Drop in any photo and Geotrail's AI reads the visual clues — architecture, signage, terrain, even the light — to estimate where it was taken. Free, instant, no account needed.
Learn More →Upload a photo to detect its location. Our AI technology works best with clear images of landmarks, buildings, or distinctive landscapes.
Supported formats: JPG, PNG, WEBP (Max 10MB)
Three layers of analysis run every time you upload a photo.
We scan for architecture, signage, vegetation, and landmarks — the same details a well-traveled friend would notice first.
From world-famous landmarks to lesser-known local architecture, our model has been exposed to places across every continent.
Get a ranked estimate — country, city, and coordinates — along with a plain-English explanation of how we got there.
Three simple steps stand between your photo and a location estimate.
Choose any photo of a place, building, or landmark. Clear, well-lit shots with visible detail work best.
Already know something — a region, a language on a sign, a building style? Add it in and we'll narrow the search.
Within seconds, see our best estimate for country, city, and nearby landmarks, plus a confidence score and a map link.
A vision model trained on large sets of geotagged images reads architecture, terrain, and landmarks in every photo.
Visual patterns are cross-referenced against known locations worldwide to narrow down a match.
Coverage spans famous landmarks and everyday streetscapes alike, not just tourist hotspots.
Accuracy rates are approximate and may vary based on image quality and location uniqueness.
Use clear, well-lit photos with good resolution.
Include distinctive buildings or landmarks when possible.
Provide any known details about the location.
If available, try uploading photos from different angles.
Not ready to upload your own photo? Pick one of these well-known landmarks and see what Geotrail detects.

A lattice-ironwork tower rising above the Champ de Mars — one of the most recognizable silhouettes in the world, and an easy win for landmark detection.




