Link in varied data sources to unify records
Industry’s fastest matching and deduplication
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What sets the WinPure Fuzzy Matching Tool apart from others?

Fuzzy Matching Benefits

  • Create duplicate free data you can trust for better decision making.
  • Match bought-in data to make sure you don’t send existing customers offers intended for new customers.
  • Avoid wasted direct marketing spend and upsetting customers by sending duplicate mail.

Fuzzy Matching Features

  • Create single or multi level matching definitions.
  • Match on anything – not just name and address, but email, phone number, date of birth, account number etc.
  • Lightning speed processing due to entirely in-memory and scales automatically across multiple processor.
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Match your data with ease & sophistication

Superfast intelligent fuzzy matching

WinPure Fuzzy Matching Software will find the truest matches with the least false matches thanks both to its intelligent data matching engine and combining it with the in-built knowledge base library system.

  • Non-Phonetic Fuzzy Matching – To match keying errors and transpositions (such as Sandler and Sander) and reading errors (such as Naylor and Maylor).
  • Firstname Nickname Matching – Identify near-matching person names, initials and even nicknames like Dave & David, Bob & Robert, Debora for Debra, etc.
  • Company Name Matching – Advanced methods to identify company names with different definitions (eg. Flowers Limited = Flowers LTD, Marketing World PLC = Marketing World, etc).
  • Street Address Matching to identify matching addresses with different abbreviations. For example, 10 Main Street would match against 10 Main Str, 25 Park Road would match against 25 Park Rd, etc.

Connects to all popular files, databases & CRM's

Import / Export files, databases & CRM’s including Text/CSV, Excel, XML, SQL Server, Oracle, MySQL, MS Access, MS Azure, Salesforce & more.


WinPure provides instant access to data of any kind with out-of-the-box connectors to everything from personal spreadsheets to enterprise data warehouses and massive big data systems.

Free Demo

Deduplication Software action snapshot

Complete set of data matching tools

Fuzzy matching made easy

Duplicate matches are beautifully presented with individual scores and many tools are included to help with merge/purge,  selecting master records, deleting, updating and exporting the results.

  • Multiple views including group matches, non matches and all data.
  • Master Record Rule Creator – Define rules to automatically select master records.
  • Update/Overwrite  – Automatically update or overwrite values within matching groups.
  • Fast Delete Tool – Instantly remove all the matching, non-matching or selected records.
  • Powerful Merging Tool –  Merge together duplicate records to create one Master Record, including option to keep all existing values.

Intelligent fuzzy matching with golden record technology

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Stunning visuals to highlight all matching records & scores

What is fuzzy matching software?

A method that provides an improved ability to process word-based matching queries to find matching phrases or sentences from a lists or database. When an exact match is not found for a sentence or phrase, fuzzy matching can be applied. The process compares any data type of any length and from any place in a field to find non-exact matches. Fuzzy logic software tools like WinPure Clean & Match can be used to identify duplicated records across lists and databases, to help save on duplicate mailings and increase customer satisfaction.


What is fuzzy matching?

Fuzzy matching is a type of data matching algorithm that is used to calculate probabilities and weights in order to determine similarities and differences between business entities like customers.

Why do businesses need fuzzy matching?

Many businesses need fuzzy matching so that they can clean and profile their data efficiently. Fuzzy matching steps in revealing duplicated and linked customer data, the human eye misses.

Is fuzzy matching machine learning?

While machine learning and fuzzy matching do use patterns, fuzzy matching algorithms don’t need to train a machine in order to independently decide what data to clean and how. Instead, fuzzy matching relies on fuzzy logic matching, returning values between 0 (not true) and 1 (true). These fuzzy matching results are analyzed for the degree of likeness between two data sets to make decisions about data cleansing.

What is fuzzy search?

Fuzzy search is a process that uses several fuzzy matching techniques to filter and group customer data according to the set of user characteristics, likeness thresholds, and patterns you specify. In return, you get the potential matching customers of interest and the weight describing how likely one customer’s record resembles another.

How reliable is fuzzy search?

The reliability of fuzzy search depends on suitable fuzzy search parameters and software to return a low number of false positives and negatives.

To avoid the likelihood of false positives and negatives, you will want to use reliable software to profile your data ahead of time. Next, you want to come up with the business rules and plans to clean the data. Then you want to use trustworthy automation to clean the data, meeting your goals.

The Complete Guide to Fuzzy Matching

fuzzy matching sample

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