arrow-rShape:: design:: donations:: engeneering:: fund:: mkt:: office:: other:: office supplies:: office supplies:: team2:: travel:: web services@2x:: icon (donation done):: icon (donation done):: symbol:: typeE8DE4586-5F42-41C1-89FC-4DA35F86795DB0F81F5F-A9B2-4673-84CA-94419A382DB0

Hi! This is the libpostal open collective.

We are on a mission to understand location around the world, in every language, using statistical NLP and open data.

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We are libpostal

Addresses and the locations they represent are essential for any application dealing with maps (place search, transportation, on-demand/delivery services, check-ins, reviews). Yet even the simplest addresses are packed with local conventions, abbreviations and often highly ambiguous, making them difficult to index/query effectively with traditional full-text search engines. Libpostal helps convert the free-form addresses/places that humans use into clean, parsed, normalized forms suitable for machine comparison and full-text indexing.

The core library is written in pure C. Language bindings for Python, Ruby, Go, Java, PHP, and NodeJS are officially supported and it's easy to write bindings in other languages.

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This is possible thanks to all these people and organizations who contribute their time and/or money to support this collective. Contribute too!