Question: Can you recommend a solution that automates data extraction from complex documents like financial statements and identity documents?

If you need a way to extract data from complex documents like financial statements and identity documents, Ocrolus is a good option. This Document AI platform uses AI to classify, extract and analyze financial documents with high accuracy. It can handle a broad range of documents, including bank statements, paystubs, W2s and passports. The platform also offers an API for custom applications, which makes it a good fit for industries like small business lending, consumer lending and forensic accounting.

Another option is ABBYY, which uses AI, NLP and OCR to automate business processes through intelligent document processing and data extraction. Its intelligent document processing technology ensures high recognition accuracy, and it can handle large language models and robotic automation integration. ABBYY is good for automating processes like accounts payable and customer onboarding and for providing fast and accurate insights to inform business decisions.

Parsio is another good option for automating data extraction from unstructured documents, including PDFs and emails. It's got a powerful OCR engine, GPT-powered parsing and multilanguage support. Parsio integrates with tools like Google Sheets, Slack and QuickBooks, and its no-code interface means non-technical people can use it, dramatically increasing productivity and accuracy.

If you're looking for a self-learning AI-based option, Procys offers high accuracy and speed in extracting data from various documents, including invoices and ID cards. It's got advanced OCR technology and integrates with popular ERP platforms. Procys offers flexible pricing plans to accommodate different business needs, so it's a good option for automating document workflows and improving productivity.