Cosine similarity (words)
ClientCompare documents by word overlap angle—ignores word order.
About Cosine similarity (words)
Cosine similarity of word bags between two texts. 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.
81.6%
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.
- Levenshtein similarity ratio — 1 − normalized edit distance between two strings. for the next text or markup step in your edit loop.
- Word frequency list — List word counts sorted by frequency—paste text for a local corpus snapshot. for the next text or markup step in your edit loop.
- Plain text diff — Compare two text drafts side by side—unified view, sample pre-filled, client-side. for the next text or markup step in your edit loop.
Common use cases
- Cosine similarity (words) 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.
Levenshtein similarity ratio
Client1 − normalized edit distance between two strings.
Word frequency list
ClientList word counts sorted by frequency—paste text for a local corpus snapshot.
Plain text diff
ClientCompare two text drafts side by side—unified view, sample pre-filled, client-side.