Tversky similarity
Asymmetric-friendly overlap near Jaccard pages.
Client0.667 (Tversky α=β=0.5)
Nearby workflows on Toolcore
- 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.
- Sørensen–Dice similarity — Compare two texts with Sørensen–Dice coefficient on word tokens. for the next text or markup step in your edit loop.
- Overlap coefficient — Overlap similarity on word sets—textA|textB. for the next text or markup step in your edit loop.
- 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.
Common use cases
- Tversky 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.
More tools
Related utilities you can open in another tab—mostly client-side.
Jaccard similarity
ClientWord-token Jaccard index between two texts—optional case folding, in your browser.
Sørensen–Dice similarity
ClientCompare two texts with Sørensen–Dice coefficient on word tokens.
Overlap coefficient
ClientOverlap similarity on word sets—textA|textB.
Levenshtein distance
ClientCompare two strings for edit distance and similarity score—local Levenshtein calculator.