Jaro similarity algorithm

Online tool to test the 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. 

Other Fuzzy Matching Algorithm Tools

Are we missing a fuzzy matching algorithm you would like to test? Let us know.  

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.

  • Consistently fast search response times

  • Built for unlimited serverless scaling

  • Real-time data ingestion and simultaneous search.

  • Configure matching rules easily in the UI

  • Data privacy compliant by design