Question: Is there a tool that can accurately capture complex data from documents, such as nested tables and grids, without requiring new templates?

If you need a tool to extract complex data from documents without having to create new templates, Rossum is a good choice. It's a cloud-native AI-powered document processing service that automates complex transactional workflows, extracting data from multiple formats and channels. Rossum can handle nested tables and grids without having to create new templates or business rules, and it can connect to existing systems like SAP, Coupa and Workday.

Another good option is Parseur, an AI-powered data extraction software that can handle multiple document formats, including PDFs, emails and spreadsheets. It includes an AI parsing engine, template-based parsing and an OCR engine for scanned documents. Parseur also offers integration with automation tools and data normalization, so it's a good choice for companies that have to process a lot of complex data.

For a more complete solution, Document AI from Playmaker automates document-based processes by extracting, validating and using data through a single workflow. It can handle many file types and can send data to more than 300 systems. It's good for extracting data from contracts, invoices and tax documents, and for ensuring data security and privacy.

Another option is TableFlow, an AI-powered information retrieval system that extracts and transforms unstructured data from many file formats. You can create importers in an admin UI and share links to gather data from customers, so it's a good choice for companies with a broad range of data sources. TableFlow automates the extraction and validation process, so you don't have to spend as much time and effort.