GeoInfer Image Geolocation

AI image geolocation via visual analysis — no GPS or EXIF needed. Requires GEOINFER_API_KEY.

GeoInfer — AI Image Geolocation

🌍 Geolocate any image using AI — no GPS, no EXIF, no metadata required.

GeoInfer analyzes visual cues (architecture, terrain, vegetation, signage) to predict where a photo was taken, down to city level. Built for OSINT, digital forensics, investigative journalism, and security workflows.

Requires the GEOINFER_API_KEY environment variable.

Setup

1. Get your API key from app.geoinfer.com/en/api
2. Run: export GEOINFER_API_KEY="geo_your_key_here"

Tools

Predict Image Location

bash

bash scripts/predict.sh /path/to/image.jpg [model_id] [top_n]

• model_id — model to use (default: global_v0_1). Run models.sh to list available models.
• top_n — number of top predictions to return, 1–15 (default: 5)
• Accepts JPEG, PNG, WebP, and other common image formats (max 10MB)

Example:

bash

bash scripts/predict.sh photo.jpg global_v0_1 5

Output: JSON array of top location predictions with coordinates and confidence scores.

List Available Models

bash

bash scripts/models.sh

Returns all models available to your API key (e.g., Global, Car, Property, Accuracy).

Check Credits

bash

bash scripts/credits.sh

Returns your current credit balance.

Credit Costs

Model type	Credits per prediction
Global	1
Car	2
Property	3
Accuracy	3

Agent Usage Notes

• Always run models.sh first if unsure which model to use
• Prefer global_v0_1 for general-purpose geolocation
• Use top_n=1 for fastest single-answer responses; top_n=5 for investigations requiring confidence comparison
• Check credits before running large batch jobs
• Images must be local files — download remote images before passing to predict.sh