DATAKU is an industrial-strength data extraction and transformation system that uses Large Language Models (LLMs) to convert unstructured text and documents into structured data. It includes features like Document Insights, Text Intelligence and Tailored Data Extraction that make it useful for tasks like resume extraction, customer data extraction and financial document analysis. The service comes in three pricing tiers for different levels of business use.
Another good option is ABBYY, a digital transformation platform that uses AI, NLP and OCR for intelligent document processing and data extraction. It can handle a variety of document formats and languages, with high capture accuracy and complex field extraction. ABBYY is good for automating tasks like accounts payable, customer onboarding and enterprise automation, and for providing fast and accurate insights to business decision makers.
Nanonets is another strong option, an AI-powered automation platform that extracts useful information from unstructured data in documents, emails and tickets. It includes features like advanced data enrichment, smart decision engines and flexible export options, and is good for finance, manufacturing and health care. Nanonets protects data integrity and confidentiality and complies with regulations like GDPR, SOC 2 and HIPAA.