Fuzzy matching software

Match data that doesn't match exactly. Our fuzzy matching algorithms find similar records across your datasets with industry-leading accuracy.

Trusted by industry leaders

What is fuzzy matching?

Fuzzy matching is a technique used in computer science and data processing to find strings or patterns that are approximately equal to a given pattern. Unlike exact matching, fuzzy matching algorithms identify similarities even when there are typos, abbreviations, or slight variations.

Our fuzzy matching software uses advanced algorithms like Levenshtein distance, Jaro-Winkler, and Soundex to calculate similarity scores between records. This enables you to identify duplicate customer records, match product data, and consolidate information from multiple sources with unprecedented accuracy.

Whether you're dealing with customer databases, product catalogs, or any large dataset, fuzzy matching helps you maintain data quality without manual effort.

Fuzzy Match Example
"John Smith" 100%
"Jon Smyth" 92%
"J. Smith" 88%
Address Matching
"123 Main Street" 100%
"123 Main St" 95%
"123 Main St." 94%

How fuzzy matching works

1

Import Data

Connect and import data from multiple sources including databases, spreadsheets, and cloud services.

2

Configure Rules

Set matching criteria, similarity thresholds, and select algorithms best suited for your data types.

3

Process Matches

Our engine analyzes records and calculates similarity scores using multiple fuzzy algorithms.

4

Review & Export

Review suggested matches, approve or reject, and export your cleansed, deduplicated dataset.

Complete fuzzy matching toolkit

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Smart Algorithms

Access 20+ matching algorithms including Levenshtein, Jaro-Winkler, Metaphone, and our proprietary machine learning models for maximum accuracy.

Real-time Processing

Process millions of records in minutes with our high-performance matching engine designed for enterprise-scale datasets.

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Custom Scoring

Define custom scoring weights for different fields and create business-specific matching rules that fit your unique requirements.

Business benefits of fuzzy matching

💰

Reduce Costs

Eliminate duplicate records and reduce storage costs. Save on marketing spend by targeting unique customers only.

📈

Increase Revenue

Get a complete view of your customers. Identify cross-sell and upsell opportunities with unified customer profiles.

Save Time

Automate manual data cleansing tasks. Reduce data preparation time by up to 90% with intelligent automation.

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Improve Accuracy

Make better business decisions with clean, accurate data. Trust your analytics with deduplicated datasets.

Built for every data professional

👨‍💼

Data Analysts

Clean and prepare data for analysis faster than ever before.

  • Visual match review interface
  • Export to multiple formats
  • Custom matching rules
  • Data profiling reports
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Data Engineers

Integrate fuzzy matching into your data pipelines with ease.

  • API access
  • Command-line interface
  • Database connectors
  • Scalable processing
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Business Users

No-code solution for business teams to clean data independently.

  • Drag-and-drop interface
  • Pre-built templates
  • Guided workflows
  • Instant results preview
96%
Match Accuracy
50M+
Records Matched Daily
20+
Matching Algorithms
10x
Faster Processing

Ready to experience the power of fuzzy matching?

Get in touch to discuss your data quality needs.