Join Two CSV Files Without Writing Pandas

For analysts, developers, and business users who need to merge two CSV files by a shared key. Paste both CSVs, choose the join key, and get a combined CSV in your browser — no Python, no setup, no upload.

Open the Tool

Why use CSV Join?

Merge two CSV files by a shared key in seconds

No Pandas, Python, or spreadsheet formulas required

Runs entirely in your browser — your data never leaves your device

Works with any column names and common CSV delimiters

Copy or download the joined CSV for immediate use

How it works

  1. Paste the first CSV into the input box.
  2. Add a line with --- and paste the second CSV below it.
  3. Enter the shared join key (for example, id) and click Join CSV Files.
  4. Copy or download the merged CSV output.

FAQ

What is a join key?

A join key is the column shared by both CSV files, such as id or email. Rows with matching key values are combined into one row in the output.

Do I need to install Pandas or Python?

No. This tool performs the merge directly in your browser, so you can join CSV files without writing any code.

Is my data uploaded to a server?

No. All processing happens locally in your browser. Your CSV data is never sent to or stored on our servers.

What happens if a key exists in only one file?

Only matching rows are combined by default. Rows without a match in the other file are left out of the joined result.

Can I join files with different column names?

Yes, as long as both files contain the join key column. Other columns can have different names and will appear in the merged output.