SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
-
Updated
Jul 4, 2026 - C#
8000
SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
The fastest .Net Levenshtein around
Typo-tolerant, in-memory autocomplete for .NET
A high-throughput C# implementation of the Myers bit-parallel Levenshtein distance algorithm, optimized for ASCII patterns up to 64 characters
fuzzy data matching
Simple fuzzy search for unity
Automates Fall Guys Name Rerolling
TextRadar - fuzzy search technology (underlying approaches demonstration)
A .NET library for fuzzy matching of structured data records
This project provides a search engine built on Elasticsearch for indexing and searching documents with advanced features like fuzzy search, weighted fields, and automatic enrichment of metadata such as transliteration tags.
CSS style de-duplicator. Finds duplicate/overlapping CSS styles using fuzzy matching for removal or consolidation.
A set of assorted helper functions, extensions and classes in .NET Standard
FuzzyScorer is a .NET library that analyzes text and scores words by frequency or visual similarity using Levenshtein distance, making it ideal for word clouds, typo handling, and fuzzy matching in applications like surveys, OCR correction, and spam filtering.
Lightweight .NET fuzzy string matching library with intelligent scoring for search-as-you-type, command palettes, and flexible string matching applications.
C# Soundex adaptation with Turkish character handling, deterministic integer phonetic keys, and hash-based candidate matching.
To-do list app in C# using a SQLite database for local storage.
Keyboard‑aware Damerau‑Levenshtein for .NET: detects real typos using key proximity and finds the best match fast.
MessageEstimator, yazım hatalarına toleranslı mesaj sınıflandırma yaklaşımını göstermek için hazırlanmış bir projesidir. Açıklamada bulunan makalelere örnek amaçlı hazırlanmıştır.
Nederlandse fonetische en fuzzy string-matching voor .NET - klinkt-als vergelijking van namen, adressen en vrije tekst. Geen dependencies.
Add a description, image, and links to the fuzzy-matching topic page so that developers can more easily learn about it.
To associate your repository with the fuzzy-matching topic, visit your repo's landing page and select "manage topics."