Random Number Generator
Pick a random number instantly — perfect for raffles, lottery, and dice rolls. Session history and entropy stats. Free, cryptographically secure, no sign-up.
Updated April 2026
How to generate a random number
Set your range, pick a quantity, generate instantly
1. Set the range
Enter a minimum and maximum value — negative numbers work too.
2. Choose how many
Generate 1 to 1,000 numbers at once, with or without duplicates, sorted or shuffled.
3. Generate and copy
Press Space to reroll or Shift+Enter to copy the results instantly.
What this random number generator does
Built for one-off draws, with full transparency
Session history
Every draw is logged so you can review or audit past results.
Seed and latency stats
Shown after each generation so you can see exactly how the number was produced.
Rejection sampling
Removes the modulo bias that affects naive random number implementations.
Negative range support
Set any negative minimum — the full range of integers is supported.
Example configurations
When you'll reach for this tool
The most common scenarios among people who use it
Giveaways and raffles
Assign each entrant a number and pick a statistically fair winner.
Lottery numbers
Set the range to match the game's rules and generate a full ticket in one click.
Games and tie-breakers
Stand in for a physical die or settle a tie in a board game.
Development and testing
Generate test IDs or seed database fixtures with varied values.
Common mistake? Start here
Asking for more unique numbers than the range allows
With duplicates turned off, quantity can't exceed (Max − Min + 1) — the generator will reject the request.
Mistaking pseudorandom for unreliable
For everyday use, the practical difference between quality pseudorandomness and true randomness is zero.
Generating more than 1,000 numbers in one call
That's the per-generation cap — for larger batches, use the Random List Generator instead.
Why use this random number generator
Session history plus seed and latency stats after every generation give you full transparency into the process — something most simple generators never show you.
It uses rejection sampling to remove the modulo bias that many online generators ignore, so every number in your range has exactly the same probability of appearing.
Math.random() vs. crypto.getRandomValues()
Why the source of randomness matters
Frequently asked questions
Set Min to 1, Max to 10, Quantity to 1, and click Generate. Each of the ten numbers has exactly a 10% chance of coming up.
References
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