Free Tool

Jaro-Winkler Distance

Measure string similarity with extra weight for matching prefixes — ideal for name matching in entity resolution.

Tilores uses Jaro-Winkler in production — so you can automate matching with rules you configure.

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Try it yourself

String A

String B

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

Customer name matching

Duplicate detection in CRMs

Identity verification

Record linkage across databases

Related tools

Levenshtein Distance

Calculate the minimum number of single-character edits (insertions, deletions, substitutions) needed to transform one string into another.

Soundex Phonetic Algorithm

Encode strings by their phonetic sound — names that sound alike produce the same Soundex code.

Don't implement this yourself

Tilores Studio runs the full matching engine — this algorithm plus configurable rules and real-time entity resolution — locally on your machine. Free, no account, no cloud. Load your own data and see it working in minutes.

Download Tilores Studio