Which extraction method uses Regular Expressions to extract values?

The Regex Extractor is designed to leverage the power of Regular Expressions (regex) to identify and extract specific patterns from unstructured or semi-structured text data. Regular Expressions are sequences of characters that form a search pattern, making them ideal for tasks involving text parsing and value extraction.

In the context of data extraction, the Regex Extractor can be particularly useful when dealing with varied formats of data or when specific patterns need to be identified within a larger body of text. For example, if you need to extract email addresses, dates, or other formatted data from a larger dataset, regex allows you to specify the exact pattern to match, which can lead to more accurate results compared to other methods.

The other extraction methods mentioned have their unique purposes. Form Extractor is typically used for extracting data from structured forms, while Forms AI utilizes machine learning to handle form extraction in a more flexible manner. Semi-Structured AI deals with documents that have a mix of structured elements but do not primarily rely on regex for extraction. Thus, the Regex Extractor stands out for its specificity in using Regular Expressions for value extraction.