Overpass API

Road Network and Routing Analysis

Retrieve road network data for transportation planning, routing algorithms, or traffic analysis. Query highways, streets, and paths with Overpass QL, filtering by road type (primary, secondary, residential), surface, or access restrictions. Export ways with geometry and tags to build custom routing graphs, analyze network connectivity, or identify gaps in infrastructure. This supports logistics optimization, urban planning, and delivery route calculation.

Building Footprint and Land Use Mapping

Extract building polygons and land use data for GIS analysis, urban planning, or real estate applications. Query buildings by type (residential, commercial, industrial) or retrieve land use polygons (parks, forests, water bodies). Combine with other geospatial datasets to analyze density, zoning, or environmental impact. This powers property mapping tools, urban growth studies, and environmental monitoring dashboards.

Geospatial Data for Machine Learning

Build training datasets for machine learning models using OSM data retrieved via Overpass API. Extract labeled features like roads, buildings, landcover, and POIs to train computer vision models, route prediction algorithms, or location classifiers. The API's tag-based filtering allows precise dataset construction — retrieve only schools, hospitals, or specific building types for targeted model training.

AI Agent for Geospatial Queries

Let an AI agent handle Overpass API queries for geospatial data extraction. Through Jentic, the agent searches by intent ('find all restaurants in a city from OpenStreetMap') and generates the appropriate Overpass QL query. The API requires no authentication, simplifying integration.