GPS-Tagger is a powerful, locally-run utility designed for precise photo geolocation and timestamp management. Built for photographers, archivists, and creators, it allows you to easily embed, adjust, and batch-process EXIF GPS coordinates and capture times across your digital image libraries.
- Interactive Map Geocoding: Visually select locations via a built-in interactive map to embed precise EXIF metadata into your images.
- Relative Spacing Preservation: Maintain the exact original time and distance gaps between photos when moving an entire batch to a new location, ensuring your original shooting sequence remains perfectly intact.
- Visual Watermarking: Automatically generate beautiful, customizable typography overlays featuring localized map thumbnails, text addresses, and capture timestamps.
- Multi-Threaded Processing: Leverage your full CPU for lightning-fast batch exports, keeping your workflow efficient even with massive image queues.
- Data Injection & Dithering: Inject custom dates or apply slight variance bounds (jitter) to coordinates and timestamps for natural, organic metadata distribution.
- Privacy-First Local Processing: Your high-resolution images are processed entirely offline on your machine. Network requests are strictly limited to fetching map tiles and text addresses.
- Interface Engine: Python & PySide6
- Image & EXIF Processing: Pillow (PIL) & Piexif
- Geocoding & Mapping: Geopy (Nominatim), StaticMap, & Leaflet.js
Whether you are organizing a decade of fine-art photography, correcting missing GPS hardware data from older camera bodies, or generating detailed proof-sheets with branded typography overlays, GPS-Tagger streamlines the process. The application features a sleek dark-mode interface (Sunset & Slate) where you can drag-and-drop files, quickly preview existing metadata matrices, and securely process your files with customizable collision and downscaling policies.