Geosetter

Geosetter

Geosetter is a free, open source software used to organize and tag images with their geographic location and other metadata. It allows users to batch edit GPS data and view photos on a map for easy geotagging.
Geosetter image
geotagging metadata gps mapping batch-editing

Geosetter: Free Open Source Geotagging Software

Organize images with geographic location and metadata, batch edit GPS data, and view photos on a map for easy geotagging.

What is Geosetter?

Geosetter is a free, cross-platform application used for organizing and geotagging images using their geographic coordinates and other metadata. It has an intuitive interface that allows users to:

  • Import photos from various devices like cameras or phones and read their existing metadata
  • View photos geo-positioned correctly on an integrated map for easy geotagging
  • Manually enter GPS coordinates or use a GPS tracking log to batch geotag multiple images
  • Edit and write geographic metadata like latitude, longitude, elevation, and location names
  • Assign descriptive tags to images and organize them into virtual folders
  • Export images complete with all metadata to services like Google Photos or Flickr

As an open source software, Geosetter is completely free to use across Windows, macOS, and Linux systems. It has an active development community adding new features and fixes. The integrated map view and batch editing capabilities make Geosetter a handy tool for any photographer looking to catalog and organize their photo library geographically.

Geosetter Features

Features

  1. Batch geotagging of images using GPS track logs
  2. Interactive map to view and manually tag photos
  3. Edit EXIF and IPTC metadata
  4. Automated renaming of files
  5. Face recognition and tagging
  6. Support for RAW formats

Pricing

  • Free
  • Open Source

Pros

Free and open source

Intuitive and easy to use interface

Powerful geotagging features

Active development and user community

Cons

Limited to Windows only

No mobile app

Steep learning curve for some advanced features


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