About

Randomness is critical in fields ranging from statistical sampling to digital security. While standard tools often rely on basic algorithms that repeat patterns over time, this tool utilizes the Web Crypto API to ensure high-entropy results. This makes it suitable for scientific modeling, fair raffle drawings, and rigorous testing scenarios.

This utility allows you to define precise boundaries (min/max), choose between integers and floating-point numbers, and enforce uniqueness within the result set to simulate drawing without replacement.

Formulas

To convert raw random bytes into a number within your specified range $[min, max]$, we use the following mapping logic:

Result = floor( RandomFactor * (Max - Min + 1) ) + Min

Where RandomFactor is derived from a 32-bit cryptographically secure integer normalized to $[0, 1)$.

Reference Data

Method	Predictability	Use Case
Math.random()	Medium	UI animations, casual games
CSPRNG (This Tool)	Extremely Low	Cryptography, lotteries, scientific sampling
Physical RNG	Zero	High-stakes hardware encryption

Frequently Asked Questions

It stands for Cryptographically Secure Pseudo-Random Number Generator. Unlike standard generators, CSPRNGs use entropy sources (like system noise) to make the numbers statistically indistinguishable from true randomness and impossible to predict.

Generating massive arrays of cryptographically secure numbers is computationally intensive. We limit the batch size to ensure the browser interface remains responsive.