What this tool does
Random Number Generator creates random integers, decimals, unique sequences, dice rolls, and Gaussian distributions with configurable ranges, formats, and statistics.
Generate random integers, decimals, unique sequences, dice rolls, and Gaussian distributions with statistics and seed support.
Validates numeric bounds, count limits, integer-only ranges, and unique-sample feasibility. Browser random values are suitable for everyday sampling, not cryptography or regulated draws. Seeded runs are reproducible for fixtures; leave seed blank for fresh samples.
Random Number Generator creates random integers, decimals, unique sequences, dice rolls, and Gaussian distributions with configurable ranges, formats, and statistics.
It helps developers, testers, educators, and tabletop gamers generate random samples, test data, dice rolls, and statistical simulations.
Uniform mode uses the shared deterministic random core. Gaussian and dice modes extend that with browser-side distributions and seed support.
Uniform generates flat-random values between min and max. Gaussian produces a bell-curve. Dice rolls N dice of S sides plus a modifier.
Choose the distribution that matches your use case. Use a seed when you need reproducible fixtures.
Random number generation happens locally in your browser.
Browser random values are suitable for everyday sampling, not cryptography or regulated draws.
A bell curve where most values cluster around the mean with spread controlled by standard deviation.
No. For security-sensitive applications, use a dedicated CSPRNG.
Create random integers or decimals within a specific range for populating test databases.
Use dice mode to roll RPG dice like 3d6 or 1d20.
Use Gaussian distribution for scores or measurement noise.
Generate unique random integers to sample items without repetition.
Move between UUIDs, ULIDs, NanoIDs, passwords, hashes, random numbers, usernames, and placeholder names while keeping randomness, secret-handling, and collision caveats visible.