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libpostal

libpostal is a C library that leverages statistical Natural Language Processing (NLP) and open geospatial data to parse and normalize street addresses from around the world. It converts free-form human addresses into clean, machine-comparable formats, serving as a crucial preprocessing step for geocoding applications.

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libpostal is a C library specifically engineered for parsing and normalizing street addresses across the globe. It harnesses the power of statistical Natural Language Processing (NLP) and open geospatial data to accurately interpret location-based strings in virtually any language. The primary objective of this project is to transform the often inconsistent and free-form addresses provided by humans into clean, standardized formats. This normalization process makes addresses highly suitable for machine comparison, efficient database indexing, and improved search functionalities.

While libpostal does not perform full geocoding independently, it serves as a critical preprocessing layer that significantly enhances the performance and reliability of existing geocoding applications. Its design is based on in-depth research, as evidenced by comprehensive blog posts detailing its approach to statistical NLP on OpenStreetMap data. The library aims to bridge the gap between human-entered address data and machine-readable formats, supporting a wide range of applications from logistics and navigation to data analysis and mapping services by making address information universally understandable and actionable across diverse regional conventions and abbreviations. This robust capability is essential for any application dealing with maps, transportation, or delivery services, where precise and standardized address data is paramount for effective indexing and querying.

Disclaimer: We do not guarantee the accuracy of this information. Our documentation of this website on Geospatial Catalog does not represent any association between Geospatial Catalog and this listing. This summary may contain errors or inaccuracies.

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