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Jaro-Winkler Distance
Measure string similarity with extra weight for matching prefixes — ideal for name matching in entity resolution.
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Similarity Score
0.9692
Match
How it works
Jaro-Winkler is a variant of the Jaro similarity that gives additional weight to matching characters at the beginning of strings. This makes it particularly effective for name matching, where the first few characters are often the most reliable (e.g., "Robert" vs "Rob" share the prefix "Rob"). The score ranges from 0 (no similarity) to 1 (exact match). Values above 0.85 typically indicate a strong match.
Use cases in entity resolution
Related tools
Levenshtein Distance
Calculate the minimum number of single-character edits (insertions, deletions, substitutions) needed to transform one string into another.
Jaro Similarity
Calculate the Jaro similarity between two strings — a foundational metric in record linkage and deduplication.
Soundex Phonetic Algorithm
Encode strings by their phonetic sound — names that sound alike produce the same Soundex code.
Don't implement this yourself
Tilores combines all these algorithms with configurable matching rules and production-ready infrastructure. Skip the implementation — see it working with your own data.