Random Number Generator Online Free

The fastest online randomizerpick a number from any range, generate multiple unique numbers with no duplicates, and download as a list. Our browser-based randomizer uses the Web Crypto API for true randomness. No download, no account, 100% private.
True Random · No Duplicates · Bulk Generation · Statistics · Free

Generated Result
Number Range
Quantity & Output Format
Options
Statistics
Minimum
Maximum
Median
Average
Sum
Count
Generated Numbers

How It Works

1. Set Range

Enter your minimum and maximum values or click a quick preset to set a common range instantly.

2. Choose Options

Set quantity, enable no-duplicates for raffles, choose sort order and output separator.

3. Generate

The Web Crypto API generates cryptographically secure random integers in your range instantly.

4. Copy or Download

Copy results to clipboard or download as a .txt file. Use statistics for data analysis.

What Is a Random Number Generator?

A random number generator (RNG) produces numbers that cannot be predicted from any previous output. This true random number tool uses window.crypto.getRandomValues() — the browser's Web Crypto API — which draws from the operating system's entropy pool (mouse movements, timing jitter, hardware noise). This is the same cryptographically secure pseudo-random number generator (CSPRNG) used by password managers, TLS encryption and security libraries.

Unlike Math.random() which uses a simple seeded algorithm that is technically predictable, the Web Crypto API produces output that is statistically indistinguishable from true randomness — making this browser-based randomizer suitable for secure random number generator for research, statistical sampling and cryptographic applications.

How Random Numbers Are Generated

For each number in the range [min, max], the tool fills a Uint32Array with cryptographically secure bytes, then maps the value to the desired range using modulo arithmetic. For random number generator with no duplicates, it applies the Fisher-Yates shuffle algorithm to the full range array and takes the first N elements — guaranteeing uniform distribution and no repetition.

Common Uses for a Number Randomizer

This random number picker and multiple random number generator is used across many fields:

🎁 Giveaways & Contests

The best randomizer for giveaways and contests. Set max to your entry count, enable No Duplicates for multiple winners, and screenshot the result for transparency.

🎲 Games & Simulations

Simulate dice rolls (1–6), card draws (1–52), lottery picks (6 of 49) or any game mechanic with fair, unbiased outcomes using the Dice, Card and Lottery presets.

📊 Research & Statistics

Generate random samples for surveys, A/B test group assignment, Monte Carlo simulations and statistical studies. The statistics panel shows min, max, median, average and sum.

🏫 Education

Teachers use this random number picker to randomly select students, assign problems, create quiz questions or demonstrate probability distributions.

💻 Development & Testing

Generate random test data, seed values, user IDs or port numbers. The download option makes it easy to pipe large sets of numbers into scripts or spreadsheets.

🏆 Sports & Tournaments

Create random bracket seedings, assign player numbers or randomise team matchups for fair tournament scheduling with no human bias.

Pick a Number Between 1 and 100

The most common search for this type of tool is pick a number between 1 and 100 — the default preset on this page. Click the 1–100 preset to set the range instantly, then click Generate. For a single result, the large display shows the number prominently. For multiple draws, enable No Duplicates to ensure each number appears only once — useful for classroom draws, prize tiers or statistical samples.

Generate a List of Random Numbers in a Sequence

To generate a list of random numbers in a sequence, enter your range, set Quantity to the number of values needed (up to 10,000), choose your separator (one per line, comma, space or tab), and click Generate. Use Sort ascending to generate a random sequence in order. Copy All pastes the entire list to your clipboard; Download saves it as a .txt file ready for Excel, Google Sheets or any data pipeline.

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Frequently Asked Questions

Set your minimum and maximum values (or click a preset), set Quantity to 1, and click Generate Numbers. The result appears in the large display above. Click Regenerate to get another number with the same settings, or click the ↺ button inside the display.
Yes. Enable the No duplicates toggle before clicking Generate. The tool applies a Fisher-Yates shuffle to the full range and picks the first N results — ensuring every number is unique. Note: quantity cannot exceed the range size (max − min + 1). For example, you cannot generate 50 unique numbers from the range 1–20.
Yes. This true random number tool uses window.crypto.getRandomValues() — the Web Crypto API. It draws from the operating system's entropy pool and is cryptographically secure. Unlike Math.random(), the output is not predictable and passes standard randomness tests, making it appropriate for secure random number generator for research and statistical applications.
Set min to 1 and max to your total number of entries. Enable No duplicates. Set Quantity to the number of winners. Click Generate. Screenshot or share the result — the Web Crypto API ensures no bias. This is the best online tool for picking random winners because results are cryptographically fair and produced instantly with no account needed.
Up to 10,000 in a single batch. For large quantities, the List view (toggle to List) shows all numbers in a scrollable text block separated by your chosen delimiter. Click Copy All or Download .txt to export the full list to a spreadsheet or script.
Enable Show statistics before generating. The stats panel shows the minimum, maximum, median, average (mean), sum and count of the generated set. This is useful when using the tool as a random sequence generator for statistical sampling, simulation or data analysis — you can quickly verify whether the distribution looks reasonable.