If you're looking for a powerful document processing platform that can extract data from a variety of sources like emails, spreadsheets and images, Nanonets is a great option. This AI-powered automation platform can process unstructured data from multiple sources and automate repetitive tasks with intelligent workflows. It has advanced data extraction without templates, data enrichment, and flexible export options, making it a good fit for industries like finance, manufacturing and healthcare.
Another top contender is Parsio, which uses AI and OCR technology to extract structured data from unstructured documents. Parsio can process a range of file types, including emails and PDFs, and can export data to Google Sheets, databases, CRM systems and more than 6,000 other apps. Its interface doesn't require coding skills and supports multiple languages, so it's a good option for automating data extraction and increasing productivity.
If you're looking for a more developer-centric option, Sensible is an API-first document processing platform that can easily be integrated with existing applications. Sensible can extract data from a wide variety of documents, including emails and images, with sophisticated parsing technology and a large library of pre-built parsers. It also has elastic scalability and strong security, making it a good option for high-volume document processing.
Last, Airparser is a powerful GPT-powered parser that can extract structured data from a variety of documents, including emails, PDFs and images. It can integrate with multiple apps using webhooks and Zapier, and data can be secured with advanced encryption and secure data transfer. Airparser's subscription plans are designed for different users, so it's a good option for both small and large-scale document processing.