I can’t tell whether small spelling variations refer to the same entity, and I need a similarity score to guide decisions.

This feature helps you compare two names or text strings that may differ by small spelling variations and produces a similarity score. The score supports consistent, faster decisions when determining whether variations likely refer to the same entity.

This feature is designed for situations where small spelling differences make it hard to judge whether two references point to the same entity. It generates a similarity score that quantifies how close two strings are, helping you move from subjective guesswork to a repeatable decision process. You use it by providing the two values you want to compare (for example, two organization names, person names, or location names), then reviewing the score as an indicator of likely match strength. The score can be used to set practical thresholds for your workflow, such as auto-accepting very high similarity, flagging borderline cases for review, and rejecting low similarity. It supports common data-quality tasks like deduplication, record linkage, and cleanup of inconsistent entries across systems. It is particularly useful when differences come from typos, alternate spellings, missing punctuation, abbreviations, or spacing changes. By standardizing comparisons with a numeric score, teams can improve consistency across reviewers and reduce time spent on manual inspection. The feature can also be used to prioritize which potential matches to review first by sorting candidates by similarity. Overall, it helps you make clearer, auditable decisions about whether two slightly different spellings refer to the same entity.