Random Number Generator

How to Use the Random Number Generator

1. 1Enter the minimum number — the lowest value you want the generator to include.
2. 2Enter the maximum number — the highest value in your range.
3. 3Choose how many numbers to generate in the 'How many?' field.
4. 4Click Generate Random Numbers. Your results appear as individual chips — easy to read and copy.

Random Number Generator With No Repeats

Disabling duplicates tells the generator to pick each number at most once from your range. If your range is 1–100 and you request 10 numbers with duplicates off, every result in the list will be a different value.

One important constraint: the number of requested results cannot exceed the count of integers in your range. A range of 1 to 5 only has 5 possible integers, so requesting 8 unique numbers from it isn't possible. The generator shows a clear message explaining the maximum available.

Random Number Generator 1 to 10

One of the most common uses is picking a number from 1 through 10. Click the 1 – 10 quick range button, set Quantity to 1, and click Generate. You instantly get a single random number between 1 and 10 — useful for settling small decisions, simple games, or classroom activities.

You can also use this range to mimic a simple 10-sided die or to randomly order a list of up to 10 items. Need to pick a winner from a small group? Assign each person a number from 1 to 10 and generate one result.

Random Number Generator 1 to 100

The 1 to 100 range is popular for games, classroom activities, giveaways, and random selections. Click the 1 – 100 quick range button or type the values manually, then choose how many numbers you need.

• •Games: Pick a mystery number and have players guess — reveal it with the generator.
• •Classroom: Randomly select a student from a numbered list without favouritism.
• •Giveaways: Assign entrants numbers 1 to 100 and draw one or more winners.
• •Random selections: Divide a group into teams, assign tasks, or pick an order.

For multiple winners, set Quantity to the number of prizes and turn duplicates off so each ticket wins at most once. For example: 5 winners from 100 entries → Quantity 5, Duplicates off.

Random Number Generator for Games

Games rely on unpredictable outcomes to stay engaging. Here's how the generator fits into common scenarios:

The generator uses JavaScript's built-in pseudorandom algorithm. For most game purposes, this is fully adequate — results are unpredictable within a session and well-distributed across the range.

Random Number Generator for Raffles and Giveaways

Running a raffle or online giveaway? Assign each entrant a ticket number, then use the generator to draw winners. Disabling duplicates ensures no ticket number appears twice in the results.

If your giveaway has specific legal or promotional requirements around how winners are selected and notified, check the applicable rules for your region. This tool handles the random selection step and produces copy-ready results.

You can also use the Decision Wheel if you prefer a visual spin-to-win experience for selecting from a named list of participants.

How Random Number Generators Work

Software random number generators use mathematical algorithms to produce a sequence of numbers that appear unpredictable. Given a starting value (the seed), the algorithm produces a deterministic sequence — but because the seed changes automatically based on timing or system state, the output looks random to users.

This tool uses Math.random() — the standard browser pseudorandom function. It selects a floating-point value between 0 and 1, then scales and rounds it to fit within your chosen min–max range. The formula used internally is:

Both min and max are inclusive, negative numbers are handled correctly, and large integer ranges work within JavaScript's safe integer limits (Number.MAX_SAFE_INTEGER).

Random vs. True Random Numbers

For most everyday needs — games, classroom picks, deciding what to eat, small giveaways — a pseudorandom generator produces results that are perfectly adequate. The statistical distribution across your range is uniform and results are not predictable in practice.

Common Use Cases at a Glance