Online Tool
Levenshtein Distance Algorithm
Submit two text strings to see how they match with the Levenschtein distance algorithm. No registration. No logging.
USING MATCHING ALGORITHMS REGULARLY?
Real-time, Automated Fuzzy Data Matching
Automate customer data matching in real-time and at scale. Build golden customer records with ease for risk, fraud, customer 360°s and GenAI.
Do you want a personal tour?
What Is The
Levenshtein Distance Algorithm?
The Levenshtein distance algorithm is a way to measure the difference between two strings of text. It is also known as the edit distance, because it calculates the minimum number of operations needed to transform one string into the other. This can be useful in a variety of applications, such as spelling correction and natural language processing.
At Tilores we use the Levenshtein distance algorithm as one of the potential data record matching algorithms for entity resolution. These can be combined with other matching algorithms to allow fine-tuned data matching and deduplication.
More reading about Levenshtein Distance algorithm (Wikipedia)
Other
Fuzzy Matching Algorithm Tools
Unlock the value trapped in your messy, inconsistent and duplicate-riddled data. Let Tilores be your data "source of truth".
Compare all
Compare Fuzzy Matching Algorithms
Other Fuzzy Matching Algorithm Tools
Are we missing a fuzzy matching algorithm you would like to test?
About
Tilores
When you need to do fuzzy matching on high-volume data in real-time, you need a built-for-purpose technology: enter Tilores.
The API to unify scattered customer data in real-time.
Company
Get the latest updates
©2025 Tilores, All right reserved.