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Random Numbers Without Repeats Generator

Used by developers, writers, and creators worldwide.

A random numbers without repeats generator produces a set of unique integers within a range you define — no duplicates, no manual filtering. This matters whenever selection logic demands each value appear exactly once: lottery draws, raffle tickets, student seat assignments, or survey sampling. Unlike a standard random number tool, which can return the same value multiple times, this generator uses a Fisher-Yates shuffle to guarantee every result is distinct. Three controls drive the output: minimum value, maximum value, and count. Want six numbers from 1 to 49 for a lottery simulation? Done in one click. Need 25 unique IDs from a pool of 200 for a randomized trial? Set count to 25, max to 200, and generate. Copy the list straight into a spreadsheet, script, or form.

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How to use

  1. Choose your options above
  2. Click Generate
  3. Copy your result

Detailed instructions

  1. Set the Min and Max fields to define the range of integers the generator can draw from.
  2. Enter the Count value for how many unique numbers you want in your output list.
  3. Click Generate to instantly produce a non-repeating list of random numbers.
  4. Copy the output list and paste it directly into your spreadsheet, app, or document.

Use Cases

  • •Simulating a 6/49 lottery draw by setting min to 1, max to 49, and count to 6
  • •Randomly assigning unique seat numbers to 30 students before a classroom exam
  • •Generating non-repeating question IDs to shuffle a 20-question Typeform quiz
  • •Picking 50 unique respondents from a 500-person survey pool for qualitative follow-up
  • •Seeding unique enemy spawn IDs into a game-level config file during development

Tips

  • →For quiz randomization, set min to 1, max to your total question count, and count to the same number for a complete shuffled order.
  • →If your count equals your range size (e.g., count 10, range 1–10), the output is a full shuffle of every number in the range.
  • →For sampling a percentage of a pool — say 10% of 200 entries — set max to 200, count to 20, and use the numbers as row indices in your data.
  • →Run the generator several times and compare outputs to verify randomness; true uniform distribution means no single number should dominate across many batches.
  • →When assigning team numbers in sports, set min to your lowest jersey number and max to the highest available, so outputs map directly to real bib or jersey values.
  • →Avoid setting count very close to the range size when the range is large (e.g., 999 out of 1000) — the algorithm still works, but consider whether you actually need the excluded number instead.

FAQ

how to generate random numbers without duplicates in a batch

Set your min value, max value, and count, then click Generate. The tool shuffles the entire integer pool using a Fisher-Yates algorithm and slices the first N values, so every number in the output is unique by construction. No post-processing or duplicate checks needed on your end.

is this generator fair enough for a real lottery or raffle draw

Yes — Fisher-Yates gives every possible combination of N numbers an equal probability of appearing, which is the statistical definition of an unbiased draw. It's well-suited for informal lotteries, classroom raffles, and team-selection draws. For legally regulated competitions, check your jurisdiction's rules on acceptable randomization methods.

what's the difference between this and a normal random number generator

A standard generator picks each number independently, so repeats are possible and even likely in large batches. This random numbers without repeats generator samples without replacement — once a number is chosen it's removed from the pool, guaranteeing a fully unique list every time.