Utilities February 25, 2025 · ~5 min read

Random Number Generator: Pick Numbers for Giveaways & Games

Generating truly random numbers is surprisingly difficult for computers. This guide explains how random number generators (RNGs) work and how to use our tool for giveaways, games, and sampling.

What is a Random Number Generator?

A Random Number Generator (RNG) is an algorithm designed to produce a sequence of numbers that lack any predictable pattern. On computers, there are two main types: Pseudo-Random (software-based) and True Random (based on physical phenomena).

How Our Tool Stays Secure

Most basic web calculators use Math.random(), which is fine for simple games but not very secure. Our Random Number Generator uses the Web Crypto API, specifically window.crypto.getRandomValues(). This method provides high-entropy randomness generated by your operating system, making it much harder to predict or manipulate.

Common Use Cases

  • Giveaways & Raffles: Assign a number to each participant and generate a random winner.
  • Statistical Sampling: Pick random data points from a larger set to avoid bias.
  • Education: Probability lessons and classroom games.
  • Gaming: Generating "dice rolls" or character stats for tabletop RPGs.
💡 Logic Tip: If you are picking multiple winners from one pool, always click "Unique Numbers". This ensures the same person doesn't win twice in the same round!

Mastering the Advanced Settings

  • Min & Max: Define your boundaries. You can use negative numbers too!
  • Quantity: Generate up to 1,000 numbers in a single click.
  • Sorting: Great for organized lists or numerical data entry.
1Enter your range (e.g., 1 to 100).
2Select how many numbers you need.
3Click generate and instantly copy your results.

FAQ

Is this safe for cryptography or passwords?

While we use the high-quality Crypto API, we recommend using our dedicated Password Generator for security-critical tasks, as it includes specific logic for character diversity.

What is the maximum range?

You can generate integers within the safe range for JavaScript, which is approximately ±9 quadrillion. However, for most users, ranges like 1-1,000,000 are the standard.

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