How to find and remove duplicate rows from a CSV
Clean exact duplicates without deleting legitimate customers, products, or orders.
Quick answer
First decide what “duplicate” means. Exact identical rows are safer to remove automatically; matching people or products requires a trusted key and careful normalization.
Step by step
Back up the file, parse it as CSV, review headers and row count, normalize only the chosen key, filter or sort to inspect matches, remove exact duplicates, and export a new file.
Common mistakes
Names are not unique. Case, spaces, punctuation, leading zeros, phone country codes, and shared email addresses can turn a simple match into a false merge.
Completion check
Compare the before and after counts, sample removed rows, confirm delimiters and character encoding, and open the exported CSV in the destination system before replacing anything.