6 Best Named Entity Recognition APIs for Entity Detection

Named Entity Recognition (NER), also known as Entity Detection, is a valuable tool in the Natural Language Processing (NLP) field. It identifies and categorizes key information such as names of people, organizations, addresses, phone numbers, social security numbers, locations, and more within a text. NER typically involves two steps: entity identification and entity classification. Entity Detection works by detecting various entities in the transcription text and then returning them in a JSON response when fetching a completed transcription from an API. Some currently supported entity types include person names, phone numbers, and occupations. There are several Entity Detection APIs available on the market today that support Named Entity Recognition. These include AssemblyAI, Dandelion, Google Natural Language, Azure Cognitive Services, TextRazor, and Allganize. Each of these platforms offers different features and pricing plans to cater to a wide range of industries and use cases. Using entity detection can provide invaluable customer or employee information across various industries such as telephony, CRM platforms, hiring platforms, virtual meeting platforms, voice bots, and medical sectors. By collecting this entity information, companies can perform analytics for better understanding of customers, adjust marketing campaigns, modify products, and much more.