Normalized edit distance

Client

Levenshtein distance divided by max length.

0.429 normalized edit distance (3 edits)

Nearby workflows on Toolcore

  • Levenshtein distanceCompare two strings for edit distance and similarity score—local Levenshtein calculator. for the next text or markup step in your edit loop.
  • Jaccard similarityWord-token Jaccard index between two texts—optional case folding, in your browser. for the next text or markup step in your edit loop.
  • Simple character ratioCharacter overlap ratio between two strings. for the next text or markup step in your edit loop.
  • Token sort ratioFuzzy ratio after sorting word tokens (FuzzyWuzzy-style). for the next text or markup step in your edit loop.

About this tool

Scale-invariant edit distance beside Levenshtein.

Common use cases

  • Normalized edit distance 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.