Random Number Generator
Generate one or more random numbers within any range. Option to generate unique (non-repeating) numbers. Copy results instantly.
Enter a range and click
Generate Numbers
Recent Generations
About the Random Number Generator
This tool generates truly random integers within your specified range. You can generate a single number or multiple numbers at once. The "Unique" option ensures no number is repeated in the same batch — useful for lottery picks, random sampling, or assigning random order.
How Random Numbers Are Generated
We use the browser's Math.random() function which uses a Mersenne Twister or Xorshift algorithm seeded by system entropy. The numbers are uniformly distributed — every integer in your range has exactly the same probability of being selected.
Common Uses
- Lottery picks: Generate 6 unique numbers between 1 and 49
- Random team assignment: Assign team numbers to participants
- Raffle draws: Pick a winner from numbered entries
- Games: Random starting positions, random player order
- Statistics: Random sampling from a numbered population
Random Number Generator Examples
Lottery picks: Set Min=1, Max=49, Count=6, check Unique → generates 6 unique lottery numbers.
Classroom random pick: 30 students numbered 1–30. Set Min=1, Max=30, Count=1 → pick one student randomly.
Secret Santa assignment: 8 people (1–8). Set Min=1, Max=8, Count=8, Unique → creates a random assignment order for everyone.
Frequently Asked Questions
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You can set any range from negative numbers to extremely large positive numbers. The tool handles any integer range. For very large ranges (millions), all numbers have equal probability.
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When "Unique" is checked, each generated number will be different from all others in the same batch. This is useful for lottery-style draws where you need non-repeating selections.
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Yes! Set the Minimum to a negative number (e.g., -100) and Maximum to a positive number (e.g., 100). The generator works with any integer range.
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The numbers are pseudo-random, generated by a deterministic algorithm seeded with system entropy. For most practical purposes (games, sampling, decisions), they're indistinguishable from truly random numbers.