Random Fake Data Generator

  1. Home
  2. Dev Tools
  3. Random Mock Data Generator

Mock Data Generator

Please Choose a Locale

About Fake Data Generator

Mock data generator is a great tool for developers who want to create realistic data sets for testing purposes. It can be used to generate data for a wide variety of applications, including web applications, mobile apps, and even desktop applications. Mock data generator makes it easy to create large data sets with just a few clicks, and it can even be used to generate data for a specific application or use case.

There are many benefits to using a test data generator. For example, it can help you generate hundreds of realistic fake data points that you may not be able to get otherwise. This is great for testing purposes in your application. A test data generator can help you create dummy data for things like user profiles, credit card data, weather data, addresses, and more.

Why use a Mock Data Generator?

When it comes to data, more is often better. That's why many businesses use dummy data generators to get the information they need. Fake data generators have a number of benefits, including:

  1. They're fast: Test data generators can quickly create large amounts of data. This is especially useful when businesses need to test their systems with large data sets.
  2. They're flexible: Random data generators can create data that conforms to specific criteria. This means businesses can use them to create data that matches their specific needs.
  3. They're affordable: Fake data generators are often much cheaper than real data sets. This makes them a great option for businesses on a budget. Our data generator is free so it will not cost a burden on your pocket :)
  4. They're easy to use: Fake data generators are typically very easy to use. This means businesses can get the data they need without having to invest in expensive data-management software.
  5. They're reliable: Fake data generators are usually very reliable. This means businesses can rely on them to get the data they need, when they need it.

What different data types are supported in this fake data generation tool?

Our online Mock data generator supports 16+ data types in 34 different languages. The Data generators are:

  • Address Data Generator: Street Number, Street Name, Street Suffix, Address, State, Region, Province, Federal Subject, Prefecture, Postal Code, Zip code, Country Code,Country,City,Latitude,Longitude,Coordinates,Continent,Calling Code
  • Code Data Generator: Locale Code, ISSN, ISBN, EAN, IMEI, PIN
  • Cryptographic Data Generator: UUID, Hash, Mnemonic Phrase
  • Date Data Generator: Week Date, Day of Week, Month, Year, Century, Periodicity, Formatted Date, Day of Month, Timezone, GMT Offset, Formatted Datetime, Timestamp
  • Development Data Generator: Software License, Software Version, Programming Language, Operating System, Boolean
  • Finance Data Generator: Extension, MIME Type, Size, File Name
  • Finance Data Generator: Company Name, Company Type, Currency ISO Code, Cryptocurrency ISO Code, Currency Symbol, Cryptocurrency Symbol, Price, Price in BTC, Stock Ticker, Stock Name, Stock Exchange
  • Food Data Generator: Vegetable, Fruit, Dish, Spices, Drink
  • Hardware Data Generator: Resolution, Screen Size, CPU Frequency, Generation, CPU Model Code, CPU, CPU Codename, RAM Type, RAM Size, SSD or HDD, Manufacturer, Phone Model, Graphics
  • Internet Data Generator: URL, Slug, Content Type, HTTP Status Code, HTTP Status Message, HTTP Method, IPv4, IPv4 with Port, IPv6, MAC Address, Emoji, Hashtags, Hostname, URI, Query String, Top Level Domain, TLD, User Agent, Port
  • Numeric Data Generator: Incremental Number ( e.g. ID ), Float Number, Integer Numbers, Matrix
  • Path Data Generator: Root, Home, User, Users Folder, Dev Directory, Project Directory
  • Payment Data Generator: CID, PayPal - random account, Bitcoin Address, Ethereum Address, Credit Card Network, Credit Card Number, Credit Card Expiration Date, CVV, Credit Card Owner
  • Person Data Generator: Age, Work Experience, Name, First Name, Last Name, Title, Full Name, Username, Password, Email, Gender, Sex, Weight, Blood Type
  • Science Data Generator: RNA Sequence, DNA Sequence, Measure Unit, Metric Prefix
  • Text Data Generator: Level, text, Sentence, Title, Words, Swear Words, Quote, Color, Hex Color, RGB Color, Answer
  • Transport Data Generator: Truck, Manufacturer, Car, Airplane, Vehicle Registration Code

How to create fake Data for testing?

Generating fake data with our tool is pretty easy. Follow the steps below and your random data will be generated instantly.

  1. First choose your desired language from the Fake data generator. This will help you generate data in the respective language.
  2. Next, enter the Field name in the Field Name input option.
  3. Select the Data type you want the field name to represent from the dropdown option.
  4. If you want more fields, click on the Add Field button and follow the above steps again.
  5. Now, enter the number of data rows you want in the No. of Rows input field.
  6. Next, click on the Generate Data button to generate random data based on the field and data types you choose in the tool.
  7. Finally, Copy the data generated by the tool and use it in your database :)

Is this fake data generator safe & secure?

Yes the random data generator is safe and secure & none of the user data is visible to any 3rd party.

Why is test data important?

Test data is important because it allows developers to test the functionality of their code. Without test data, developers would have no way of knowing if their code is working correctly. Test data also allows developers to find and fix bugs in their code. Without test data, developers would have no way of knowing if their code has any bugs.

Why is realistic data important?

Realistic data is important for a number of reasons. First, it allows us to test our models and algorithms against data that is representative of the real world. This is important for ensuring that our models are accurate and will perform well on actual data. Second, realistic data can help us identify potential problems and areas for improvement in our models. Finally, realistic data can help us better understand the real-world phenomena that our models are trying to capture.

What is the use of test data generated?

Test data is used to test the functionality of software applications. It is used to check if the application is working as expected. Test data can be generated manually or using automated tools. Automated tools are used to generate large volumes of test data.

How many laguages does Fake data generator support?

Our random data generator can support and generate data in 34 different languages.

How many data types does Fake data generator support?

Our random data generator can support and generate data in 16+ different data types & more sub data types.