Random Number Generator

1. Enter the minimum and maximum for your range, for example 1 and 100.
2. Press Generate Random Number — the result appears immediately, with no page reload.
3. Open Advanced Options for quantity, unique numbers, sorting, multiple sets, exclusions and decimals.
4. Copy, download or share the result; every generation is kept only in your local browser history.

Every value comes from crypto.getRandomValues(), the browser Web Crypto API. The browser seeds the generator from operating-system entropy, so the output is suitable for games, classroom draws, testing and everyday decisions.

Mapping a 32-bit random value onto an arbitrary range with a simple % operation would make low values slightly more likely. To prevent that, the generator uses rejection sampling: draws that fall outside the largest exact multiple of the range are discarded and redrawn. Requests for unique numbers use a partial Fisher–Yates shuffle for small ranges and a sparse algorithm for huge ranges, so memory use stays low even for ranges like 1–1,000,000,000,000. Decimal numbers are produced by scaling the range to integers, sampling securely, and dividing back, which keeps the distribution even.

The entire pipeline runs in your browser. Range settings, results and history never leave your device, and the local history can be cleared at any time. When you request multiple sets, each set is generated independently, so two sets can contain the same value — switch on unique numbers when that matters.

• Roll a die: minimum 1, maximum 6, quantity 1 → a value such as 4.
• Pick six unique numbers from 1–49: quantity 6, unique on → for example 7, 12, 23, 31, 44, 48. Intended for games, practice and entertainment, not as a lottery operator.
• Assign numbers to a class: minimum 1, maximum 30, unique on, ascending → 1–30 in a random order.
• Generate decimals: minimum 0.5, maximum 9.5, decimal mode with 2 places → values such as 3.27, 8.04, 1.93.

• Board games, tabletop role-playing and classroom activities that need a quick number.
• Drawing winners or assigning order for quizzes and giveaways, where local rules may apply.
• Creating mock data, test inputs, sample identifiers and randomized practice problems.
• Sampling items or seats without repeats, using the unique-numbers mode.
• Running quick simulations where a transparent, client-side process matters more than statistical modelling.
• Learning probability and statistics with reproducible, transparent logic.