Normalized edit distance
ClientLevenshtein distance divided by max length.
0.429 normalized edit distance (3 edits)
Nearby workflows on Toolcore
- Levenshtein distance — Compare two strings for edit distance and similarity score—local Levenshtein calculator. for the next text or markup step in your edit loop.
- Jaccard similarity — Word-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 ratio — Character overlap ratio between two strings. for the next text or markup step in your edit loop.
- Token sort ratio — Fuzzy 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.
More tools
Related utilities you can open in another tab—mostly client-side.
Levenshtein distance
ClientCompare two strings for edit distance and similarity score—local Levenshtein calculator.
Jaccard similarity
ClientWord-token Jaccard index between two texts—optional case folding, in your browser.
Simple character ratio
ClientCharacter overlap ratio between two strings.
Token sort ratio
ClientFuzzy ratio after sorting word tokens (FuzzyWuzzy-style).