If you're looking for another Ocrolus alternative, ABBYY is a good choice. It's got intelligent document processing and data extraction with 90%+ recognition accuracy, so it's good for automating document-heavy processes like accounts payable and customer onboarding. The platform is available in a low-code/no-code environment for citizen developers and spans many industries, so you can extract complex fields and save a lot of time.
Another good alternative is Document AI by Playmaker. This service automates document-based processes by extracting, validating, and using data through a single workflow. It can handle many file types, and you can validate extracted data based on your own rules to ensure high quality. Document AI can integrate with more than 300 systems and can handle custom or unusual document formats, so it should be adaptable to a lot of business needs.
If you want a broader tool, check out Nanonets. It's an AI-powered automation tool that can extract insights from unstructured data from many sources and automate repetitive work with intelligent workflows. Nanonets can ingest data directly from many sources, extract data without templates, and enforce compliance with standards like GDPR and HIPAA, so it's a good choice for industries like finance and health care.
Last, Cradl AI is worth a look. It automates internal document workflows with AI that extracts data from unstructured documents, and it can handle multiple languages and line item extraction. With features like human-in-the-loop review and native connectors APIs, Cradl AI can handle tasks like invoice processing and receipt management, ensuring data quality and security.