Generate Small Integers is a quick way to produce random integers between any min and max range you set. Whether you’re testing, teaching, or building a dataset, you can instantly generate a custom set of numbers, control duplicates, and sort the result. It’s simple, fast, and gives you exactly what you need right on the page.
How to Use:
- Set your Min, Max, and Count values using the number fields
- Click Generate or just start typing output updates live
- View results instantly in the output box
Toggles:
- Allow duplicates – Allows repeated numbers if checked. Uncheck to generate unique values only
- Sort output – Outputs numbers in ascending order
- Maximize output – Expands the output box for better readability
Buttons:
- Generate – Runs the number generator with your current settings
- Clear All – Resets input values, toggles, and output
- Copy Output – Copies the full list to your clipboard
- Export to File – Saves the list as a
.txt
file
What Generate Small Integers can do:
It gives you a fast way to get small random integers between whatever bounds you want. Want 10 numbers between 1 and 5? Need 3 unique values from 0–9? Just fill in the values and go. You can keep duplicates if you’re simulating rolls or draws, or turn them off for sets. The sorting toggle helps tidy things up, and the live counter keeps you aware of how many were generated. Works great for testing, educational use, random demos, or filler data.
Example:
Settings:
- Min: 1
- Max: 5
- Count: 4
- Duplicates: ON
- Sort: OFF
Output:
2
4
1
2
Common Use Cases:
You might want to simulate dice rolls, generate small numbers for random draws, build example arrays for tutorials, or stress test UI components that use integers. It’s also useful for games, quizzes, or classroom tasks where you need fast, clean numbers. Whether you’re testing or just need random values this tool makes it painless.
Useful Tools & Suggestions:
After generating with Generate Small Integers, try Sort Integers to tidy up the output or Shuffle Integers if you want to mix things up for testing. Both are great for working with short, simple datasets.