Random Number Generator
Random numbers within a chosen range, as many as needed at once — for picking a raffle winner, generating test data, or settling an argument about whose turn it is, without reaching for dice or a coin.
Inputs
Result
87, 20, 29, 42, 76
Range 1–100
How the random number generator works
Each number is generated uniformly at random between the minimum and maximum (inclusive), using the standard formula: floor(random() × (max − min + 1)) + min.
Up to 50 numbers can be generated in a single batch.
Worked example: 5 numbers between 1 and 100
- Each of the 5 output numbers is independently and uniformly drawn from the full range 1 to 100 inclusive.
- Because generation is random, running the calculator again with identical inputs produces a different set of 5 numbers each time.
Common mistakes to avoid
Assuming this generator is suitable for cryptographic or security purposes
This uses standard pseudo-random generation suitable for everyday tasks like games, sampling, or picking a winner — it is not designed to meet the unpredictability standards required for cryptographic keys, security tokens, or anything with real stakes riding on unpredictability.
Expecting no repeated numbers within one batch
Each number in the batch is drawn independently, so repeats within the same set are possible, especially with a small range or with many numbers requested — this generator doesn't automatically enforce uniqueness across the batch.
Frequently asked questions
Can the same number appear twice in one batch?
Yes — each of the requested numbers is generated independently, so duplicates are possible, particularly when the range is small relative to how many numbers are requested.
How is 'uniform' randomness different from other distributions?
Uniform means every value in the specified range has an exactly equal chance of being selected — no value is favoured or disfavoured relative to any other within the min-max bounds.
Why is there a cap of 50 numbers per batch?
It's a practical usability limit — beyond a certain quantity, a long list of random numbers becomes harder to use meaningfully in a typical everyday task like this tool is designed for.
Is this suitable for generating a lottery-style unique number set?
Not directly, since duplicates are possible within a batch — for guaranteed-unique sets, the numbers would need to be filtered for uniqueness after generation, or regenerated individually while checking against already-picked values.
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