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List Randomizer

Shuffle, deduplicate, and sample list items with optional seeded randomness for reproducible QA runs.

Drag and drop a text file here, or choose a file to import.

Input List

One item per line. Empty lines are ignored.

Randomization Options

Mode

Sample CountSeed (optional)Remove duplicate itemsSample with replacement

OutputResult List

Preview

No output yet.

Mode: Shuffle
Source Items: 0
Result Items: 0
Dedupe: No
With Replacement: No
Sample Count: 3
Seed: 42

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List Randomizer: complete usage guide

Randomize line-based lists with shuffle and sampling modes, including dedupe and seeded reproducibility controls for QA-friendly workflows.

What this tool does

It parses one item per line and removes empty rows automatically.

It supports full list shuffle or fixed-size sampling modes.

It optionally deduplicates source items and supports sampling with replacement.

It allows seeded randomness for deterministic reruns and exportable results.

Typical use cases

Generate fair random ordering for review or assignment lists.
Sample representative subsets from larger candidate pools.
Create reproducible random outputs for QA and test fixtures.
Clean and dedupe participant lists before selection rounds.
Import line-based files and export randomized result snapshots.

Input examples

Line list

alpha\nbeta\ncharlie\ndelta\necho

Mode setup

mode sample, sample count 3, with replacement false

Seeded run

seed 42, dedupe true

Output examples

Shuffled result

1. delta\n2. alpha\n3. charlie\n...

Sample result

1. beta\n2. echo\n3. alpha

Summary metadata

Mode, source count, result count, dedupe flag, replacement flag, sample count, seed

Common errors and fixes

Unexpected duplicates remain

Enable dedupe before running shuffle or sampling.

Sample count exceeds source length

Use replacement mode or lower requested sample count.

Result changes between reruns unexpectedly

Set a fixed seed for deterministic output.

Input treated as one item

Place each candidate on its own line.

Imported file includes noise rows

Trim source file and remove non-item lines first.

Security and privacy notes

List randomization runs locally and does not upload your inputs.
Redact personal identifiers before sharing randomized outputs.
Store final selection logs in approved internal systems.

Step-by-step workflow

Start with a minimal input for List Randomizer and verify baseline behavior first.
Make assumptions explicit: encoding, delimiter strategy, and timezone.
Change one variable at a time and compare output diffs.
Keep one verified output snapshot as a team reference.

Quality checklist before sharing output

Confirm List Randomizer output is deterministic across repeated runs with identical input.
Check boundary inputs (empty values, long fields, invalid characters).
Remove sensitive data before sharing output externally.
Verify final rendering on both desktop and mobile viewports.