Example: Fuzzy String Matcher and Near-Duplicate Finder

Created by

Aadam Ahmed

Actor

Fuzzy String Matcher and Near-Duplicate Finder

Match strings against a candidate list or group near-duplicates with Levenshtein, Jaro-Winkler, Dice or token-set similarity and a score threshold. Pure compute, no network, no AI.

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Fuzzy String Matcher and Near-Duplicate Finderfirebrick_zamia/fuzzy-string-matcher

Kind

Index

Query

Input

+8 fields

Input

Mode:match

Queries:Acme Corporation Ltd+3

Candidates:ACME Corp. Ltd.+4

Algorithm:token_set

Minimum score:0.6

Matches per query:2

Ignore case:true

Strip accents:true

Ignore punctuation:true

Collapse whitespace:true

Output fields

Kind

Index

Query

Input

Matched

Best match

Score

Cluster

Is canonical

Canonical

Similarity

Error

How it works

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