Shuffle CSV Values

Shuffle CSV Values lets you instantly randomize the order of values in each row of your CSV. Whether you’re building mock data for testing, anonymizing real datasets for compliance reasons, or just trying to throw off predictable patterns, this browser-based tool makes it quick and safe. No downloads. No uploads. Just clean, fast processing right inside your browser. You can choose whether to keep your headers in place or shuffle them too great if you want to fully obfuscate the column structure. It’s designed to handle everything from simple tables to longer, more complex CSVs. Works perfectly for QA workflows, demo apps, or randomized training sets. Plus, you can clear everything out and start again in one click.

Paste your input above or import a file below.
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Supported file types: .txt, .csv
Total characters: 0
Options
Shuffle headers too

How to Use:

  • Paste your CSV data into the Input Text box, or click Choose File to upload a .csv or .txt file.
  • Toggle Shuffle headers too if you want to randomize the column labels as well.
  • Click the Shuffle button to apply changes, or let the tool do it live as you type or toggle options.
  • View the live result in the Formatted Output area.
  • Use Copy Output to send the result to your clipboard or Export to File to download a new .csv.
  • Use Clear All to reset everything back to blank.

What Shuffle CSV Values can do:

This tool is handy when you need randomized data structure for testing, anonymization, or load balancing. The tool takes your original CSV and shuffles either just the rows or both headers and rows your choice. You can tweak, test, and instantly get a randomized version of your structured data. It’s all done right in your browser with no downloads or installs, just clean output and easy export options.

Example:

Before:

name,age,city
Alice,30,New York
Bob,25,Los Angeles

After (shuffled values only):

name,age,city
30,Alice,New York
Los Angeles,Bob,25

Common Use Cases:

Shuffle CSV Values helps when you’re working with test datasets, scrambling fields for demos, or generating randomized input for simulations. It’s especially helpful in masking personal data while keeping row structure intact.

Useful Tools & Suggestions:

Before shuffling, use Analyze CSV to get a feel for data distribution so the randomness doesn’t cause surprises. And after the shuffle, Validate CSV makes sure the file’s structure is still intact.

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