Fuzzy Match

What is Fuzzy Match?

Fuzzy Match is an advanced text matching tool that employs cutting-edge machine learning algorithms to deliver accurate and efficient search results. It allows users to upload CSV or Excel files containing textual data and then utilizes machine learning models to analyze search queries and identify relevant patterns within the dataset. The platform intelligently compares the query against selected columns, accounting for variations in spelling, formatting, and semantics.

How to use Fuzzy Match?

Users upload CSV or Excel files, input a search query, select specific columns for the search, and Fuzzy Match uses machine learning to analyze the query and identify relevant patterns within the dataset, providing precise search results.

Fuzzy Match’s Core Features

Fuzzy matching and semantic analysis Resilience to typos and misspellings Adaptability to data characteristics Enhanced performance with ML-based models Improved recall in information retrieval

Fuzzy Match’s Use Cases

• Identifying text similarities
• Detecting typos
• Accurately matching names, addresses, and numbers
• Streamlining data cleansing processes
• Enhancing data accuracy