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NetOwl EntityMatcher

](/products/netowl-entitymatcher/reviews)

(1)2.5/5

NetOwl EntityMatcher provides highly accurate, fast, and scalable entity resolution to identify records that refer to the same real-world entity (e.g., person, organization). NetOwl performs entity resolution based on any combination of available entity record fields, such as name, date of birth, address, place of birth, nationality, employer, spouse, associate, etc. NetOwl leverages its machine learning-based fuzzy name matching and uses optimized matching models for each entity type, including person, place, organization, address, date, email, phone, etc. NetOwl’s built-in NLP-based name parsing reduces the need for data cleansing. For example, it automatically handles person names with honorifics or job titles, addresses with abbreviations, dates and phone numbers in different formats, etc. Through field weights, customers can specify which fields are most important to the overall match and produce an overall matching score to meet the customers’ business requirements. NetOwl supports multiple languages and scripts, including languages written in Latin-based alphabets (e.g., English, Spanish), Arabic, Chinese (traditional and simplified), languages written in Cyrillic-based alphabets (e.g., Russian), Greek, Hebrew, Japanese (kanji, hiragana, katakana), Korean (Hangul), and Persian (Farsi and Dari).

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When users leave NetOwl EntityMatcher reviews, G2 also collects common questions about the day-to-day use of NetOwl EntityMatcher. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.

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## Top Contributors in NetOwl EntityMatcher

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 ![Dixit T.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Dixit T.")
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### [Dixit T.](https://www.g2.com/users/48a3d99d-a571-4a34-abbb-a83318f1d3de "Dixit T.")

Identity checking manager

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