Generate one or many random integers in any range, with optional no-repeat mode and sorting — plus quick coin flip and dice roll tools below.
One tap, instant result.
This tool draws numbers with JavaScript's built-in Math.random(), a pseudo-random number generator: a deterministic algorithm that produces a sequence which passes statistical tests for randomness — no visible pattern, roughly even distribution — without being truly unpredictable in the cryptographic sense. For picking a raffle winner, rolling dice for a board game, or breaking a tie, that distinction is invisible and irrelevant. For anything security-related, it matters a great deal, which is exactly why this site's password generator deliberately uses a different, cryptographic source (crypto.getRandomValues) instead of the one powering this page — a password generated with this tool's algorithm could, in principle, be more predictable to an attacker who has seen enough of its other output.
When uniqueness is requested, the calculator does not generate numbers one at a time and discard duplicates — that approach gets slower and slower as the available pool shrinks. Instead it builds the complete list of possible values once and shuffles it using the Fisher–Yates algorithm, then takes however many you asked for off the top. This is the standard correct way to produce an unbiased random ordering; naive alternatives (like sorting a list by a random key) are measurably less uniform. It also explains the one hard limit: asking for more unique numbers than the range actually contains — say, 10 unique values from a 1–5 range — is mathematically impossible, and the tool says so rather than returning duplicates or an incomplete list.
The output is always an integer, because Math.floor() is applied to round the raw random value down before it is shown. There is no built-in decimal mode. A close approximation is to generate within a wider integer range and mentally shift the decimal point — asking for 100 to 999 and reading the result as 1.00 to 9.99 — though this only works cleanly for a fixed number of decimal places and is not the same as a true continuous random draw.
A coin flip here is Math.random() < 0.5, which is exactly as fair as pulling a single random number between 1 and 2 and checking which half it landed in — there is nothing structurally different about a coin flip from any other random draw with two equally likely outcomes. A die roll is the same random-integer routine as the main generator, constrained to 1 through however many sides you choose (4, 6, 8, 10, 12 or 20 here), which is why rolling multiple dice and summing them is offered as a single feature rather than something you would do by hand with repeated single rolls.
Beyond games and raffles: picking a random sample from a numbered list without bias, assigning participants to study groups, choosing which of several options to try first when there is no principled reason to prefer one, and generating test data for something you are building. None of these need cryptographic-grade randomness — they need an outcome nobody, including you, could have predicted in advance, which is precisely what a decent pseudo-random generator provides.
This tool uses your browser's built-in random number generator (Math.random), which is more than sufficient for games, raffles, classroom sampling, and everyday decision-making. It is not cryptographically secure, so don't use it to generate passwords, encryption keys, or anything security-sensitive — use the Password Generator for that instead, which is built on the browser's cryptographic random source.
With no repeats enabled, every number generated is unique — like drawing raffle tickets without putting them back in the bowl. This only works if the count you're requesting is less than or equal to the total number of values in your min–max range; asking for 50 unique numbers between 1 and 10 is mathematically impossible, and the tool will tell you so rather than silently generating duplicates.
This tool generates integers only, which covers the large majority of real use cases — raffle draws, lottery number picks, random sample IDs, dice. If you specifically need a random decimal within a range, generate a wide-range integer here and divide it by a fixed number yourself (e.g., an integer 0–100 divided by 100 gives a random value between 0 and 1).
As close to 50/50 as JavaScript's random function provides — over many flips, the split converges to even, the same underlying mechanism as the range generator above. For a single flip, of course, either outcome is equally likely regardless.
Picking a raffle or giveaway winner from a list of ticket numbers, randomly assigning students or team members to groups, choosing a random sample for a survey or audit, settling a decision fairly, or generating test data for a spreadsheet or database — anywhere a genuinely unpredictable number (rather than a manually "random-feeling" one) matters.
Worked example: generating 6 unique numbers between 1 and 49 with sorting enabled mimics a lottery draw — each of the 49 numbers has an equal chance, no number repeats, and the result comes back in ascending order for easy reading.
Need the output as hex — for tokens, colour values or test data? The hex converter takes it from decimal in one step.