Fuzzy matching is a technique for identifying text elements that partially match a given sentence or section of text. The use of fuzzy matching techniques is common in computer science, identity verification, and a variety of other fields, enabling better business outcomes while allowing natural human behavior to express itself online.
Fuzzy matching can improve match results and accuracy by allowing tolerance for typos, miskeys, nicknames, and cultural naming variations. This flexibility, along with advanced search logic, improves performance.
Socure uses a proprietary set of fuzzy matching techniques consisting of dynamic edit-based, token-based, sequence-based, and phonetic-based algorithms.