2.90:Fuzzy RegEx (Concept)

Fuzzy RegEx (also referred to as "fuzzy matching" or "fuzzy mode" or even just "fuzzy") allows regular expression patterns to match text within a set percentage of similarity. This can allow Grooper users to overcome unpredictable OCR errors when extracting data from documents.

Typically, regular expression will either match a string of text or it won't. If you're trying to match a word and the regex pattern is even a single character off from the text data, you will not return a result.

Fuzzy RegEx uses a Levenshtein distance equation to measure the difference between the regular expression and potential text matches. The percentage difference between the regex pattern and the matched text is expressed as a "confidence score" (also as a percentage). If the confidence is above a set threshold, the result is returned. If it is below the threshold, it is discarded.

For example, a text string that is 95% similar to the regex pattern may be off by just a single character. If the Minimum Similarity threshold is set to 90% the result would be returned, even thought the pattern doesn't match the text exactly.

About

Fuzzy RegEx is a Match Mode option for an extractor's regular expression pattern. Any time you can get to a "Pattern Editor" in Grooper you can take advantage of Fuzzy RegEx including: When configuring a Data Format When configuring the Pattern property of a Data Type When choosing the Internal option for various extractors in a property panel and configuring its Pattern property When choosing the Text Pattern option for various extractors in a property panel and configuring its Pattern property In the "Pattern Editor", you can enable Fuzzy RegEx in two steps: Navigate to the "Properties" tab. Select the Mode property and choose Fuzzy RegEx