IntelliDockers provide Language Processing capabilities based on Deep Learning and AI Neural Networks, in order to extract meaningful information from unstructured content across 40+ languages. IntelliDockers can easily be integrated into data processing pipelines for use cases such: Content Moderation, PII Detection, Reputation Management, Intelligent Document Processing, Email Routing, OSINT data triage, Compliance Monitoring, Contact Center Analytics, Social Media Monitoring, Empowering RPA projects with AI.

NAMED ENTITY RECOGNITION (NER): Process inline text or files to extract up to 17 types of Named Entities.

Extracts 17 types of Named Entities from documents in over 40 languages. Input supports plain text, PDF, DOCX, and PPTX file formats.

All capabilities provide a Confidence Score for the output, used to filter out unreliable AI predictions.

Supported Languages: English, German, Italian, Polish, Hungarian, Arabic, Russian, Persian, French, Afrikaans, Bengali, Burmese, Bulgarian, Chinese, Dutch, Estonian, Finnish, Georgian, Greek, Hebrew, Hindi, Japanese, Javanese, Kazakh, Korean, Malay, Malayalam, Marathi, Polish, Spanish, Serbian, Swati, Tagalog, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Yoruba, Romanian.