This portable Python command-line program runs on both Python 3.X and 2.X, and works on all major platforms, including Windows, Mac OS, and Linux. Its main role is to merge the content of disparate photo collections spread across multiple folders.
If your digital photo collection has become scattered over many folders; uses filenames that are not unique because of their origin on multiple cameras; hosts modification dates that reflect retouches instead of events; or contains arbitrary duplicates, tagpix may be the photo-organizing tool you've been looking for. Running it on your photo folders transforms them into a simple, uniform format that's ideal for both viewing and archiving, and as private as the device on which it is stored.
tagpix transfers all the items in an entire source-folder tree to either a single flat folder or group-by-year subfolders, and renames the items transferred with date-taken or date-modified prefixes to make them unique. Date taken is extracted from standard photo-file Exif metadata tags or Android filename; any non-photo items (movies and other) are isolated in their own folders; files may be transferred by moves or copies per user settings; and duplicate content and filenames are found and resolved automatically.
This program is a source-code script run from a console, where all inputs are prompted. You can use it to create a new archive (e.g., for burning to optical disk), extend an existing one (e.g., for viewing), or do both for new photos with an extra post-run merge (e.g., by file-explorer GUI). However it is used, tagpix provides fast, convenient, and private access to all the photos you've shot over multiple years on multiple cameras.
For complete usage coverage and version details, see the User Guide listed below. For license and usage cautions, see the documentation string at the top of the script file, also below.
Use the following to fetch tagpix, or view its unzipped content.
This program was last changed: December 4, 2018.
For Python-coded options for viewing and publishing your photo folders, try the thumbspage web-page generator, and the PyPhoto GUI in PyGadgets. For more code examples, see the programs page.
New: an experimental app for Mac OS was withdrawn, but its web page has Pillow install tips.