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Best Named Entity Recognition APIs in 2026: Benchmarks & Pricing

Blog post from Eden AI

Post Details
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Last updated on April 27, 2026 Taha Zemmouri Taha Zemmouri is the CEO and co-founder of Eden AI. With previous experience in AI consulting, he brings a strong business perspective to artificial intelligence and focuses on turning AI capabilities into prac
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1,979
Language
English
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Summary

Named Entity Recognition (NER) is a natural language processing technique used to identify and categorize entities such as people, organizations, and locations within text, utilizing machine learning to discern patterns and contexts. It plays a crucial role in various sectors, from CRM and content analysis to healthcare and legal fields, by enabling the extraction of structured information from unstructured text data. The text highlights the 2026 landscape of top NER APIs, including AWS, Google Cloud, and OpenAI, emphasizing factors like pricing, language support, and customization. OpenAI is noted for its high accuracy, while AWS provides a cost-effective solution for high-volume use. Additionally, Eden AI offers a unified platform that simplifies the integration of multiple NER APIs, allowing users to optimize performance and cost while maintaining data protection and regulatory compliance. Taha Zemmouri, CEO of Eden AI, aims to make AI integration more accessible, focusing on practical applications for businesses leveraging multiple AI technologies.