What algorithm is used to shuffle items?

We use the Fisher-Yates (also known as Knuth) shuffle algorithm, which guarantees a mathematically unbiased random permutation of the list.

Can I remove duplicates from my list?

Yes, toggle the 'Unique Items Only' switch to filter out duplicate rows automatically.

How do I format the shuffled list?

Choose between raw lists, numbered indices (e.g. 1. Item), or bullet points.

Does it support custom delimiters?

Yes, you can split your list by newlines, commas, semicolons, or custom text segments.

Yes, all parsing and shuffles execute locally in browser memory; nothing is uploaded.

List Randomizer — Fisher-Yates List Shuffle & Sort

List Randomizer — Shuffle Any List Using Fisher-Yates Algorithm Online

The SimplyUtils List Randomizer shuffles any list of items — names, numbers, URLs, tasks, options — into a provably unbiased random order using the Fisher-Yates (Knuth) algorithm backed by crypto.getRandomValues() for cryptographic-grade randomness. Use it to pick random giveaway winners, assign tasks to team members, randomize study card order, create random team matchups, or shuffle A/B test variants. No data is uploaded — everything runs client-side in your browser.

How to Shuffle a List Online

Enter your list — Type or paste items one per line. Accepts names, numbers, sentences, URLs, emojis — any text content.
Configure options — Toggle duplicate removal, blank line filtering, or alphabetical pre-sort before randomizing.
Set pick count — Optionally select only the first N items from the shuffled result (e.g., pick 3 winners from 100 entries).
Click Shuffle — The Fisher-Yates algorithm produces a fresh unbiased permutation every time.
Re-shuffle freely — Each click generates a completely new random order — no previous results are cached or reused.
Copy or download — Copy the shuffled list to clipboard or download as a .txt file for use in documents or spreadsheets.

List Randomizer Use Cases & Examples

Use Case

Example Input

Typical List Size

Who Uses It

Giveaway Winner Selection

Contest entrant names

50–10,000+

Streamers, brands

Team Assignment

Student or employee names

10–100

Teachers, HR managers

Random Task Queue

Project tasks or chores list

5–50

Team leads, roommates

A/B Test Variant Order

Headlines or UI variants

2–20

Marketers, UX researchers

Quiz Question Shuffling

Exam questions or flashcards

10–200

Students, educators

Random Playlist Creation

Song titles or video names

20–500

DJs, content curators

Why Fisher-Yates Is the Gold Standard for Shuffling

Many naive shuffle implementations (like JavaScript's array.sort(() => Math.random() - 0.5)) produce statistically biased results where some orderings are far more likely than others. The Fisher-Yates algorithm guarantees every permutation of n items is equally probable. Seeding it with crypto.getRandomValues() ensures true entropy from the OS hardware random number generator — making our shuffles non-predictable and non-reproducible.

Shuffle Method

Unbiased?

Cryptographically Secure?

Performance

Fisher-Yates + crypto (SimplyUtils)

✓

O(n) — excellent

sort(() => Math.random() - 0.5)

✗

O(n log n) — slower

Fisher-Yates + Math.random()

✓

✗

O(n) — good

Who Uses a List Randomizer?

1. Contest Organizers & Streamers

Pick transparent, verifiable giveaway winners from comment or entry lists on Twitch, YouTube, and Twitter. The cryptographic shuffle removes any appearance of bias or selection manipulation.

2. Teachers & Educators

Randomly assign students to groups, randomize reading order for presentations, shuffle quiz question sequences to prevent copying, and select random students for participation without perceived favoritism.

3. Agile Teams & Scrum Masters

Randomly assign story owners at sprint planning, shuffle backlog items for triage sessions, or randomize retrospective activity prompts to keep sessions fresh and unbiased.

4. UX Researchers & Marketers

Randomize the presentation order of A/B test variants, survey answer choices, or headline options to eliminate order bias from user research studies.

5. Students & Study Groups

Shuffle flashcard decks, reading list topics, or vocabulary words to practice retrieval in a different order each session — research shows random retrieval practice improves long-term retention.

Frequently Asked Questions

How many items can I shuffle at once?

There's no practical limit. The Fisher-Yates algorithm runs in O(n) time, so even lists of 50,000+ items shuffle in milliseconds. Browser memory (usually 4GB+) is the only theoretical constraint.

Can I pick just the top N items from a shuffled list?

Yes — set the "Pick top N" option to limit output to the first N items from the shuffled result. This is statistically equivalent to selecting N items uniformly at random without replacement from the full list.

Is the shuffle truly random (not pseudo-random)?

Yes. We use crypto.getRandomValues() as the entropy source, seeded by the OS hardware random number generator. This makes each shuffle cryptographically non-predictable — unlike Math.random() which uses a deterministic PRNG.

Can I remove duplicates before shuffling?

Yes — enable "Remove Duplicates" to deduplicate the list before shuffling. Case-sensitive and case-insensitive deduplication modes are both available. Trimming leading/trailing whitespace is also applied automatically.

Does my list data get sent to SimplyUtils servers?

No. All list processing and shuffling runs entirely in your browser using JavaScript. SimplyUtils never receives or stores your list data. This is especially important when shuffling lists containing sensitive information like employee names or customer data.

Related Utilities: Random Letter Generator Random Emoji Generator Duplicate Word Finder

Client-Side Sandbox: All list shuffling uses the Fisher-Yates algorithm with crypto.getRandomValues() running locally in your browser. Your list data is never transmitted to SimplyUtils servers.