Fuzzy matching, which is also known as approximate string matching, is a method of matching patterns approximately rather than exactly. Put simply, the process of fuzzy matching ensures that mistakes in a typed address are fixed in real-time by identifying and correcting common typos.

Using natural language processing, a form of AI, fuzzy matching takes place after two letters have been typed when an exact match has not been found.

Fuzzy matching helps resolve issues with incorrect punctuation, extra words being added, and missing spaces in postcodes. 

How Fuzzy Matching works with Loqate

Fuzzy matching in our Capture product offers assistance by generating addresses even when there are mistakes in the way that it is typed, which is especially helpful for addresses that are tricky to spell (e.g. addresses in another region or country). Furthermore, fuzzy matching reduces keystrokes as the process of string matching is keyed to recognise patterns rather than specific words, and as a result, results can be generated as soon as a pattern is recognised instead of when a full word is typed. 

Learn more: What is fuzzy matching?