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CSV First Aid

Fix CSV headers — deduplicate column names

Two columns both called 'Name' and your SQL importer crashes, or Pandas silently renames them to Name and Name.1. We rename the duplicates to Name, Name_1, Name_2 — imports stop failing.

Headers deduplicated

Before

Name,Name,Name

After

Name,Name_1,Name_2

Drop your CSV file here

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The "headers" fix will be auto-detected.

What is this and why does it matter?

Duplicate column headers happen when you merge spreadsheets, combine data from multiple sources, or export from tools that don't check for unique names. Many import tools simply crash when they see two columns with the same name.

Empty or missing headers are equally problematic — they cause columns to misalign during import, making data land in the wrong place.

CSV First Aid scans your header row and fixes both issues. Duplicate names get a suffix (_2, _3, etc.) to make them unique. Empty headers are filled with placeholder names. The first occurrence of each name stays unchanged.

How it works

  1. 1Drop your CSV. We check the first row for empty and repeated column names.
  2. 2Duplicate and empty headers are listed in the diagnosis card.
  3. 3Apply → headers are renamed to be unique. Download your file.

FAQ

What naming convention is used for renamed headers?

Duplicates get a suffix: name_2, name_3, etc. Empty headers become column_1, column_2. The first occurrence keeps its original name.

Can I customize the renamed column names?

Not yet — the tool applies automatic unique names. You can edit the header row in the downloaded file if you need specific names.

What if my file has no header row?

CSV First Aid treats the first row as the header. If your data starts on row 1 with no header, the first data row's values will be treated as column names. Add a header row before processing for best results.