Rename, reorder and combine CSV columns to match an import template.
Managing large datasets, messy CSV files, and misaligned spreadsheets can quickly become a frustrating chore. Whether you are preparing data for migration, merging reports from different departments, or cleaning up exports, you need a reliable way to map data columns accurately. At Potato PDF, we provide a streamlined, browser-based solution designed to make data restructuring simple, fast, and completely free of charge.
Our column mapper is built for professionals, students, and developers who need to reorganize data structures without installing heavy software or dealing with complicated scripts. By uploading your files directly to our secure platform, you can visually align your attributes and export clean, standardized results in seconds.
When working with information from multiple sources, headers rarely match up. One system might label a field "First Name" while another uses "fname" or "Given_Name." To combine or analyze this information effectively, you must map data columns to a unified schema. Doing this manually in a spreadsheet editor is tedious and prone to human error, especially when dealing with thousands of rows.
Getting your spreadsheets organized takes just a few moments with our intuitive interface. Follow these simple steps to complete your task:
Yes. We prioritize your privacy and security. Files processed on Potato PDF are handled securely, and we do not store or share your confidential documents.
Our tool primarily supports common tabular formats such as CSV and plain text delimited files, making it easy to integrate into your existing workflow.
No installation is required. Potato PDF runs entirely in your web browser, allowing you to access all our file utilities from any device, anywhere.