RividTech

Diff CSV

Compare two CSVs by key columns. See added, removed, and changed rows.

Key columns

Drop a file or click to browse

or paste data below

Drop a file or click to browse

or paste data below

How to use Diff CSV

Compare two CSVs by key: added, removed, and changed rows. Follow these steps to get a reliable result in seconds.

  1. 1

    Paste left (old) and right (new) CSVs.

  2. 2

    Select key column(s) used to match rows.

  3. 3

    Review added, removed, and changed counts.

  4. 4

    Export a diff CSV for further analysis.

Common use cases

Practical ways people use Diff CSV on RividTech.

Change tracking

Compare yesterday vs today exports to see what was added, removed, or updated.

Diff CSV FAQs

Quick answers about privacy, limits, and how this tool works.

How are rows matched?

Select one or more key columns. Rows with the same key are compared; the tool reports added, removed, and changed rows.

Is Diff CSV free to use?

Yes. Diff CSV on RividTech is free, with no account or signup required.

Is my data uploaded to a server?

No. Processing runs entirely in your browser. RividTech does not upload your file contents for conversion or cleaning.

Is there a file size limit?

Limits depend on your device and browser memory. Very large files may run slowly; try Sample Data or Split CSV for huge datasets.

More site-wide answers on the FAQ page.

Why RividTech?

A simple, private toolkit for everyday structured-data tasks — without signing up or sending files to the cloud.

Private by design

Your files are processed in your browser. RividTech does not upload your CSV, TSV, or JSON content to our servers for conversion.

Fast and free

No account, no install, and no wait for server round-trips. Tools run instantly on your device.

Built for real workflows

Convert formats, generate SQL, preview tables, remove duplicates, and filter data — then copy or download when you are done.

Works anywhere

Use the tools on desktop or laptop with a modern browser. Ideal for quick one-off tasks and everyday data cleanup.

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