Randomize List

Shuffle the order of items in a list randomly. Uses a Fisher-Yates shuffle algorithm for uniform randomization of any list.

Input
Item Boundaries
A specific character is used to separate list items.
A regular expression is used to separate list items.
Old Separator.
Randomize Settings
Output Separator.
Randomize Item Options
Remove spaces and tabs that surround items before randomizing.
Don't include the empty list items in the output.
Output

What It Does

Shuffle the order of items in a list randomly. Uses a Fisher-Yates shuffle algorithm for uniform randomization of any list.

How It Works

Randomize List intentionally changes order or selection from run to run. In tools like this, variation is not a bug. It is the reason to use the tool at all.

If two runs do not match, that is usually expected. Randomization tools are valuable precisely because they create variation without requiring you to craft every alternative by hand.

All processing happens in your browser, so your input stays on your device during the transformation.

Common Use Cases

  • Randomize question order for quizzes and exams
  • Shuffle a playlist or reading list
  • Create random drawing orders for raffles or contests
  • Randomize participant order for presentations
  • Shuffle test cases for unbiased testing

How to Use

  1. Paste your list into the input field.
  2. Set the list separator (newline, comma, etc.).
  3. Click Randomize to shuffle the items.
  4. Click again for a different random order.
  5. Copy the shuffled list.

Features

  • Fisher-Yates shuffle for true uniform randomization
  • Works with any separator type
  • Re-shuffle with one click for a new order
  • Handles lists of any size
  • Preserves item content exactly

Examples

Below is a representative input and output so you can see the transformation clearly.

Input
Randomize List input:
Email: john.doe@example.com
Status: active
Output
Randomize List output:
Email: john.doe@example.com
Status: active

Edge Cases

  • Very large inputs can still stress the browser, especially when the tool is working across many items. Split huge jobs into smaller batches if the page becomes sluggish.
  • Empty or whitespace-only input is technically valid but may produce unchanged output, which can look like a failure at first glance.
  • Repeated runs can produce different valid outputs because Randomize List includes randomized behavior.

Troubleshooting

  • Unexpected output often means the input is being split or interpreted at the wrong unit. For Randomize List, that unit is usually items.
  • Different results across runs are expected unless the tool offers a deterministic mode or seed.
  • If nothing changes, confirm that the input actually contains the pattern or structure this tool operates on.
  • If the page feels slow, reduce the input size and test a smaller sample first.

Tips

Click Randomize multiple times to verify you're getting different orderings — this confirms the shuffle is working properly for your list.

Fair Randomization

Not all shuffling methods are equal. A naive approach (sorting by random values) can introduce bias. This tool uses the Fisher-Yates algorithm, which guarantees every possible permutation is equally likely. For a list of n items, each of the n! orderings has exactly the same probability of appearing.

Common Uses

Quiz creators shuffle question order to prevent answer-pattern memorization. Event organizers randomize presentation order to avoid bias toward early or late speakers. Researchers shuffle experimental conditions to eliminate ordering effects. Game designers randomize card or tile order for replayability.

Randomization vs Selection

Randomizing reorders all items. If you need to pick a subset randomly (e.g., 5 winners from 100 entries), use Randomly Select Item instead. If you need a single random pick, that tool is more appropriate than shuffling and taking the first item — though both approaches are statistically valid.

Frequently Asked Questions

Is the randomization truly random?

It uses JavaScript's Math.random() with the Fisher-Yates algorithm, providing cryptographically adequate randomness for most purposes.

Will I get the same order if I shuffle twice?

Extremely unlikely for lists with more than a few items. A 10-item list has 3,628,800 possible orderings.

Can I set a random seed for reproducible results?

No. Each shuffle uses a new random seed. For reproducible shuffles, you'd need a programming environment with seeded random.

Does it work with numbered lists?

Yes. The numbers are part of each item's text and will move with the item. You may want to re-number after shuffling.

Is there a maximum list size?

No practical limit. The Fisher-Yates algorithm is O(n), so even very large lists shuffle instantly.

Can I shuffle paragraphs instead of lines?

Set the separator to a double newline to treat paragraphs as items, or use Randomize Text Paragraphs.