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Infer photo locations locally from EXIF and visual clues, privately offline.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "locateanything" yet — see the docs or source repo.
Read the photo’s EXIF GPS data and combine it with visual clues such as buildings, road signs, terrain, and vegetation to infer the most likely shooting location offline. Provide the conclusion, confidence level, and reasoning.
A most likely location result with supporting evidence and a confidence explanation.
This image has no usable GPS metadata. Based only on visible text, road signs, architectural style, weather, and natural environment, infer the possible country, city, or region, and list the top three candidate locations.
A ranked list of candidate locations with the key clues for each one.
Analyze whether this set of photos was taken in similar locations under a fully offline, no-upload workflow. First extract each image’s EXIF and visual clues, then determine whether they come from the same region and summarize the shared evidence.
Location judgments for each photo and an overall conclusion on whether they belong to the same region.
Convert coordinates or place names into regions, boundaries, and centroids.
Convert coordinates into the deepest administrative loc_id and full parent hierarchy.
Look up IP geolocation, network ownership, and related details for analysis.
Automate Geoapify geocoding, place search, and map data workflows via Rube MCP
Query India's open geospatial data with location, filtering, and nearby search.
Lets AI find IP locations, reverse geocode, and detect public IPs.