer and video metadata scraper designed to sort and categorize video files. It extracts identifiers from filenames to aggregate media information from online sources and generates standardized NFO metadata files compatible with media servers. The utility features automated cover art processing that fetches high-definition images and crops non-standard posters into consistent dimensions. It also includes a multilingual metadata translator to convert video titles and summaries into different target languages. The system provides capabilities for media library org

MusicBrainz Picard is a metadata tagger and audio tag editor that identifies and tags audio files using the MusicBrainz community music database. It functions as a plugin-extensible tagging framework and a scriptable file organizer capable of reading and writing tags across various audio formats including MP3, FLAC, and WAV. The project is distinguished by its acoustic fingerprint identifier, which matches unknown music files to known recordings via sonic fingerprints. It features a custom scripting language for automating metadata transformations and organizing files into structured folder h