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Random Number Generator (RNG)

Generate a random number or a list of numbers. You can use it as a Random number picker, generate random text numbers, random integers and random decimal numbers

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Random Number Generator



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Random Number Selection - How to use min and max for different combinations

  • You can use this use as random pick generator, random text number, random selector, random number generator, random ids by just adjusting the min and max value appropriately.
  • Text Number Generator - to generate a text number or string number of length 3, set min as 100 and max as 999
  • Pick a Number Generator - To pick a number between 1 and 30, set min as 1 and max as 30
  • Number List Generator - To use as random number list generator, set the 'How many' to the required number. For eg to get 4 random numbers, set the count to 4
  • Random Integer Generator - You can set Integer ranges from -2147483647 to 2147483647
ScenarioMin (inclusive)Max (inclusive) Your Random Number is

Random Text Number with length 5

10000 99999 66503

Random Text Number with length 8 to 10

10000000 9999999999 7096578805

Pick a number between 1 and 2, Random number between 1 and 2, Random number 1 to 2, Pick a number between one and two

1 2 1

Pick a number between 1 and 3, Random number between 1 and 3, Generate random number 1 to 3, Random number generator 1 to 3, Numbers picker between 1 and 3

1 3 3

Random number between 1 and 4, Pick a number between 1 and 4

1 4 1

Pick a number between 1 and 5, Pick a number 1 through 5, Random number between 1 and 5, Generate Random number 1 to 5

1 5 2

Pick a number between 1 and 6, Random number between 1 and 6, Random number 1 to 6, Pick a number 1 through 6, Random number generator 1 to 6

1 6 2

Pick a number between 1 and 8, Random number between 1 and 8, Random number 1 to 8

1 8 8

Pick a number between 1 and 9, Random number between 1 and 9, Random number 1 to 9

1 9 4

Pick random number 1 to 10, Pick a number 1 through 10,Pick a number between 1 and 10, Random number between 1 and 10, Random number generator 1 to 10, 1 to 10 number generator

1 10 9

Random number 1 to 12, Pick a number between 1 and 12, Random number between 1 and 12

1 12 2

Random number 1 to 20, Pick a number between 1 and 20, Random number between 1 and 20

1 20 11

Generate random number 1 to 25

1 25 10

Pick a number between 1 and 30, random number between 1 and 30

1 30 20

Pick a number between 1 and 50, Number generator 1 to 50, random number between 1 and 50

1 50 38

Pick a number from 1 to 100, Random number from 1 to 100, 1 to 100 number generator, Pick a number between 1 and 100, Random number generator 1 to 100, Pick a number 1 through 100

1 100 26

Pick a number between 500 and 1000

500 1000 984

1 to 1000 number generator

1 1000 287

1 digit generator

0 9 3

2 digit generator

10 99 45

3 digit generator, Random 3 digit number

100 999 826

Random 4 digit number generator, 4 digit generator, Random 4 number generator

1000 9999 9831

3 digit generator, Random 3 digit number

100 999 682

Random 5 digit number generator

10000 99999 23207

Random 6 digit number generator

100000 999999 805796

Generate Random Numbers with Ease Using a PRNG Generator

PRNG Icon
Random number generators (RNGs) are used to generate sequences of numbers that are unpredictable and unbiased. They are used in a wide variety of applications, including:
  • Cryptography: RNGs are used to generate random keys and other cryptographic parameters.
  • Gaming: RNGs are used to generate random dice rolls, card draws, and other game events.
  • Simulation: RNGs are used to generate random input for computer simulations.
  • Statistics: RNGs are used to generate random samples for statistical analysis.
  • Security: RNGs are used to generate random passwords and other security credentials.
Important features of a random number generator include:
  • Unpredictability: The sequence of numbers generated by the RNG should be unpredictable, even to someone who knows the algorithm used to generate them.
  • Unbiasedness: The RNG should generate all possible numbers with equal probability.
  • Speed: The RNG should be able to generate numbers quickly enough to meet the needs of the application.
  • Efficiency: The RNG should use resources efficiently, such as memory and CPU time.
Some other desirable features of RNGs include:
  • Reproducibility: The RNG should be able to generate the same sequence of numbers if given the same initial seed value.
  • Portability: The RNG should be able to be implemented on a variety of platforms.
  • Ease of use: The RNG should be easy to use and integrate into applications.
There are two main types of random number generators: pseudo-random number generators (PRNGs) and true random number generators (TRNGs). PRNGs use a deterministic algorithm to generate a sequence of numbers that appears to be random. TRNGs use a physical process, such as atmospheric noise or radioactive decay, to generate random numbers.
  • PRNGs are more common than TRNGs because they are easier to implement and more efficient. However, TRNGs are more secure because they are more difficult to predict.
  • PRNGs work by using a seed value to initialize the algorithm. The seed value is a number that is used to start the algorithm and determine the sequence of numbers that it generates. Once the algorithm is initialized, it generates a sequence of numbers using a mathematical formula.
  • The specific features that are important for a random number generator to be useful will vary depending on the application. For example, a random number generator used in cryptography must be very unpredictable and secure, while a random number generator used in gaming does not need to be as secure.
  • Overall, random number generators are a versatile tool that can be used in a wide variety of applications. The important features of a random number generator will vary depending on the application, but unpredictability, unbiasedness, speed, and efficiency are all important factors to consider.

Frequently Asked Questions on RNG Generator

FAQ icon

  • RNG stands for Random Number Generator. PRNG stands for Pseudo Random Number Generator

  • Pseudo random number generator.

  • True Random number generator.

  • True Random number - This is also called Non deterministic random number. It is based on hardware and other combinations of noise. Pseudo Random number - This is also called Deterministic random number. This produces predictable output and more of software program based.

  • This tool can pick a number from a range. Configure the min number and max number to the range with count as 1. To pick a number between 1 and 5, configure min as 1 and max as 5 and click generate.

  • Mersenne Twister (MT), Linear congruential generators (LCG) , Multiplicative Congruential Method (Lehmer Method), Lagged Fibonacci to name a few of them.

  • It Deterministic Random Bit Generator. It is same as Pseudo random number generator.