NetOwl Extractor provides highly accurate, fast, and scalable entity extraction across multiple languages using AI-powered natural language processing and machine learning technologies. NetOwl's named entity recognition software can be deployed on-premises or in the cloud, enabling a variety of Big Data Text Analytics applications.

• High accuracy and speed.

Provides state-of-the-art entity extraction accuracy across many different text types. Extremely fast and scalable for real-time analysis.

• On-premises or in the cloud.

Supports Docker and Kubernetes for easy and scalable deployment.

• Easy Integration.

An easy-to-integrate entity extraction tool with a REST API. Pre-integrated with popular search and analytics tools like Elasticsearch and Esri ArcGIS.

• Coreference resolution.

Resolves co-referring entities, whether they are alternative names or acronyms:

• Customizable.

Creator Edition (CE) allows customization of existing entity types or addition of new entity types.

• Language ID.

A seamlessly integrated language ID module detects the language of the input text automatically and performs entity extraction accordingly.