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List Randomizer

Paste one item per line and get the whole list back in a random order, numbered or plain.

Related tools

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Name RandomizerShuffle a name list, pick winners, or split it into balanced random groups.Number RandomizerShuffle a list or a range into a random order with an unbiased Fisher–Yates shuffle.Bingo Card GeneratorPrint-ready 5×5 bingo cards — classic numbers, custom words or emojis, with a free space.Coin FlipperFlip 1 to 100 fair coins at once, with the heads/tails tally, split and longest streak.Lottery Number GeneratorQuick-pick numbers for Powerball, EuroMillions, Lotto and more — or your own custom draw.Magic 8-BallAsk a yes/no question and get one of the classic 20 answers, colour-coded by tone.Random Activity GeneratorFind something to do: 66 activities filtered by category, time available, number of people and budget, each with its real duration and what you need.Random Animal GeneratorDraw 1, 3, 5 or 10 animals from a 160-species corpus, filtered by class, each with its habitat, diet, typical lifespan, IUCN status and one true fact.

Open List Randomizer and you get an answer straight away, with no account to create. Its place is under Random generators; Name Randomizer and Number Randomizer answer the questions closest to this one.

How to use it

  1. Open the tool — no signup or install needed.
  2. Enter your input or adjust the available options.
  3. Get your result instantly, then copy or download it.

Frequently asked questions

What is List Randomizer?

Paste one item per line and get the whole list back in a random order, numbered or plain.

When would I actually use this?

Producing something plausible on demand: a name for a pet or a domain, a sentence to test a layout with, a cocktail for what is already in the cupboard, a character sheet to start a campaign — and the throwaway identities a form needs before it can be tested at all.

What is the most common mistake?

Letting a generated identity out of the test environment. A fake address, a valid-looking card number and a plausible name are built to pass a form's checks, which is exactly what makes them dangerous once a real record is created from them — and a generated domain or pet name still has to be checked for a trademark nobody here can see.

How is List Randomizer different from Name Randomizer?

They sit next to each other but answer different questions. Name Randomizer: shuffle a name list, pick winners, or split it into balanced random groups. Pick whichever matches what you're starting from — both are free.

Is there a tool for the next step?

Number Randomizer is the closest one after this: Shuffle a list or a range into a random order with an unbiased Fisher–Yates shuffle.

What else is worth having open alongside it?

Bingo Card Generator and Coin Flipper — they come up in the same task often enough to be worth a second tab.

Where do the figures come from?

Randomness comes from the browser's cryptographic source, so an identifier is safe to use as a key. The card numbers satisfy the Luhn check and the issuer prefixes precisely so a payment form will accept them in test mode; no account stands behind any of them.

Further reading

All guides →
How-toHow to Pick a Name at Random — Without Anyone Doubting the ResultA fair draw needs more than a random number: equal probability, no reuse of a biased method, and a result someone else can check. Here is how to run one.ExplainerThe Sum of the Implied Probabilities Is Never One HundredTwo sides both priced at -110 imply 52.4 % each. That adds to 104.8 %, and the 4.8 points that should not exist are the margin — visible the moment you convert the odds.GuideTournament Brackets: Byes, Seeds, and Why the Numbers Must Be Powers of TwoA knockout bracket halves its field every round, so it only closes on a power of two. The bye count, the round count, the seed order and the total number of matches all follow from that one fact — and each is a one-line derivation.GuideSplitting People Into Fair Groups: Random and Fair Are Not the Same Requirement23 people do not divide into fours, and a uniformly random split can hand one group every strong player. Here is the remainder arithmetic, the measured cost of pure randomness, and the stratified fix.ExplainerPoker Hand Probabilities, Derived Rather Than MemorisedEvery five-card poker probability is a counting argument over 2,598,960 hands, and each one fits on a single line. Here are all nine, with the check that proves them: the counts must sum to exactly C(52,5).ExplainerShuffling Is Harder Than It Looks: A Million Runs of the One-Line ShuffleThe shuffle everyone writes — sorting with a random comparator — is biased, and not slightly. A million measured runs show eight of the twenty-four orderings turning up twice as often as the other sixteen.