Use this service to generate random first and last names of the chosen nationality, as well as create a random fake profile for testing your database, web site, forum, dating service, register or any other people-related project.
Unlike other services offering fake identities, we generate realistic random postal addresses, taken from a public database of real addresses in USA, UK, Japan, Korea, China and other countries.
The API returns parameters generated within the scope of the following packages:
General Package
Field | Description |
---|---|
ID | Unique profile identifier |
Gender | Male / Female |
First Name | Randomly chosen first (given) name typical for the selected country |
Last Name | Randomly chosen last name (surname) typical for the selected country |
First Name Transliteration | Latin transliteration of names written in cyrillic, greek or asian character set |
Last Name Transliteration | |
Birthday | The date is chosen from the range of ages you select. The age distribution follows the population pyramid statistics for any given country |
Age | The age in years |
Street address | Flat, house and street name. All street names are real and taken from public resources. Flat and house numbers are generated randomly, starting from number 1000, to prevent generating a real address unintentionally. The address format is typical for the chosen country. |
Zip Code | Zip (postal) code is randomly selected from a database of real postal codes in the chosen country. The code is consistent with the address. |
City | City names are real and consistent with the street address |
Country | This will be the name of the country you chose |
Country ISO3 | Three-letter country code as defined in ISO 3166 |
Email address is generated from the name, the host being “example.com” with a digit or undescore anywhere inside. | |
Username | Random combination of meaningful words and numbers |
Password | Random combination of letters (uppercase and lowercase), digits and underscore. The length of the password is 6 to 8 characters. |
Telephone | Randomly generated number with a consistent country code |
Occupation | Randomly generated occupation. If the profile’s age is less than 18, the occupation will be “Child” |
-------------- | -------------------------------------------------------------------------------------------------------------------------- |
Financial Package
Field | Description |
---|---|
Mother’s maiden name | A randomly generated surname typical for the chosen country. |
Credit card type | One of the following: VISA, MasterCard, Maestro, JCB, UnionPay. The card type is typical for the chosen country, i.e. JCB for Japan or UnionPay for China, where VISA and MasterCard are not as popular as in the West |
Credit card number | Randomly generated card number consistent with the type of card and the bank name |
CVV2 | The card’s security code - a randomly generated 3-digit number |
Credit card expiration date | Randomly generated date in the future 5 years |
Account number | Randomly generated account number which is structured according to the chosen country’s format |
Bank name | Randomly chosen name of one of the biggest banks in the country |
Bank code | The 3 to 4 digit code which corresponds with the bank’s name |
Annual Income | Randomly generated annual income chosen, with minimal and maximal values taken from the tax rate ranges adopted for the country |
Physical Package
Field | Description |
---|---|
Weight in kg | Randomly generated weight in kilogram. The weight is adjusted to correspond with the country’s average weight chart for men and women, and also to match a person’s age |
Height in cm | Randomly generated height in kilogram. The height is adjusted to correspond with the country’s average height chart for men and women, and also to match a person’s age |
Blood type | Randomly generated blood type, one of the following: O+, A+, B+, AB+, O-, A-, B-, AB-. The generated value matches the world’s average probability for each blood type, e.g. AB- is the rarest blood type, so it will be generated quite seldom |
Hair color | Randomly generated hair color (such as “brown”, “blond”, “dark red” etc.) which corresponds with the area’s typical hair colors |
Eye color | Randomly generated eye color (such as “hazel”, “blue”, “light green” etc.) which corresponds with the area’s typical eye colors |
Clothes size | The approximate size is calculated from the person’s height, weight and age. It can take one of the following values: 2, 4, 6, 8, 10, 12, 14, 16 - for children younger than 17 y.o. xs, s, m, l, xl, xxl, 3xl - for men and women older than 16 y.o. |