Sørensen-Dice similarity coefficient in [0,1] over character bigrams — robust to word order and minor edits.
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Sørensen-Dice similarity coefficient in [0,1] over character bigrams — robust to word order and minor edits.
https://similarity.openverbs.com/v1/diceDamerau-Levenshtein distance — like Levenshtein but also counts adjacent transpositions as a single edit — plus a normalized similarity in [0,1].
https://similarity.openverbs.com/v1/damerauHamming distance — the number of positions at which two EQUAL-LENGTH strings differ — plus a normalized similarity. Strings of unequal length are a clean 400.
https://similarity.openverbs.com/v1/hammingLevenshtein edit distance (insertions, deletions, substitutions) between two strings, plus a normalized similarity in [0,1]. Operates on Unicode code points.
https://similarity.openverbs.com/v1/levenshteinJaccard similarity index in [0,1] — the size of the intersection over the union of the two strings' character-bigram sets.
https://similarity.openverbs.com/v1/jaccardReport whether two tokens sound alike under a chosen algorithm (soundex, metaphone or double-metaphone; default double-metaphone). Returns each token's codes and a boolean match.
https://similarity.openverbs.com/v1/compareEncode a word with the classic Soundex algorithm (letter + 3 digits) for phonetic matching of names.
https://similarity.openverbs.com/v1/soundexEncode a word with the Metaphone algorithm — more accurate than Soundex for English pronunciation.
https://similarity.openverbs.com/v1/metaphoneEncode a word with Double Metaphone, returning a primary and a secondary code to capture alternate pronunciations (useful for non-English names).
https://similarity.openverbs.com/v1/double-metaphoneJaro similarity and the Jaro-Winkler variant (which boosts scores for a shared prefix), both in [0,1]. The prefix boost factor is configurable (default 0.1, max 0.25). Well suited to short strings li…
https://similarity.openverbs.com/v1/jaro