How to extract data from PDFs to Airtable using OCR

The text discusses the challenges of extracting data from PDFs into Airtable and how Nanonets' OCR (Optical Character Recognition) technology addresses these issues. Airtable, known for its spreadsheet-like simplicity combined with database power, facilitates collaborative work but lacks direct mechanisms for PDF data extraction, leading to time-consuming and error-prone manual input. Nanonets streamlines this process by using advanced OCR and AI to convert complex PDF documents into structured data that can be seamlessly integrated into Airtable, thereby reducing manual entry errors and enhancing productivity. The integration of Nanonets and Airtable enables automated workflows for various business processes, such as invoice processing, support ticket management, and invitee tracking, thus empowering businesses to focus more on data analysis rather than data entry.