Random Number Generator

About Random Number Generation

A random number generator (RNG) is a tool that produces numbers that cannot be reasonably predicted. This generator uses the crypto.getRandomValues() Web API, which provides cryptographically strong random values suitable for most applications.

Types of Random Number Generators

Common Uses

• Lotteries, raffles, and prize drawings
• Statistical sampling and research
• Gaming and entertainment (dice, cards, etc.)
• Cryptographic key generation
• Monte Carlo simulations
• Randomized decision-making
• A/B testing and experiment design

How This Generator Works

This tool uses your browser's built-in cryptographic random number generator (crypto.getRandomValues()) to produce high-quality random numbers. Unlike simple Math.random() calls, this approach provides cryptographically strong pseudo-random values.

Features

• Custom Range: Set any minimum and maximum value (including negatives)
• Bulk Generation: Generate up to 1,000 numbers at once
• Integer or Decimal: Choose between whole numbers or decimals with configurable precision
• Unique Numbers: Optionally prevent duplicate values
• Sorting: Optionally sort results in ascending order

Uniform Distribution

The numbers generated follow a uniform distribution, meaning every value within the specified range has an equal probability of being selected. This makes the generator fair and unbiased for all practical purposes.

References

Learn more about random number generation from these authoritative sources:

• MDN Web Docs - Crypto.getRandomValues()
• NIST - Random Number Generation
• Wikipedia - Random Number Generation
• NIST SP 800-90A - Recommendation for Random Number Generation Using Deterministic Random Bit Generators

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