We developed the open-source software package BlockDates using the Julia programming language to allow the extraction of fuzzy-matched dates from a block of text. The tool leverages contextual information and draws on external date data to find the best date matches. For each identified date, multiple interpretations are proposed and scored to find the best fit. The output includes several record-level variables that help explain the result and prioritize error detection.