The internet is cluttered with data. Although more data is always a good thing, there is an emerging need to segregate and classify relevant data from junk. Fuzzy Find is an attempt to bridge the gap in development between typical search engines and in-browser search to provide an optimized in-browser search functionality. Fuzzy Find can match words on a page with a search query based on certain filters. - The frontend consists of a simple text field which pops up on pressing a keyboard shortcut (Alt-Shift-F). The user can enter his search in this field. - As the user types terms into this field, they will be filtered and processed to generate terms similar to the input. - As these terms are generated, the current page will be scanned for their presence. If found, they will be highlighted on the page and brought into view. FEATURES - Matching words on a page that share meaning similar to the query. - Matching words on a page that have similar phonetic sound. [Homophones] - Find words that are spelled similar to the query words. [Spell correction] - Querying for words that are strongly related/describe the query phrase. - Searching for words that are related to the query and start with a particular letter(s). - Words that often follow a term and start with a particular letter(s). This extension uses Datamuse API to process data - https://www.datamuse.com/api/.