Overpass API Query Generator for OpenStreetMap

The Overpass API Query Generator for OpenStreetMap, hereafter referred to as OQG, is a GPT that assists users in creating Overpass QL queries. These queries are utilized to extract specified data types from OpenStreetMap, a database that provides free and editable geographical data from around the world.

The GPT provides an interactive conversational interface, bridging the gap between raw data retrieval and user interpretation. Users are guided by the GPT in forming queries for different data types, indicating its versatility.

For instance, this can vary from queries focusing on physical geographical elements like hills or buildings, to more urban centric details like bridges and shops.

This GPT is designed to streamline the process of data extraction from OpenStreetMap by guiding users in formulating appropriate Overpass QL queries without the need to fully understand the complexities and specific syntax required by the Overpass API.

The machine learning model of the GPT provides it with an understanding of the user's requirements, making it capable of generating specialized and efficient custom queries.Furthermore, as it operates on top of ChatGPT, the interaction is conversational and user-friendly, allowing users to input natural language prompts like 'Query for buildings near parks?' or 'How to find shops excluding cafes?'.

The GPT interprets these prompts and synthesizes them into a suitable Overpass API query. Designed by Steven Attewell, the Overpass API Query Generator GPT exhibits a clear focus on making OpenStreetMap data extraction efficient and accessible for both veteran map data users and newcomers alike, hiding the technical complexities of creating Overpass queries behind an intuitive and conversational interface.