GeoAxis finds where a photo was taken by reasoning over the image itself: architecture, vegetation, terrain, signage, road markings. It needs no GPS coordinates or EXIF metadata, so it works on screenshots, social uploads, and cropped photos. Here is the whole workflow.
Upload a photo, pick a mode, and GeoAxis returns the location with a confidence band and visual evidence. No GPS data required. Start free.
Step 1: Upload Your Image
Open the dashboard and drag your photo onto the upload tile. GeoAxis accepts JPEG, PNG, WebP, and HEIC, and you can attach up to four images of the same scene on one Global Search run. Reasoning across multiple frames is the single biggest accuracy unlock.
- Crop tight to the distinctive scene. Keep the building, signage, or terrain that names the place; drop sky, hands, and foreground subjects.
- Daylight outdoor shots resolve most easily.
- Avoid heavy filters that shift the colour of sky, terrain, or buildings.
Step 2: Pick Global Search or City Search
Global Search
Use this when you do not know where the photo was taken. GeoAxis reasons over the whole planet and returns ranked candidates with evidence pins. This is the default mode.
City Search
Use this when you already know the city. GeoAxis matches your photo against the city’s indexed street-level imagery for a meter-level pin. Every account includes free City Search runs.
Effort Slider
In Global Search, each Effort level is one or more passes through our custom-trained geolocation model: Low is a single pass (~35 s), Medium two parallel passes (~50 s, the default), High four (~80 s). Higher Effort almost always tightens the result on hard photos.
Context Field
Anything you type above the Analyze button is fed to the model alongside the image: “taken near a tram line”, “the sign was in Spanish”. Even a one-line hint tightens the confidence band.
Step 3: Read the Result
- The pin. The best guess, on a map you can zoom and switch to satellite.
- The confidence band. A radius where the AI is confident the photo was taken. Smaller is better.
- The evidence pins. The visual cues the model used, so the result is explainable rather than a black box.
- Candidate alternatives. If two places are plausible, both are ranked; click each to see why.
Troubleshooting
“The result is too broad.”
Raise the Effort slider to High, add a hint to the Context field, or switch to City Search if you know the city.
“The result is wrong.”
Re-crop to the distinctive scene. If the photo is of a car or a person, crop the subject out and keep the buildings or terrain behind it; that is where the location signal lives.
“My run is taking too long.”
Latency scales with Effort: ~35 s on Low, ~50 s on Medium, ~80 s on High. Paid plans get priority queue access.
Common Use Cases
- OSINT and journalism: verify where a photo was taken before publishing.
- Insurance: confirm the location of a claim photo.
- Real estate: geolocate listing photos against the advertised address.
- Law enforcement: speed up image geolocation in active investigations.
- Travel: find the location of a postcard or a holiday snap.
Ready to Try It?
Open the dashboard and run your first searches free. For how GeoAxis compares against GPT 5.4, Grok 4, and Claude Opus 4.7 on Dataset-GSS, read the GeoAxis Version 3.0 post, or see the best AI image location finders ranking.
GeoAxis