Header Cleaner
Clean up messy CSV column headers in bulk — trim whitespace, strip special characters, standardize casing, and fix duplicate names.
How to use Header Cleaner
- Start by providing the required input: Drop a CSV file.
- Set the inputs and options shown here: Header style.
- Run the tool with Clean Headers.
- Review the results, then choose an output control: Download CSV.
Column headers that break scripts and imports
A header like "Customer Name (Primary)" works fine for a human reading a spreadsheet and causes problems the moment something tries to reference it programmatically — spaces, parentheses, and inconsistent casing all cause friction. Standardizing every header into a clean, consistent format up front avoids that friction downstream.
Why duplicate header names get automatically numbered
If cleaning two differently-named headers happens to produce the same result (both becoming "status," say), a numeric suffix is added automatically so every column keeps a unique name — a silent, common failure mode in manual header cleanup that this avoids entirely.
Which naming style should I pick?
snake_case is the most common convention for databases and most programming languages; camelCase is typical in JavaScript-heavy systems — pick whichever matches where the file is headed.
Does this touch the data rows, or just headers?
Only the header row is modified — every data row stays exactly as it was underneath its newly cleaned header.
Need to check headers against a required list instead of cleaning them?
Use the Header Validator, which compares your actual headers against an expected schema rather than reformatting them.