Random Number Generator
Generate random numbers in any range you set, one or many at once, with or without duplicates. No signup. Ideal for draws, sampling, games, testing and fair decisions.
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This random number generator produces one or many random numbers within any range you choose, directly in your browser. Set the minimum and maximum, decide how many numbers you need, allow or block duplicates, and press Generate. No account, no app, and no install, so it works instantly on any device for draws, sampling and decisions.
- How to Generate Random Numbers Step by Step
- How Random Number Generation Actually Works
- Software RNG Versus Dice, Hats and Physical Draws
- Who Uses a Random Number Generator
- Pro Tips for Fair and Useful Results
- Common Random Number Mistakes to Avoid
- Related Tools You May Need Next
- Frequently Asked Questions
How to Generate Random Numbers Step by Step
- Set your range. Enter the smallest and largest numbers you want. A one to one hundred range picks any whole number in that span inclusive of both ends, which suits most raffles and simple draws.
- Choose how many numbers. Decide whether you need a single number or a batch. For a raffle you might want one winner, while for a random sample you might request twenty numbers at once.
- Allow or block duplicates. Turn duplicates off when each number must be unique, such as picking five distinct raffle tickets. Leave them on when repeats are acceptable, such as simulating dice rolls.
- Press Generate. The tool produces your numbers immediately. Each press gives a fresh, independent result, so pressing again does not continue a sequence, it starts a new draw.
- Copy or record the result. Note the numbers or copy them for your records. If fairness needs to be demonstrable, generate in front of witnesses or capture the screen at the moment of the draw.

How Random Number Generation Actually Works
Randomness in software is subtler than it appears. Computers are deterministic machines, so most generate pseudo random numbers using an algorithm that produces a sequence which looks random and passes statistical tests, but is actually determined by a starting value called a seed. Given the same seed, the sequence repeats exactly, which is useful for reproducible simulations but is not true randomness. Modern browsers expose a cryptographically stronger generator for cases where unpredictability genuinely matters.
The distinction between pseudo random and truly random matters depending on the stakes. For a game, a quiz, or picking who goes first, a standard pseudo random generator is perfectly fair and indistinguishable from true randomness in practice. For security purposes such as generating passwords or cryptographic keys, only a cryptographically secure generator is acceptable, because a predictable sequence could be exploited. For a raffle among friends, either is fine.
Range and inclusivity are where users most often misunderstand a generator. A range described as one to ten normally includes both one and ten, giving ten possible outcomes. Off by one confusion, where someone expects ten outcomes but the tool produces nine or eleven, usually comes from ambiguity about whether the endpoints are included. A clearly specified inclusive range removes this doubt, which is why stating both bounds explicitly matters for anything where the exact set of possible results counts.
The duplicates setting encodes an important statistical choice: sampling with replacement versus without replacement. With replacement, every draw is independent and the same number can appear again, like rolling a die repeatedly. Without replacement, each number is removed once drawn, like pulling names from a hat, so results are unique. Choosing the wrong mode quietly breaks fairness, for example allowing the same raffle ticket to win twice when it should have been set aside after the first draw.
Software RNG Versus Dice, Hats and Physical Draws
| Method | Strengths | Weaknesses | Best for |
|---|---|---|---|
| This online generator | Any range, single or bulk, duplicate control, instant, no cost | Software randomness, needs a device, less tangible than a physical draw | Raffles, sampling, testing, quick fair decisions |
| Physical dice or coins | Tangible and visibly fair, no device needed | Limited range, slow for many draws, dice can be biased if worn | Small ranges and in person games |
| Names in a hat | Obviously fair to everyone watching, no technology | Tedious to prepare, impractical for large groups, no repeats | Small in person draws where visible fairness matters most |
| Spreadsheet random function | Scriptable, integrates with data, handles large batches | Recalculates and changes on every edit, easy to lose a result | Data work already inside a spreadsheet |
Who Uses a Random Number Generator

Pro Tips for Fair and Useful Results
Common Random Number Mistakes to Avoid
Related Tools You May Need Next
For a simple binary outcome, the Coin Flip is the clearest choice, and the Dice Roller gives a familiar one to six result with pips. To pick a name rather than a number from a list, the Random Picker selects directly from your entries.

Frequently Asked Questions
How does the random number generator work?
It uses your browser built in random number source to produce numbers within the range you set. For everyday uses such as raffles, games and sampling, this randomness is statistically fair and indistinguishable from true randomness. You choose the minimum and maximum, how many numbers to draw, and whether repeats are allowed, then generate an independent result on each press.
Is the range inclusive of both numbers I enter?
Yes, the range includes both the minimum and the maximum you set, so a range of one to one hundred can produce one, one hundred, or any whole number in between. This gives you exactly as many possible outcomes as the span implies. Set your maximum to match your list size precisely to avoid drawing a number that maps to nothing.
What does the allow duplicates option do?
With duplicates allowed, each number is drawn independently and the same value can appear more than once, like rolling a die repeatedly. With duplicates blocked, each number is unique within a single generation, like drawing names from a hat. Choose blocked for fair draws where each pick must be distinct, and allowed for independent random events.
Can I generate many random numbers at once?
Yes. Set how many numbers you need and the tool produces them all in a single generation. This is far quicker than pressing generate repeatedly, and when combined with blocking duplicates it gives you a clean random sample of unique values, which is ideal for selecting participants, tickets or records from a numbered list.
Is this random number generator suitable for passwords?
No. A general purpose random number generator is fine for draws, games and sampling, but passwords, tokens and cryptographic keys require a cryptographically secure random source. For those, use a dedicated password generator designed for security. Using a general RNG for sensitive credentials could produce predictable values and create a genuine security risk.
Is the random number generator free?
Yes, it is completely free with no account and no limit on how many numbers you generate. You can run as many draws as you like, in any range, with single or bulk output. It works entirely in your browser on phones, tablets and computers, so there is nothing to buy, download or install to use it.
How do I make a raffle draw fair with this tool?
Assign every entrant a unique number, set the range to exactly match the number of entries, and block duplicates so no one can win twice. Then generate the winning number or numbers live, ideally on a shared screen in front of participants. Generating in the open, with the range matched to the entry list, makes the draw transparent and verifiable.
Does pressing generate again continue the previous numbers?
No. Each generation is independent and replaces the previous result rather than extending it. If you need to keep earlier numbers, record or copy them before generating again. This behaviour is deliberate, since each draw is a fresh random event, which is exactly what fairness requires for separate draws.