Fuzzy Match

Fuzzy Match lets users upload CSV or Excel files containing textual data and run searches against them. Users can select specific columns for a search, and the search text can span multiple columns. The platform uses fuzzy matching and semantic analysis, with machine learning models, to account for variations in spelling, formatting, and semantics. The website describes feedback loops and iterative learning for ongoing improvement. Uploaded files are stated to be securely stored and automatically deleted after 24 hours, and users can delete files earlier from the History page. The site also offers a Try Demo option and a Sample Data option.

Key features

• Accepts user-uploaded CSV or Excel files containing textual data
• Column selection for searches
• Multi-column search text
• Fuzzy matching and semantic analysis
• Resilience to typos and misspellings
• Model adaptation to input data without predefined rules
• Improved recall for identifying missed matches
• Continuous improvement through feedback loops and iterative learning
• Demo mode with sample data
• File history with ability to delete files before expiry
• Automatic deletion of uploaded files after 24 hours

Best suited for

• Data cleansing tasks
• Matching names, addresses, and numbers across datasets
• Searching large volumes of textual data with inconsistent formatting
• Information retrieval from large document collections

Pricing

Not stated on the website