Fuzzy Match

Fuzzy Match is a machine-learning tool for intelligent text matching. It finds likely matches even when data includes typos, inconsistent formatting, or only partial overlap between strings.

Clean and standardize databases

Upload CSV or Excel files with names, addresses, IDs, and other text fields. The system analyzes records to identify similar entries so you can consolidate duplicates, correct inconsistencies, and build a single, standardized reference list.

ML-based fuzzy search

Fuzzy Match combines fuzzy text search with machine learning models to improve matching accuracy. This is especially useful for “messy” datasets with manual entry errors, mixed languages, and varying formats.

Useful for analytics and integrations

Common scenarios include preparing data for reporting, building analytics datasets, reconciling customer lists, and validating address directories. Fuzzy Match helps reduce manual review and speeds up preprocessing before loading data into other systems.