About Random Number Generator
A random number generator (RNG) is a tool that produces unpredictable numbers within a specified range. Our generator uses JavaScript's Math.random() function to create pseudo-random numbers suitable for most applications.
Common Use Cases
- Gaming: Dice rolls, card shuffling, random events
- Lottery & Raffles: Pick winning numbers or participants
- Statistics: Generate sample data for analysis
- Education: Create math problems and exercises
- Decision Making: Random selection from options
- Testing: Generate test data for applications
- Cryptography: Create random seeds (use crypto-secure RNG for production)
Features
- Custom range: Set any minimum and maximum values
- Bulk generation: Generate up to 10,000 numbers at once
- Unique numbers: Option to prevent duplicates
- Statistics: View sum, average, min, and max of generated numbers
- Easy copy: Copy all numbers with one click
How It Works
Our random number generator uses the following algorithm:
- Define the range (minimum and maximum values)
- Use Math.random() to generate a decimal between 0 and 1
- Scale the result to fit within your specified range
- Round to the nearest integer
- If duplicates are not allowed, track used numbers and exclude them
Tips for Best Results
- For lottery numbers, disable duplicates to ensure unique picks
- Use smaller ranges for dice rolls (1-6) or coin flips (0-1)
- Generate multiple numbers at once for statistical analysis
- For cryptographic purposes, use a crypto-secure random generator
- Save your results by copying them before generating new numbers
Popular Number Ranges
| Use Case | Range | Example |
|---|---|---|
| Coin Flip | 0-1 | 0 = Heads, 1 = Tails |
| Dice Roll (6-sided) | 1-6 | Standard die |
| Percentage | 0-100 | Random percentage |
| Lottery (Powerball) | 1-69 | Main numbers |
| Playing Card | 1-52 | Standard deck |
Is It Truly Random?
Our generator uses pseudo-random number generation (PRNG), which means the numbers are generated using a mathematical algorithm. While not truly random in the cryptographic sense, they are sufficiently random for most practical purposes including games, statistics, and general use. For cryptographic applications requiring true randomness, use Web Crypto API's crypto.getRandomValues().