Agentic AI model for visual geolocation that combines image analysis with live web search to pinpoint where a photo was taken. It uses an image-zoom tool to inspect details and a web-search tool to validate hypotheses trained on GeoBench, a new benchmark of global photos, panoramas, and satellite imagery. Outperforms open-source models and rivals GPT-5/Gemini…
A geospatial monitoring platform that tracks global movement in real time. It aggregates ship and flight routes, live coordinates, and geodata into a unified system, providing clear geographic and geopolitical awareness for analysis, visualization, and decision-making. https://github.com/h9zdev/GeoSentinel/
A geospatial OSINT tool that enables powerful text-based searches across OpenStreetMap—locate points of interest, infrastructure, or landmarks using natural language queries and precise geographic filters. https://www.findthatspot.io
AI-powered geolocation OSINT tool that analyzes uploaded images to identify potential real-world locations. Uses Gemini API to find visually similar imagery, extract geographic clues, and support open-source verification workflows. https://geointelligence.vercel.app
The satellite time machine: Satellite and map time machine from Esri that lets you explore historical imagery and geographic changes across decades. https://livingatlas.arcgis.com/wayback
A powerful satellite-powered platform by SkyTruth that detects and tracks ocean pollution, including oil spills and bilge dumping, using AI and remote sensing. https://cerulean.skytruth.org/
Geospatial tool that simulates sun shadows for any time and place on Earth; determine the time a photo or video was taken by matching observed shadows with simulation data. https://shademap.app
Online OSINT tool to determine the exact time and date a Google Street View panorama was captured, often with an accuracy of up to 2 seconds. Input the full panorama URL to uncover crucial temporal data for geo-location analysis and verification. https://pano-date.emily.bz/
Free AI Photo Locator and Image Location Finder that uses advanced machine learning and reverse image geolocation to analyze visual elements (landmarks, architecture, vegetation) and determine where any photo was taken, even without GPS metadata. https://www.whereisthisphoto.com/
Python-based AI tool that leverages Google’s Gemini API to perform advanced geo-location analysis on images. It accurately uncovers the location where photos were taken by analyzing visual cues, generating coordinates, confidence levels, and direct Google Maps links. https://github.com/atiilla/GeoIntel