C++ Random Number Generator
History
- Your recent results show up here.
Favorites
- Star a result to keep it.
Tip: press Space to generate, C to copy.
Stuck choosing a c++ number? It returns a uniformly random number across whatever range you set — no patterns, no repeats unless you allow them. Useful for raffles, testing, sampling, and fair decisions.
Truly random numbers matter more than people expect — for fair draws, unbiased sampling and quick test data. This c++ number generator uses your browser's cryptographic random source, so results aren't the predictable pseudo-random sequences some simple tools produce.
Example c++ numbers you might get
A few c++ numbers this generator can land on: 45, 35, 42, 70, 38, 74, 80, 2, 83, 50.
How the C++ Random Number Generator works
Enter a minimum and maximum, choose how many values you want, and the generator returns uniformly distributed numbers from your browser's cryptographic RNG. Flip on unique to guarantee no duplicates within a draw.
Ways to use it
- Use the c++ number generator to create quick, realistic sample data for a project.
- Use the c++ number generator to draw lottery-style numbers.
- Use the c++ number generator to spice up a classroom or icebreaker activity.
- Use the c++ number generator to run a fair raffle or giveaway draw.
Tips for better results
- Generate a batch and shortlist the results you like instead of taking the first one.
- Copy any result with one click, or use the Space bar to generate again quickly.
- Turn on the no-repeats option when you want a unique set rather than independent draws.
Frequently asked questions
Is this suitable for raffles or sampling?
It's great for casual raffles and sampling. For regulated draws, pair it with a documented procedure.
Can I avoid duplicate numbers?
Yes, enable unique and a single draw will contain no repeats.
Does it work on mobile?
It does — the generator is fully responsive and works the same on phones, tablets, and desktops.
Are the numbers cryptographically random?
They use the browser's crypto RNG, which is far stronger than typical pseudo-random functions — suitable for fair draws and sampling.