Pick a range, choose how many numbers you want, and get random numbers instantly. Block repeats if you need unique picks — everything runs in your browser, nothing is uploaded.
About this random number generator
This free tool gives you random numbers between any two values you choose. Use it to draw raffle winners, roll for games, pick numbers for draws, assign random IDs, or sample data. Set a minimum and maximum, choose how many numbers you want, and decide whether repeats are allowed. When your browser supports it, numbers come from a cryptographically strong source (crypto.getRandomValues); otherwise it falls back to the standard generator. Everything happens on your device — nothing is uploaded.
Frequently asked questions
- How random are the numbers?
- When your browser supports it, the tool uses crypto.getRandomValues, a cryptographically strong random source built into modern browsers. Older browsers fall back to Math.random. Either way, numbers are generated on your device.
- How do I get numbers with no repeats?
- Uncheck Allow duplicates. The tool will then return unique numbers. The count you ask for must be no larger than how many numbers fit in your range, otherwise you will see an error.
- Is anything sent to a server?
- No. All numbers are generated locally in your browser, so the tool works offline and nothing is uploaded.
Understanding Randomness and Probability
True randomness is difficult to achieve in computing because computers operate on deterministic logic. Most software-based generators rely on pseudo-random number generators, which use mathematical algorithms to produce sequences that appear random but are derived from an initial seed value. When a browser uses a cryptographically secure method, it collects entropy from hardware events like mouse movements or thermal noise to create unpredictable results. This approach ensures that the output is statistically indistinguishable from a truly random sequence.
The core logic behind generating a number within a specific range involves taking a random fraction between zero and one and scaling it. To get an integer between a minimum and maximum, the system multiplies the random fraction by the total count of possible values, which is defined as the maximum minus the minimum plus one. This result is then rounded down to the nearest whole number and added to the minimum value. This formula maps the abstract probability onto your chosen integer interval.
A common mistake users make is assuming that randomness guarantees an even distribution over a small set of trials. People often expect that if they generate ten numbers, every digit in their range will appear exactly once, but true randomness frequently produces clusters or repetitions. This phenomenon is known as the gambler's fallacy, where individuals incorrectly believe that past outcomes influence future ones. If you require a perfectly uniform distribution without repetition, you must use a shuffling algorithm rather than independent random selection.