Random Number Generator

Generate true random numbers and integers with our free online Random Number Generator. Supports custom ranges, decimal precision, bulk generation, and multiple probability distributions — all 100% client-side.

Ctrl + Enter generates from anywhere on the page

Your result will appear here.

Generation Mode
01 Generation rules
02 Random source

Uses Math.random(). Fast and fine for games, UI, and simulations — not intended for security-sensitive values.

03 Distribution model

Results from non-uniform models are still clamped and rounded to fit your range.

04 Scenario presets
05 Export & visualization

Copy and export buttons appear next to your result once you generate a value.

100% client-side — nothing leaves your browser
Powered by Crypto API — true randomness
Zero server logs — complete privacy

Random Number Generator

This random number generator creates truly unbiased random integers and decimals directly in your browser, with no signup, no ads, and no data ever sent to a server. Whether you need a quick number between 1 and 100 or a fully configured sample for statistical work, it's built to handle both in the same interface.

Most online random number generators stop at a simple min/max box. This one goes further in three directions. First, generation rules let you produce more than one value at a time, remove duplicates for unique draws, and sort the output automatically. Second, a random source toggle lets you choose between a fast pseudorandom generator (ideal for games, testing, and everyday use) and a cryptographically secure true-random source drawn from your operating system's entropy pool. Third, a distribution model option moves beyond flat, uniform randomness — you can generate values that follow a normal (bell curve) or Poisson distribution.

For cases where a plain min/max range isn't the right shape of the problem — for example, needing a specific number of digits rather than a numeric range — a separate Digit Count mode generates integers or decimals with an exact number of digits, up to very large lengths, without you having to calculate the range yourself.

Everything runs client-side: nothing you generate, export, or configure is logged or transmitted, which makes this tool suitable for use cases where privacy matters as much as randomness quality.

🔒 Client-side only⚡ Web Worker processing🌐 Works offline🛡️ Zero server logs

How to Use the Random Number Generator

  1. <strong>Set your range:</strong> Enter a Minimum and Maximum value to define the inclusive range. For example, 1 to 100 produces a result anywhere from 1 to 100, both ends included.
  2. <strong>Adjust quantity and rules:</strong> Open Advanced Options to set how many numbers to generate, enable "No repeats" for unique values, and choose a sort order.
  3. <strong>Choose a random source:</strong> Pseudorandom (fast) is fine for games and everyday use. Switch to True random (crypto) for security-sensitive scenarios.
  4. <strong>Pick a distribution (optional):</strong> Uniform gives every value equal probability. Normal clusters around a mean. Poisson models event counts.
  5. <strong>Try Digit Count mode:</strong> Switch to Digit Count to generate numbers with an exact number of digits, perfect for large integers or high-precision decimals.
  6. <strong>Generate and export:</strong> Click Generate or press Ctrl+Enter. Use Copy, Export JSON, or Export CSV to save your results.

Frequently Asked Questions

Got questions about randomness, privacy, or how to use this tool? We've got answers.

Is this random number generator actually random?

By default it uses a fast pseudorandom algorithm that is statistically random for everyday use — games, sampling, general decision-making — but technically deterministic under the hood. Switch the Random Source to "True random (crypto)" in Advanced Options to draw from your device's hardware entropy pool instead, which is not derived from a predictable seed.

What's the difference between Range mode and Digit Count mode?

Range mode generates a number that falls between two specific values you choose, like "between 1 and 100." Digit Count mode instead generates a number with an exact number of digits, regardless of its numeric value — useful when you care about length rather than where the number falls on a number line.

Can this generator handle very large numbers?

Yes. Digit Count mode is built specifically for this — it generates integers and decimals with as many digits as you specify, well beyond what a standard number type can represent without losing precision. Large numbers are displayed as full text strings, not rounded approximations.

Can I generate a random decimal number, not just an integer?

Yes. In Digit Count mode, set Decimal Places to any value greater than zero to get a decimal result with that many digits of precision after the decimal point, alongside your chosen number of integer digits.

What does "No repeats" actually do?

When enabled, every value in a single batch is guaranteed unique — no number will be generated twice in that result set. Leave it disabled when repeats are natural, such as repeated or sampling with replacement.

Should I use Pseudorandom or True Random?

Use Pseudorandom for speed in everyday situations — games, UI testing, classroom examples — where reproducibility or raw speed matters more than cryptographic guarantees. Use True Random whenever the result must be genuinely unpredictable, such as security-related values or anything where someone could benefit from guessing the outcome in advance.

What is a distribution model, and do I need to change it?

Most people never need to change it — Uniform (the default) means every possible value is equally likely, which is correct for most everyday randomization. Normal and Poisson distributions are for more specific cases, like simulating realistic data with a natural cluster around an average.

Is my data stored or sent anywhere?

No. Every calculation, including the true-random option, runs locally in your browser. Nothing about your inputs, your generated numbers, or your settings is transmitted to or stored on a server.

Can I export the numbers I generate?

Yes. Once you generate one or more values, Copy, Export JSON, and Export CSV options appear alongside your result, so you can move the output directly into a spreadsheet, script, or database.


Need help or want to go deeper?
Check out our comprehensive guides:


Automated E2E Test Suite Logs

Our build systems validate edge-case processing under extreme conditions before each deployment.

Stability
100.0%
Passed
35/35
Env
V8-Sandbox
Engine: Vitest RunnerUpdated: 2026/7/16 02:08:13
PASSRandomNumberGenerator renders Minimum and Maximum labels
PASSRandomNumberGenerator renders Generate button
PASSRandomNumberGenerator shows empty result message initially
PASSRandomNumberGenerator renders Advanced options toggle
PASSRandomNumberGenerator renders trust strip
PASSRandomNumberGenerator shows shortcut hint
PASSRandomNumberGenerator renders result after clicking Generate (Range mode)
PASSRandomNumberGenerator opens Advanced panel on toggle click
PASSRandomNumberGenerator shows Copy and Export buttons after generation
PASSRandomNumberGenerator accepts initialMin and initialMax props
PASSRandomNumberGenerator renders scenario presets section when advanced is open
PASSRandomNumberGenerator does not crash with extreme initial values
PASStoFullString converts safe integers normally
PASStoFullString handles Infinity and NaN
PASStoFullString prevents scientific notation for large numbers
PASStoFullString converts non-finite values safely
PASSuniformIntPRNG generates values within [min, max]
PASSuniformIntPRNG handles single-value range
PASSuniformIntPRNG produces multiple values within range
PASSrandomNormal returns a finite number
PASSrandomNormal clusters around the mean for many samples
PASSrandomPoisson returns a non-negative integer
PASSrandomPoisson averages near lambda for large samples
PASScomputeDigitDistribution finds 100% for a single digit repeated
PASScomputeDigitDistribution returns equal percentages for uniform digits
PASScomputeDigitDistribution ignores non-digit characters
PASScomputeDigitDistribution handles empty string
PASScomputeDigitDistribution handles decimal point in string
PASSgetRandomDigits returns a string of the requested length (PRNG)
PASSgetRandomDigits returns a string of the requested length (TRNG)
PASSgetRandomDigits returns empty string for length 0
PASSgenerateExactInteger generates exactly N digits
PASSgenerateExactInteger first digit is never zero for multi-digit numbers
PASSgenerateExactInteger returns single digit for length 1
PASSgenerateExactInteger returns "0" for length 0 or negative
⏱️ 0.18ms📦 1.5KB🎚️ Max Nesting: 3🌿 AST Nodes: 48🛡️ V8 Heap: Healthy
$ codecaven-validator --scope=tool● CLUSTER COMPLIANT

Tool Changelog & Updates

v1.0.02026-07-06
  • Feature: Initial release with full random number generator: supports integer and decimal generation, Range mode and Digit Count mode, PRNG/TRNG source switching, uniform/normal/Poisson distributions, scenario presets, histogram visualization, and bulk export (JSON/CSV).