1) Input
Upload one outdoor photo and optionally add text clues like country, weather, language signs, or landmarks.
Intelligence Lab
The Science of Location
How we turn visual pixels into geographic coordinates using advanced architecture and vegetation analysis.
2) Process
WhereLens extracts visual features and compares them with known regional patterns from architecture, terrain, and signage.
3) Output
You get ranked location candidates, confidence scores, and explainable evidence so you can verify results quickly.
01
travel_explore
Visual Feature Extraction
Our engine scans the image for architectural styles, street signs, plant species, and lighting conditions.
domain
Architecture
nature
Flora & Terrain
02
database
Cross-Reference Matching
Extracted features are compared against our global database of cityscapes and natural landmarks.
03
analytics
Confidence Scoring
We calculate a probability score based on the uniqueness and combination of the matched features.
Location Match
94%
Texture
88%
Layout
92%
What Improves Result Quality
- Use outdoor photos with clear buildings, roads, signs, terrain, or coastline.
- Add concise clues instead of long paragraphs, for example “Japanese signs” or “coastal rainy weather”.
- Treat outputs as probabilistic suggestions and cross-check with maps before making decisions.