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Random Number Generator

Generate random numbers between any range. Choose integers or decimals, generate up to 100 numbers at once, and copy all results.

Random Number Generator

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What Is a Random Number Generator?

A random number generator (RNG) produces numbers that cannot be reasonably predicted in advance. Our tool uses your browser's built-in Math.random() function — a pseudo-random number generator (PRNG) that is fast, uniform, and suitable for most everyday uses.

Pseudo-Random vs. True Random

Pseudo-random generators use a mathematical algorithm seeded with a starting value (often the current time). They produce sequences that appear random but are technically deterministic. Browser Math.random() is pseudo-random and is not suitable for cryptography or gambling systems.

True random generators derive randomness from physical phenomena — atmospheric noise, radioactive decay, or thermal noise. Services like random.org use atmospheric noise. For most everyday applications (picking lottery numbers by hand, game decisions, random sampling), a pseudo-random generator is indistinguishable from true random.

Common Uses for Random Number Generators

  • Picking raffle or lottery winners fairly
  • Randomizing order (who presents first, who picks first)
  • Statistical sampling from a population
  • Game design: dice rolls, card shuffles, loot drops
  • Password component generation (for non-security-critical uses)
  • A/B test group assignment
  • Teaching probability and statistics

Uniform Distribution

Math.random() produces numbers from a uniform distribution — every number in the range is equally likely. This is correct for most purposes. Some use cases need different distributions (normal/bell-curve, exponential, Poisson) which require additional transformation.

Frequently Asked Questions

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