Random Number Generator.

Set your range and count — get cryptographically random results instantly.

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Click Generate

What is a random number generator?

A random number generator produces numbers with no discernible pattern — each number in the range is equally likely. True randomness has applications across gaming, statistics, cryptography, education, and decision-making. This tool uses the browser's cryptographic random API to generate high-quality random numbers with no predictable sequence.

Capabilities

What You Get

Backed by the browser's crypto API rather than Math.random, so results are suitable for draws and sampling.

Cryptographic Source

Uses the Web Crypto API rather than the predictable Math.random.

Any Range

Set your own minimum and maximum bounds for the draw.

Bulk Generation

Produce many numbers at once instead of rolling repeatedly.

Unique Mode

Exclude repeats when drawing winners or sampling without replacement.

One-Click Copy

Copy the whole result set straight to the clipboard.

No Seed Stored

Nothing about your draws is recorded, logged, or transmitted.

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FAQ

Random Number Generator FAQ.

How are the random numbers generated?

The tool uses the browser's crypto.getRandomValues() API, which generates cryptographically secure pseudorandom numbers using the operating system's entropy pool. This is much higher quality than Math.random().

What is the maximum number of values I can generate?

You can generate up to 500 numbers at once. For larger batches, generate multiple sets and combine them.

How does the 'Unique only' option work?

With unique mode on, each generated number can only appear once in the result set. The range must be large enough to contain the requested count of unique integers.

Can I generate decimal numbers?

Yes. Toggle 'Decimals' on and the generator will produce numbers with up to 4 decimal places within your specified range. The min and max values can also be decimals.

Is a random number between 1 and 10 truly uniform?

Yes. The generator maps the random bytes to your range using floating-point arithmetic, ensuring all values in the range are equally likely. Edge values (min and max) are included.

What is the difference between random and pseudorandom?

True randomness requires a physical entropy source (atmospheric noise, radioactive decay). Pseudorandom numbers are generated by algorithms that produce sequences indistinguishable from random for practical purposes. The crypto API uses the OS entropy pool, making it suitable for security-sensitive uses.