Find location
from image.
Find Location from Image is an AI photo location finder. It first checks the photo for GPS metadata; when there is none, a vision AI model estimates where it was taken from landmarks, buildings, and landscapes. Upload a JPG, PNG, or WebP to get coordinates and location clues.
ONE PHOTO. A WHOLE STORY.Where was this photo taken?
Drop in a photo. Discover the place behind it.
A photo is all you need.
Our AI photo location finder looks for the details that connect your image to a place.
- A likely city and country
- Coordinates to explore on a map
- Visual clues behind the prediction
Find location from image in three simple steps
Upload one photo. We read its GPS metadata if present, otherwise AI analyzes the scene; then check the place and coordinates on a map.
- 01
Upload your image
A travel photo, a saved screenshot, or a place you’ve always wanted to find. Start with one clear image.
- 02
Let AI connect the dots
We check for GPS metadata first. If there is none, a vision AI model analyzes architecture, landscapes, and other visual details to suggest where the photo was taken.
- 03
Put a place to the picture
Explore the suggested location, review the visual clues, and open the coordinates on a map.
See the world through a different lens.
These are prepared demonstrations with illustrative coordinates, not live predictions or accuracy benchmarks.
AI photo geolocation vs. GPS metadata
Photo geolocation means identifying where an image was taken. EXIF GPS metadata records coordinates in the image file when the camera saves them; visual AI estimates a place from the scene. This finder checks GPS metadata first and uses visual AI only when no GPS tags are present.
| What to compare | Visual AI (fallback) | EXIF GPS metadata (checked first) |
|---|---|---|
| What it needs | Visible surroundings in a JPG, PNG, or WebP, up to 10 MB | A photo file containing GPS latitude and longitude tags |
| How it works | Predicts a place from buildings, terrain, vegetation, and landmarks | Reads coordinates recorded by a camera or editing software |
| What to verify | The predicted coordinates may be wrong; compare the scene on a map | Tags may be missing or edited; they do not prove where a photo was taken |
AI coordinates are estimates, not an accuracy guarantee. Our examples are demonstrations; we have not published an independent accuracy benchmark.
Photo location finder: common questions
Here’s what to know before you find a location from an image.
How can AI find a location from an image?
First we read any GPS coordinates stored in the photo’s EXIF metadata. If there are none, a vision AI model analyzes visible details such as buildings, terrain, vegetation, signage, and landmarks to estimate a likely location, with coordinates and an explanation of the clues it used.
Does my photo need GPS or EXIF data?
No. GPS metadata is used when it exists, but the AI can still suggest a location from the image itself, which helps with screenshots and photos shared online where GPS data is usually removed.
How accurate is the image location finder?
There is no single accuracy rate for all photos. Results vary with the scene and image quality. Distinctive landmarks and outdoor scenes offer useful clues, while close-ups and plain interiors can be ambiguous. Treat the coordinates as predictions and verify them on a map.
Which image formats can I upload?
You can upload one JPG, PNG, or WebP image up to 10 MB. For HEIC photos, export or convert the image to JPG first. Clear, uncropped photos with plenty of surroundings tend to be more useful.
Are my uploaded photos stored?
This website does not save uploaded photos or results. GPS metadata is read on our server. Photos without GPS data are sent to our AI provider (OpenRouter, which routes to the model vendor) for processing. Payments are handled by Stripe. Map previews are loaded from OpenStreetMap only when you choose to view them.
What kinds of photos work best?
Try outdoor photos with recognizable buildings, street layouts, landscapes, or landmarks. Blurry images, heavily edited photos, and pictures with very little background may not provide enough detail for a useful location prediction.
Go on. Find out where.
Turn “where is this?” into your next discovery.