For a Procys alternative, ABBYY is a strong contender. ABBYY employs AI, NLP and OCR to automate business processes through intelligent document processing and data extraction. It can handle many document formats and languages, and offers a marketplace for custom-built AI models. With high recognition accuracy and a low-code/no-code interface, ABBYY can automate document-driven processes like accounts payable and customer onboarding, and deliver actionable insights to inform business decisions.
Another good option is DOConvert, which offers a smart document processing platform that integrates with popular ERP systems and custom APIs. DOConvert uses AI to extract data from a broad range of documents, automate workflows and customize output. Its four-step process is designed to reduce human error and manual data entry time, making it a good option for optimizing operations and cutting costs.
Ocrolus is another contender if you need a platform that's particularly good at financial document processing. It uses AI to classify, extract, detect and analyze financial documents with high accuracy, a skill that's particularly useful for lenders and other financial services companies. Ocrolus can process many types of documents, including bank statements and passports, and offers an on-demand scaling option with bank-level security.
Last, Document AI offers an AI-powered information retrieval system that automates document-based processes by extracting and validating data. It can handle many file types and can retrieve documents through emails or API, and data security and privacy are built in by default. The platform is good for automating workflows and reducing errors across many different document types like contracts and tax documents.