To quickly onboard supplier catalogs and get reliable product data without human intervention, ABBYY is a top option. It uses AI, NLP and OCR to automate business processes like document capture and data extraction. With its intelligent document processing and marketplace for custom-built AI models, ABBYY offers high capture accuracy and can handle complex fields, freeing up hours of work and providing useful insights.
Another top contender is Document AI from Playmaker, which automates document-based processes by extracting and validating data. It can handle a variety of file types and integrates with more than 300 systems to ensure data security and privacy. Document AI can handle custom or unusual document formats and validate data with custom rules, too, making it a powerful option for automating workflows and reducing errors.
Nanonets is an all-purpose AI-powered automation platform that can extract information from unstructured data in many sources. It includes sophisticated data extraction and enrichment, smart decision engines for file review, and flexible export options. Nanonets protects data confidentiality and integrity with strict compliance requirements, so it's a good option for finance, manufacturing and health care.
Last is DOConvert, which is designed to boost productivity and reduce data entry costs by as much as 75%. It uses AI to extract data from many types of documents, integrates with major ERP systems and has a flexible onboarding process that can be done in 10 business days. DOConvert's four-step process cuts human error and manual data entry time, making it a good option for automating document processing and streamlining operations.