With that information, there's enough identify the address, and it can be considered "deliverable" (with some standardization). Number 1 is complete because it contains a street address and a city and state. Punctuation and line breaks not guaranteed. Here are some contrived (but complete) addresses: 1) 102 main streetĮven these are possibly valid: 4) 829 LKSDFJlkjsdflkjsdljf Bkpw 12345 Addresses come in unexpected shapes and sizes But you could probably roll your own if you're really into that. You'd need some code that really understands addresses, and if that code does exist, it's a trade secret. (Who knew that "Stravenue" was a street suffix?) Words can mean more than one thing ("St" can be "Saint" or "Street") and there are words that I'm pretty sure they invented. Worst of all, addresses are often ambiguous. USPS Publication 28 documents the many formats of addresses that are possible, with all their keywords and variations. In theory and by theory, it's not possible to match addresses with a regular expression. There isn't an easy magic formula to get this to work. I don't recommend these (for example, here's a fiddle of the above regex, that makes plenty of mistakes). to this where a 900+ line-class file generates a supermassive regular expression on the fly to match even more. I've seen it all, from simple regular expressions that match addresses in a very specific format, to this: This means that regular expressions are out. The company I was at processed billions of addresses, and we learned a lot in the process.įirst, we need to understand a few things about addresses. I'm posting the answer here to make it more accessible to programmers who are searching around with the same question. I saw this question a lot when I worked for an address verification company. Is there a way to isolate an address from the text around it and break it into pieces? Is there a regular expression to parse addresses? How can i show a pre populated postal address in contacts screen with street, city, zip on android.More efficient way to extract address components.How do I parse the free format address to save into the DataBase.Google can do this but the Terms of Service and query limits are prohibitive, especially on a tight budget.Users may enter more than just their address (like their name or company with it).The address must be separated into parts (street, city, state, etc.) to process credit card payments.The address the user types may not be correct or in a standard format.We do business largely in the United States and are trying to improve user experience by combining all the address fields into a single text area.
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