Tagasaurus is an offline-first desktop application designed to empower users in managing their visual media, including photos, PDFs, videos, GIFs, and audio files, all while keeping them stored locally on their devices. Through the use of machine learning, Tagasaurus enables efficient file retrieval and organization. Users can simply drop in a photograph of a person to locate all related images with ease.

Key Features

• Machine Learning-Powered Visual Search: Effortlessly match a face by providing an example image via webcam, screen-share, or any other picture.
• Natural Language Text Queries: Find similar memories by typing queries like 'sunset beach 2022', making the search intuitive and straightforward.
• Import/Export Functionality: Manage your media library easily by saving, sharing, or migrating it as a single archive. Simply drag and drop images into the application for storage, and import them later to merge your collections.
• Cross-Platform Compatibility: Available for both Linux and Windows operating systems, Tagasaurus eliminates the need for cloud storage and sign-ups, ensuring complete data privacy.
• People-Network Navigation: Explore the people featured in your photos with a user-friendly point-and-click interface, enhancing the experience of revisiting memories.

In case of hardware limitations, users can opt for the legacy version of Tagasaurus, which maintains a focus on sorting and storing memes while offering a robust set of features. For more details, visit the legacy Tagasaurus.

Tagasaurus presents a unique solution for those seeking to keep their digital memories easily accessible while maintaining control over their data.