I need a simple score that tells me how similar two strings are so I can set a clear matching threshold.

Provide a numeric similarity score between two strings so users can quickly gauge how close they match. This makes it easy to define and apply a clear threshold for automated matching and deduplication.

This feature calculates a simple, consistent similarity score for any two input strings. The score is designed to be easy to interpret, enabling users to set a clear cutoff value for determining whether two strings should be considered a match. Users can supply two strings and receive a single numeric result that can be stored, compared, and used in downstream logic. This supports common workflows such as record linkage, duplicate detection, and fuzzy search refinement. By relying on a standardized score, teams can align on what “close enough” means and reduce subjective judgment during reviews. The score can be used to automatically accept matches above a threshold, reject those below it, and route borderline cases for manual verification. It also helps tune matching rules over time by monitoring how the score correlates with true matches in real data. The output can be embedded into pipelines, validation steps, or UI displays to make matching decisions transparent. Overall, it provides a straightforward way to operationalize string similarity with minimal configuration.