Online Tool
Jaro Similarity Algorithm
Submit two text strings to see how they match with the Jaro similarity algorithm. No registration. No logging.
What Is The
Jaro Similarity Algorithm
The Jaro similarity algorithm is a measure of the similarity between two strings. It is commonly used in natural language processing and information retrieval to calculate the similarity between two strings of text. The Jaro similarity algorithm compares the two strings character by character, taking into account the number of matching characters and the number of transpositions (or character swaps) needed to transform one string into the other. The resulting similarity score ranges from 0, indicating that the two strings are completely different, to 1, indicating that the two strings are identical.
At Tilores we use the Jaro similarity 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 the Jaccard similarity coefficient (Wikipedia)
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?
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.