Automating Document Data Extraction for HubSpot Teams

This article discusses how HubSpot teams can eliminate the time-consuming process of manually searching through PDFs to extract data, and instead leverage intelligent document processing tools to automate the extraction of key fields like dates, totals, and contact information.

Details

The article outlines how HubSpot teams often have to deal with various documents like invoices, forms, and purchase orders that contain important data that needs to be added to the CRM. However, the common process of opening each PDF, scrolling through pages, locating specific fields, and manually copying the information into HubSpot becomes a major time drain when repeated dozens of times per day. This is because documents are not designed for quick data extraction - important fields can be buried in dense text, different document formats require different layouts, and values are not always in the same place. Intelligent document processing tools like Scanny AI can solve this problem by automatically reading documents, identifying key fields, and extracting the data without human intervention. This allows HubSpot teams to receive the necessary information instantly in a structured format, eliminating the need to search through files. The article highlights how this approach can lead to faster data entry, improved accuracy, quicker workflows, and enable employees to focus on higher-value tasks instead of repetitive document handling.