Jaro–Winkler similarity

Client

Jaro–Winkler favors matching prefixes—common for record linkage.

About Jaro–Winkler similarity

Fuzzy string match score 0–100% for names and typos. The interactive transform on this page runs in your browser tab—Toolcore does not need your paste for the core operation described above.

How to use this page

Paste or type in the main workspace, run the primary action from the toolbar, then copy or download the result. Use Load example when the page offers it, or URL prefill (?q= / ?qb=) so agents and tickets open the same input.

96.1%

Nearby workflows on Toolcore

  • Levenshtein similarity ratio1 − normalized edit distance between two strings. for the next text or markup step in your edit loop.
  • Soundex encoderAmerican Soundex phonetic codes for ASCII names—Robert/Rupert-style matching in your browser. for the next text or markup step in your edit loop.
  • Levenshtein distanceCompare two strings for edit distance and similarity score—local Levenshtein calculator. for the next text or markup step in your edit loop.
  • Anagram checkerCompare two strings for anagrams—optional ignore case and spaces—sorted letter match in your browser. for the next text or markup step in your edit loop.

Common use cases

  • Jaro–Winkler similarity for quick local checks without uploading data.
  • Copy results into tickets, docs, or classroom notes.

Common mistakes to avoid

  • Unexpected input shape

    See the intro and how-to notes for accepted formats.

FAQ

Is processing local?

Yes—this runs entirely in your browser.

Agent prefill?

Use q or qb for the main text field when supported.

Related utilities you can open in another tab—mostly client-side.