Fuzzy Match
Your Ultimate Data Matching Solution!
Fuzzy Match launched on June 13, 2024 with 6 votes, #1,458 of 4,672 launches that month. The site was still online in September 2026, 2 years on.
What it does
Fuzzy Match employs is an advanced text matching techniques with cutting-edge machine learning algorithms to deliver accurate and efficient search results. The platform starts by accepting user-uploaded CSV or Excel files containing textual data.
Fuzzy Match utilizes cutting-edge machine learning algorithms to identify text similarities, detect typos, and accurately match names, addresses, and numbers. Streamline your data cleansing process and enhance data accuracy with our advanced matching technology.
Fuzzy Match employs a sophisticated methodology that combines advanced text matching techniques with cutting-edge machine learning algorithms to deliver accurate and efficient search results. The platform starts by accepting user-uploaded CSV or Excel files containing textual data. Upon receiving a search query, Fuzzy Match utilizes its machine learning models to analyze the query and identify relevant patterns within the dataset. Users have the flexibility to select specific columns for their search, and the search text can span multiple columns. Through fuzzy matching and semantic analysis, the platform intelligently compares the query against the selected columns, accounting for…from fuzzymatch.in
Does a similar job
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A fast, hopefully accurate, fuzzy matching library written in Go2018 · github.com · ▲186Go library that provides fuzzy string matching optimized for filenames and code symbols in the style of Sublime Text, VSCode, IntelliJ IDEA et al. - sahilm/fuzzy
uFuzzy.js – A tiny, efficient fuzzy search that doesn't suck2022 · github.com · ▲251Hello HN! I became frustrated with the unpredictible/poor match quality and opaqueness of "relevance scores" in existing fuzzy and fulltext search libs, so I tried something different and this is the result. The main selling point is the result quality / ordering, with best-in-class memory overhead and excellent performance being bonuses. The API is pretty stable at this point, but looking for feedback before committing to 1.0. TL;DR The test corpus is a 4MB json file with 162k words/phrases, so give it a second for initial download. You can also drag/drop your own…
Fuzzy search in 400B of JavaScript2015 · github.com · ▲25:crystal_ball: Tiny and blazing-fast fuzzy search in JavaScript - bevacqua/fuzzysearch
- SPSearchbase – Plug-n-play semantic/fuzzy search for your data2024 · searchbase.dev · ▲63
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Frontend Fuzzy Search2024 · github.com · ▲120I have spent several years working on search engines in the backend and have now utilized that experience to develop a fuzzy search library for the frontend. It's fast, accurate and can be used for all languages. It should be easy to integrate into your Javascript / Typescript projects. If you test it and find any edge cases that did not work for you please let me know. The implementation is based on 3-grams by the book, augmented with a novel trick of sorting the characters within the 3-grams for enhanced accuracy. For a detailed explanation you may refer to my related blog post at…
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