Extract Names, Places, and Entities from Text Automatically
🏷️ Entity recognition automatically identifies and classifies named entities in text, extracting people, organizations, locations, dates, and custom entities. Our AI-powered platform uses deep learning and NLP to recognize entities with high accuracy.
Build sophisticated extraction systems with NER models, entity linking, disambiguation, and relationship extraction. Leverage BERT, spaCy, and transformers for information extraction. Recognize standard entities like people, organizations, locations, and custom domain entities.
From document analysis to knowledge graph construction, our NER platform powers chatbots, search systems, content tagging, and compliance monitoring. Deploy with spaCy, Hugging Face, Stanford NER, or train custom models on your domain data.
Achieve 96%+ entity recognition accuracy with state-of-the-art BERT and transformer-based models.
Recognize 50+ entity types including people, organizations, locations, products, and custom domain entities.
Extract entities in real-time from documents, emails, chat messages, and web content with sub-second latency.
Recognize entities in 100+ languages with cross-lingual models that maintain high accuracy across languages.
Link recognized entities to knowledge bases like Wikipedia, DBpedia, and custom knowledge graphs automatically.
Train models to recognize custom domain-specific entities like product codes, medical terms, or legal concepts.
Use contextual understanding to disambiguate entities and handle variations in entity mentions accurately.
Extract relationships between entities to build knowledge graphs and understand entity interactions.
Integrate entity recognition into existing systems with REST APIs, Python libraries, and pre-built connectors.
Process millions of documents per day with distributed NER pipelines and cloud-native architecture.
Identify PII and sensitive information for compliance with GDPR, HIPAA, and data protection regulations.
Improve entity recognition accuracy over time with active learning and model retraining on new examples.