GeoFinderAI

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.