Deduplicate CSV Data removes duplicate rows from your CSV file with live preview, file import, and export support. Fast, browser-based cleanup.
How to Use:
- Paste your CSV data into the CSV Input box, or use the Choose File button to upload a
.csv
,.txt
, or.log
file. - The first line is always treated as the header and stays at the top of the output.
- The tool automatically removes rows that match earlier ones based on your selected rules.
- Use the Options panel to control how duplicates are detected:
- Trim fields: Removes leading and trailing spaces from each value before comparing.
- Case-sensitive: Treats uppercase and lowercase as different (
Alice
≠alice
). - Keep first instance only: Keeps the first match and removes duplicates that follow.
- Output updates live as you type or change settings.
- The deduplicated content appears in the Deduplicated Output area with a Total characters count below it.
- Click Copy Output to copy the cleaned CSV to your clipboard.
- Use Export to File to download the result as a
.csv
file. - Click Clear All to reset everything inputs, toggles, and file status.
What Deduplicate CSV Data can do:
This tool scans your CSV line by line, removing exact duplicates based on your rules. You can trim values to normalize spacing, make it case-insensitive, and choose whether to keep just the first version of any repeated row. It’s great for cleaning exports, de-duping merge lists, or prepping files for import where unique records matter. No scripts or desktop software needed it’s fast, reliable, and runs entirely in your browser.
Example:
Before:
name,age,city
Alice,30,New York
Bob,25,Los Angeles
Alice,30,New York
Charlie,22,Chicago
Bob,25,Los Angeles
After:
name,age,city
Alice,30,New York
Bob,25,Los Angeles
Charlie,22,Chicago
Common Use Cases:
Perfect for removing duplicates from mailing lists, contact sheets, or any exported table with repeated entries. It’s also ideal for prepping clean data before import into a database, CRM, or analytics tool.
Useful Tools & Suggestions:
Run Find Incomplete CSV Records first to make sure blanks aren’t being counted as duplicates. And after deduping, use Count CSV Rows to confirm how much was actually removed.