Question: I need a platform that can extract data from unstructured documents with high accuracy for faster decision-making.

If you need a platform that can extract data from unstructured documents with high accuracy to help you make decisions faster, ABBYY is a top option. ABBYY uses AI, NLP and OCR to automate business processes like accounts payable, customer onboarding and enterprise automation. It offers intelligent document processing with more than 90% recognition accuracy and has a low-code/no-code platform. That makes it a good fit for many industries, providing fast and accurate insights to inform business decisions.

Another top contender is Ocrolus, a Document AI platform for classifying, extracting, detecting and analyzing financial documents. It uses machine learning-based classification and computer vision to automate document analysis, helping lenders evaluate risk and detect fraud. Ocrolus can process a broad range of documents, including bank statements, paystubs and mortgage statements, and offers an API for building custom customer experiences, making it a good fit for industries like small business lending and mortgage.

For a more general-purpose approach, Nanonets offers an AI-powered automation platform that extracts insights from unstructured data from multiple sources. It offers direct ingestion from common sources, AI-powered data extraction without templates, and flexible export options. Nanonets is particularly well-suited for industries like finance and healthcare, automating processes like accounts payable and optimizing supply chains.

Last, Parsio is an automated data extraction tool that uses AI and OCR technology to extract structured data from unstructured documents like emails and PDFs. It integrates with tools like Google Sheets and CRM systems, and offers multilanguage support and a 5-minute setup. Parsio is designed to remove manual data entry tasks and increase productivity, making it a good choice for automating data extraction.