Random Number Generator
Generate random numbers in any range, instantly.
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Generate random numbers in any range, instantly.
Please check your inputs.
A random number generator (RNG) produces numbers that have no predictable pattern. Our free online tool is ideal for giveaways, lottery draws, classroom name picks, research sampling, board games, and any situation where you need a fair, unbiased result. Unlike rolling dice or drawing from a hat, a computer-based RNG is infinitely repeatable and has no physical bias.
The most common request is a random number 1 to 100, which is why our tool is set to this range by default. Simply press Generate to instantly get a truly random number between 1 and 100.
This tool uses window.crypto.getRandomValues() — the Web Crypto API built into every modern
browser. Unlike Math.random(), which uses a deterministic algorithm,
crypto.getRandomValues() draws entropy from your operating system's hardware random number
generator. This makes it suitable for security-sensitive applications, not just games. Each number in your
chosen range has an exactly equal probability of appearing on every generation.
In the world of computing, there are two main types of randomness: True Random Number Generators (TRNGs) and Pseudorandom Number Generators (PRNGs). TRNGs extract randomness from unpredictable physical phenomena, such as atmospheric noise or radioactive decay. PRNGs, on the other hand, use mathematical algorithms to produce sequences of numbers that only appear random but are entirely determined by an initial value called a seed. Our tool bridges the gap by using a Cryptographically Secure Pseudorandom Number Generator (CSPRNG), which relies on your device's hardware entropy to seed the algorithm, providing a level of unpredictability suitable for security and cryptography.
Long before computers existed, humans sought ways to generate random numbers for games, divination, and decision-making. The earliest methods included drawing lots, flipping coins, shuffling cards, and throwing dice—some of the earliest known dice date back to 3000 BCE in the Near East. In the 20th century, researchers needed large tables of random numbers for statistical sampling and simulations. In 1955, the RAND Corporation published a famous book called "A Million Random Digits with 100,000 Normal Deviates," generated using a specialized electronic roulette wheel.
Random numbers are the invisible backbone of modern digital life. Beyond simple lottery draws and classroom decisions, high-quality randomness is essential for encrypting your internet traffic, generating secure passwords, and ensuring fair matchmaking in online multiplayer games. Even scientific research relies heavily on random number generators for Monte Carlo simulations, which help predict complex systems like weather patterns, financial markets, and fluid dynamics.
Math.random(), this tool uses
crypto.getRandomValues which draws from your OS's hardware random number generator.
It is cryptographically secure and suitable for security applications, games, and statistical
sampling.