Free random number generator

How the random number generator works

This free random integer generator creates one or more groups of numbers between a minimum and maximum you choose. Results update when you press Generate — instantly, privately, in your browser.

1. Choose count and range

   Set how many numbers you need and the inclusive min/max bounds — for example 6 numbers between 1 and 49.

2. Pick unique or duplicates

   Unique mode is ideal for raffles, lottery-style draws, and sample sets. Allow duplicates when repeats are fine.

3. Generate groups and sort

   Create multiple groups in one click, optionally sort ascending or descending, and format output with new lines, commas, or spaces.

4. Copy your results

   Copy everything to the clipboard for spreadsheets, chats, or test fixtures — no account required.

Who this generator is for

• Teachers and facilitators drawing random student or raffle numbers
• Developers creating quick sample IDs and test data
• Anyone running a fair pick from a numeric range
• Teams that want a clean, private browser tool — no signup

Random number examples and related test data

The minimum and maximum are inclusive, so a range from 1 to 10 can return either endpoint. For a classroom draw, request 5 unique numbers from 1 to 30; for simulation data where repeats are allowed, generate with duplicates enabled. Unique results cannot exceed the number of integers in the selected range.

Developers creating complete mock records can pair numeric sample values with fictional contact fields from the US random address generator or UK random address generator. Those generated addresses are test data and should not be used for real mail or identity checks.

Range, count, and uniqueness

The generator draws integers from a minimum to a maximum you set, inclusive of both ends if you include them in the range. A count is how many integers you want. Uniqueness means the draw will not repeat a value until the range is exhausted. The count cannot exceed the width of the range when uniqueness is on. Asking for 10 unique integers between 1 and 6 is impossible. The honest result is an error or a shorter list, not a list that quietly repeats. Allow duplicates when you are simulating dice, where repeating a face is the point. Require uniqueness when you are assigning seats, raffle places, or sample IDs that must not collide.

Sorting is a display choice. The draw itself is not “more random” because it is unsorted, and it is not less random because you sort it afterward for reading. Groups split a list into labeled sets of a size you choose, which is useful for teams or for batches in a test plan. The grouping happens after the numbers exist. It does not change the range.

What “random” means here

The numbers are produced for everyday sampling: classroom examples, a raffle among friends, dummy IDs in a prototype, a shuffled order of quiz items. The page uses the browser’s ordinary random source for that kind of draw. It is not a hardware random generator, and it is not a place to create cryptographic keys, passwords, or gambling outcomes where the stakes require an audited process. If a contest has rules about witnessing the draw, follow those rules. A screenshot of a web page is only as good as the procedure you agreed.

A single draw does not remember the last visitor’s numbers. Refreshing produces a new draw. That is what you want for a sample and what you do not want if you needed a reproducible sequence. When a test suite needs the same integers every run, seed a generator in the test code. Do not expect this page to replay today’s list tomorrow. Copy the numbers into the test fixture if they must stay fixed.

Worked draws

Range 1 through 50, count 6, unique, unsorted: you get six different integers, each between 1 and 50. The chance of a specific integer is not the point of the tool’s display. The constraint you can see is uniqueness and the bounds. Sort them if you are checking a lottery-style line by eye. Range 1 through 6, count 20, duplicates allowed: you are rolling a die 20 times, and repeats are expected. Range 1000 through 9999, count 15, unique: you have a small set of four-digit sample IDs. Check that 1000 and 9999 are allowed if your schema treats them as special. The generator will include the endpoints you set.

A group size of 5 on 15 IDs yields three groups. If the count does not divide evenly, decide whether the last group may be short before you treat the groups as fair teams. The page splits the list it drew. It does not rebalance for skill, region, or any attribute other than the integer. People are not integers. Use the groups as a random partition, then adjust by hand if a constraint exists that the form never saw.

Inclusive bounds and an empty draw

If the minimum and maximum are both 10, the only integer in the range is 10. A unique count of 1 succeeds. A unique count of 2 cannot. Read that failure as a range problem, not as a broken button. Inclusive bounds mean the endpoints are allowed outcomes. People who want numbers strictly between 1 and 10, excluding both, should set the minimum to 2 and the maximum to 9. The page will not guess that “between” was exclusive. Groups are applied after a successful draw. If the draw fails, there is nothing to group. Fix the count or the range first, then choose a group size. A group size larger than the count produces one short group, which you should expect before you treat it as an error.

Sampling without a false sense of precision

A draw of six unique integers from 1 to 50 is a sample, not a forecast. The page does not tell you the probability of each integer beyond the constraint you set: bounds, count, and whether repeats are allowed. If you need a classroom demonstration of equally likely faces, use a small range such as 1 to 6 and allow duplicates so the list behaves like repeated die rolls. If you need one winner from a list of entrants, number the entrants yourself and draw a single integer inside that numbering. The generator does not know the entrants. It only knows the integers. Publishing the range and the count next to the result is what makes the draw explainable later.

Very large ranges are fine for dummy IDs and poor for “pick a person” if many integers in the range are unused. Unused numbers are missed chances only if you then reject them and redraw by hand. Set the maximum to the last assigned number instead. Copy the result immediately if the procedure requires a record. The next visit will not reproduce it. For a reproducible test, paste the copied line into the fixture. The generator’s role ends at the draw.

Bias you can introduce by accident

A range that is wider than you think includes numbers you will reject and redraw. Rejecting and redrawing by hand can bias the result if you only redraw some values. Set the range to the values you will actually accept. Leading zeros are not part of an integer. 7 and 007 are the same integer. If you need fixed-width codes, format them after the draw. Negative numbers are allowed when your minimum is negative. A minimum that is greater than the maximum is a swapped range, not a mysterious empty draw. Swap them.

Do not use the output as a fake address, a fake identity, or a security token. Sample addresses have their own generators, with the explicit limit that they are test data. Passwords and session secrets belong in a password manager or a cryptographic library. This page is finished when the integers are on the screen and you have copied the ones you needed.

Random number generator FAQs