Why this tool is useful
Use Jaccard similarity to compare tag lists, keyword coverage or topic vocabularies when repeated occurrences should not add weight.
Text & List Tools · runs locally
Jaccard Word Similarity Calculator
Compare the unique normalized word sets in two texts as intersection divided by union with visible set counts.
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How it works
Each input is NFKC-normalized, lowercased and tokenized into Unicode letter-or-number words before exact set intersection and union are counted.
Practical example
red blue and blue green share one of three unique combined words, so their Jaccard similarity is 1/3.
Validation
The calculation is deterministic and explains validation errors instead of silently changing invalid input.
Privacy boundary
Input and output remain in this tab. Copy and download happen through browser APIs without a server upload.
Result passport
Every run reports its tool mode, timestamp and input/output size so transformed data can be audited.