Random Number Generator
Generate random numbers with customizable ranges and options
Our random number generator helps you generate random numbers with customizable ranges. Generate-Random.org provides a free number generator that creates integers, decimals, primes, and percentages. This CSPRNG number generator uses cryptographically secure random number generation for maximum security. Generate up to 1,000 numbers with options for unique values, sorting, and bulk export. Perfect for lottery number generation, statistical sampling, and dice simulation. All numbers generated with cryptographic-quality randomness. No signup required, completely free.
Specialized Number Generators
Generate random whole numbers (integers) without decimal points. Perfect for counting, IDs, lottery numbers, and game mechanics.
Generate floating-point numbers with customizable decimal precision (1-10 places). Ideal for scientific calculations and probabilities.
Generate random prime numbers for mathematics and cryptography applications using Sieve of Eratosthenes algorithm.
Generate random percentages (0-100%) for grades, probabilities, A/B testing, and statistical simulations.
Generate random even numbers (divisible by 2) for pairing, symmetrical layouts, and balanced designs.
Generate random odd numbers (not divisible by 2) for mathematics, prime research, and visual design balance.
Generate random negative numbers for temperature simulations, debt calculations, and coordinate systems.
Generate random binary values (0 or 1) for coin flips, Boolean logic, digital decisions, and true/false scenarios.
Related Random Generators
Roll virtual dice with customizable sides (D4, D6, D8, D10, D12, D20, D100) for gaming and simulations.
Generate random lottery numbers for Powerball, Mega Millions, EuroMillions, and more.
Generate random strings with customizable character sets for testing and development
What is a Random Number Generator?
A Random Number Generator (RNG) is a computational or physical device designed to generate sequences of numbers that lack any pattern. Our generator uses cryptographically secure algorithms to ensure true randomness for all applications.
Random numbers are essential in various fields including statistics, cryptography, gaming, simulations, and scientific research where unpredictable values are required. For text-based randomization, try our string generator.
Number Generator Configuration Options
Range Configuration (Min/Max Values)
Number Type Selection
Quantity (1-1000 Numbers)
Unique Numbers (No Duplicates)
Sorting Configuration
How to Generate Random Numbers
[STEP 1] Set Range
Configure minimum and maximum values to define your number range. Ensure min is less than max.
[STEP 1] Choose Type
Select between integers, decimals, primes, or percentages based on your needs.
[STEP 1] Configure Options
Enable unique numbers, sorting, or other options as required for your use case.
[STEP 1] Generate & Export
Click generate and export results in TXT, CSV, or JSON format with included statistics.
Common Use Cases for Random Numbers
- _ Statistical Sampling: Generate random samples for data analysis and research studies
- _ Random Selection: Conduct fair contests, giveaways, and prize drawings with unbiased selection
- _ Gaming & Simulations: Create dice rolls, lottery numbers, and game mechanics with true randomness
- _ Scientific Experiments: Run Monte Carlo simulations and probability experiments
- _ Cryptographic Applications: Generate keys and security tokens with cryptographic quality randomness
- _ Software Testing: Create random test data for development and QA automation
Technical Details: Random Number Generation Algorithm
Our number generator employs cryptographically secure random number generation (CSPRNG) with uniform distribution across specified ranges. The system validates input boundaries, applies precision controls for decimal numbers, and ensures unbiased random selection using rejection sampling when necessary. All numbers are generated with statistical randomness that passes rigorous entropy tests.
// Random integer generation with uniform distribution N = min + ⌊R × (max - min + 1)⌋ where R ∈ [0,1) uniformly // Decimal generation with precision control x = min + R × (max - min), rounded to d decimal places // Prime number generation Algorithm: Sieve of Eratosthenes + Random Selection 1. Generate all primes in range using Sieve 2. Randomly select from prime list with CSPRNG 3. Ensure uniform distribution across prime candidates // Unique number generation (sampling without replacement) Algorithm: Fisher-Yates Shuffle Variant 1. Create pool of all valid numbers in range 2. For each number needed: - Generate random index with CSPRNG - Select and remove number from pool 3. Return unique set Security: CSPRNG meets NIST SP 800-90A standards