GeoFinderAI estimates the approximate location of a photo from a single image. Upload a picture and the model analyzes visual details to return coordinates and a confidence area on a map.
How it finds a location
GeoFinderAI uses computer vision signals such as:
- Architecture and building styles
- Landscape and terrain
- Road signs and lane markings
- Language on storefront signs
- Other scene elements that can indicate region or country
Based on these cues, it proposes a point on the map and shows a radius where the photo was most likely taken.
Formats, limits, and typical use cases
Supported formats include:
- JPEG, PNG, GIF, BMP, WebP (up to 10 MB)
Common scenarios:
- Travelers trying to identify where an old photo was taken
- Researchers and OSINT analysts working from limited context
- Content creators organizing or verifying photo locations
Usage model
New users get a few free runs to test accuracy. After that, each analysis attempt consumes tokens, helping manage usage intensity and system load.
