Reports, invoices, and statements play a vital role in sharing weekly, monthly, and annual usage data and its trends with end-users on day-to-day activities. Starting from utility usage, financial trends, credit statements, and medical data are shared with humans in the form of reports and statements, both in electronic and paper formats. These documents contain PII, personally identifiable information, of users, including address, phone number, account numbers, medical history, and Social Security numbers. Data is also represented in tables, a wide variety of charts, and graphs for an enhanced user experience. 

Problem 

Organizations and institutions pay fines, penalties, and work on settlements, often now due to PII data breaches and inaccurate data in reports. The majority of organizations use a third-party vendor to generate and send out these statements to their customers. The chances of misdelivery or sharing inaccurate information are relatively high. Using a visual language model and machine learning techniques, we can eliminate the data breach by detecting and fixing it.