Guide to Optimizing Receipt and Expense Submissions for Efficient Expense Management

September 16, 2024
3 mins read
Guide to Optimizing Receipt and Expense Submissions for Efficient Expense Management

    In the world of corporate finance and employee reimbursements, accurate receipt submissions form the backbone of effective expense management. Whether it’s tracking business lunches, travel expenses, or office supplies, the ability to quickly and accurately process receipts is crucial for maintaining financial integrity and ensuring timely reimbursements. However, many organizations struggle with extracting data from receipts, particularly when dealing with screenshots or receipts with complex layouts. This guide will walk you through the best practices of optimizing receipt and expense submissions. It will also ensure that your expense management process is as smooth and accurate as possible.

    Common Issues with Receipt Submissions

    Challenges with Screenshots

    Screenshots of receipts, while convenient, often pose significant challenges for data extraction. The quality of the image can vary greatly, leading to difficulties in reading and processing the information. Issues such as blurriness, low resolution, and the presence of unwanted background elements can hinder Optical Character Recognition (OCR) technology, resulting in incomplete or incorrect data extraction. 

    Handling Receipts with Independent Columns

    Receipts that feature independent columns, such as those with separate sections for item names, prices, and quantities, can create confusion for OCR systems. These non-linear layouts require advanced processing techniques to correctly interpret and extract data. Without proper formatting or alignment, crucial information may be missed or misinterpreted. This will lead to errors in financial records and complications in expense management.

    Best Practices for Optimizing Receipt Submissions

    Submit Clear, High-Quality Images

    One of the most effective ways to ensure accurate data extraction is to submit clear, high-quality images of your receipts. Good lighting, sharp focus, and the absence of shadows or glare are essential. When taking a picture of a receipt, make sure that the entire document is visible, no parts are cut off or obscured. This simple step can significantly reduce errors in the OCR process and improve the overall accuracy of your submissions. Veryfi Lens for Mobile and Veryfi Lens for Browser help you achieve this by quickly digitizing any physical receipts and invoices into scans.

    Use Standardized Formats

    Implementing standardized formats for receipt submissions can greatly enhance the efficiency and accuracy of data extraction. By aligning receipts correctly and ensuring that they adhere to a consistent layout, you make it easier for OCR systems to identify and process the relevant information. This is particularly important when dealing with the receipts from different vendors, as variations in design and formatting can lead to discrepancies in data capture.

    Handling Multi-Column Receipts

    For receipts with multiple columns or complex layouts, it’s important to ensure that all data is captured accurately. This may involve adjusting the angle of the receipt to avoid distortion, or providing additional context if the columns are not clearly labeled. By following these guidelines, every piece of information will be accurately extracted and included in your expense reports.

    Leverage Your Invoice Capture and Submission Process

    Accurate receipt submission is essential for maintaining reliable financial records, optimizing receipt and expense submissions. By following the best practices outlined in this guide, you can enhance the accuracy and efficiency of your data extraction efforts. Don’t leave your financial records to chance—take control of your receipt submissions today. Ensure that every detail is captured correctly. Start optimizing by creating a free account with Veryfi today! 

    Process your docs in less time than it takes to read this.

    See for yourself.