JSON Test Data Generator Tool

JSON Test Data Generator Tool

This tool allows you to generate random JSON files from a template. The utility allows you to generate JSON data, and export the generated JSON files. Mock Data can start developing an app and testing and problem solving when data service is unavailable or requires significant work to set up.

How to use JSON Generator Online

1. Fill in the editor "Your JSON template " and click on the " Generate " button.
2. The "JSON generated" editor will contain the result.
3. You have a "Field Tags" section which shows you the available tags that you can use
4. You can dowload your JSON files below the editor.

Using Tags

You can also use tag in a property name. The tag must be in a string, enclosed in double curly brackets. Example:

{{uuid}},{{date}},{{firstname}},{{surname}},{{email}}

How to Use the JSON Test Data Generator

Using the JSON Test Data Generator is straightforward. Begin by defining your data structure in the template editor, utilizing the available field tags to specify data types. Once your template is ready, input the desired number of datasets and click 'Generate.' The tool will produce random JSON data based on your template, which you can then export to your testing environment.

Benefits of Using a JSON Test Data Generator

Employing a JSON Test Data Generator offers numerous advantages. It accelerates the testing phase by providing immediate access to large volumes of realistic data, eliminating the need for manual data creation. This automation reduces human error, ensures consistency across test cases, and allows you to focus on identifying and resolving issues within your application.

Tag Reference

Use these tag to customize your test data in your template.

{{addressuk}} : Single-line UK address.
{{addressuk}} ---> 9315 Lancaster Circle, Haslingden, Nottinghamshire, HS15 6YD

{{addressus}} : Single-line US address.
{{addressus}} ---> 8184 Ambrose, Fontana, Minnesota, 44626

{{addressgerman}} : Single-line German address.
{{addressgerman}} ---> Bahnhofsstrasse 12, 80335 München

{{airport}} : Three-digit airport code.
{{airport}} ---> MTK

{{autoinc}} : Auto-incrementing number. starting number (default 1)
{{autoinc 1000}} ---> 1000
{{autoinc}} ---> 1001

{{boolean}} : Boolean value. probability of being true (default 0.5)
{{boolean}} ---> false
{{boolean 0.95}} ---> true

{{cat}}: Cat name.
{{cat}} ---> Smokey

{{city}} : US city name.

{{cityGerman}} : German city name.
{{cityGerman}} ---> Berlin

{{company}} : Company name.|
{{company}} ---> Venusian Software Corp

{{country}} : Country name.
{{country}} ---> Lebanon

{{county}} : UK county name.
{{county}} ---> Derbyshire

{{creditcard}} : Credit card number.
{{creditcard}} ---> 6011867289904845

{{currency}} : Currency code.
{{currency}} ---> USD

{{date}} : Random date in YYYY-MM-DD format.
Parameters:
min - minimum date (default '1970-01-01')
max - maximum date (default 'now')
{{date}} ---> 1977-02-28
{{date 2015-01-01}} ---> 2018-08-02 // date after 2015-01-01
{{date 2015-01-01 2016-01-01}} ---> 2015-04-23 // date in 2015

{{date_iso}} : Random date in ISO-8601 format.
Parameters:
min - minimum date (default '1970-01-01')
max - maximum date (default 'now')
{{date_iso}} ---> 2013-05-24T02:44:04.687Z
{{date_iso 2015-01-01}} ---> 2018-07-09T22:15:30.512Z // date after 2015-01-01
{{date_iso 2015-01-01 2016-01-01}} ---> 2015-04-21T18:08:33.979Z // date in 2015

{{digits}} : String of numerals.
Parameters:
numDigits (default 5)
{{digits}} ---> 06984
{{digits 8}} ---> 61103920

{{dog}}: Dog name.
{{dog}} ---> Lucky

{{domainname}}: Domain name.
{{domainname}} ---> yallaer.com

{{email}} : Email address. Whether to use the previous firstname/surname for the email generation
{{email}} ---> jermaine.buchanan@drilling.com
# based on previous name
{{name}} ---> Sheba Arthur
{{email true}} ---> sheba21436@yes.etnedal.no

{{emojii}} : Emojii.
numChars - number of characters (default 1)
{{emojii}} ---> 
{{emojii 3}} ---> 

{{ethnicity}} : Ethnicity
Ethnicity string.
{{ethnicity}} ---> Tuscan

{{file}} : Get a random line from a simple text-file, e.g.
line1
another line
yeah
Parameters:
filename - full path to the file (no default)
{{file /path/to/file.txt}} ---> line1

{{firstname}} : Human first name.
{{firstname}} ---> Bethan

{{float}} : Floating point number.
Parameters:
min (default 1)
max (default 100)
decimalPlaces (default 4)
{{float}} ---> 13.8592
{{float 1000 2000 2}} ---> 1750.06

{{integer}} : Integer number.
Parameters:
min (default 1)
max (default 100)
{{integer}} ---> 99
{{integer 1000 2000}} ---> 1523

{{ip}} : IP4 address.
Parameters:
local - boolean (whether to generate an IP in the 192.168.1 range or not)
{{ip}} ---> 63.235.50.110
{{ip true}} ---> 192.168.1.58

{{ip6}} : IP6 address.
Parameters:
local - boolean (whether to generate an IP in the fc00::: range or not)
{{ip6}} ---> 487d:375d:7bfe:b23b:d1e2:8934:cfb2:c17e
{{ip true}} ---> fc00:cefe:5dfc:14da:691d:b4bf:63ac:6d17

{{kuuid}} : Time-sortable, unique identifier. see here
Parameters:
min (optional) - minimum date
max (optional) - maximum date
{{kuuid}} ---> 001g8LWk0Svk222Bd0Et0GeaBl1P1gkP
{{kuuid 2010-01-01 2019-01-01}} ---> 001eWhUE2HLix22HqmL5436NDm1p02X6

{{kuuidr}} : Time-sortable, unique identifier, but in reverse order. see here
Parameters:
min (optional) - minimum date
max (optional) - maximum date
{{kuuidr}} ---> zzzwSGtT2o36oK17mC4R26dkHI1f1Xm0
{{kuuid 2010-01-01 2019-01-01}} ---> zzyTAKwG1uzH1N4Cl4xi1vZIE22oxrrT

{{last}} : The last generate value of the supplied tag. This is used to re-use generated data elsewhere in your template.
Parameters:
tag - the name of the tag
{{last uuid}} ---> HSFC5LQPCP84IVY7 (the last uuid that was generated by datamaker)

{{latitude}} : Decimal latitude.
{{latitude}} ---> -54.4371

{{letters}} : String of uppercase characters.
Parameters:
numLetters (default 5)
{{letters}} ---> TVEHJ
{{letters 10}} ---> WOBOJRJFCU

{{longitude}} : Decimal longitude.
{{longitude}} ---> 175.2526

{{mac}} : Mac address
{{mac}} ---> 23-0d-a3-3e-cf-d8

{{marque}} : Car manufacturer.
{{marque}} ---> Bugatti

{{monarch}} : King or Queen.
{{monarch}} ---> Henry VIII

{{occupation}} : Occupation (job)
Occupation string.
Parameters: none
{{occupation}} ---> Midwife

{{oneof}} : Picks one of supplied values.
Parameters: any number of strings
{{oneof Gryffindor Hufflepuff Ravenclaw Slytherin}} ---> Slytherin

{{name}} : Combination for firstname and surname. Equivalent of {{firstname}} {{surname}}.
{{name}} ---> Anna Flint

{{normal}} : Generates numbers on a normal distribution
Parameters:
mean - centre of distribution (default 50)
stddev - standard deviation (default 1)
decimalPlaces - number of decimal places (default 4)
{{normal}} ---> 50.1097
{{normal 20000 1000 2}} ---> 20370.88

{{password}} : A commonly-used password.
{{password}} ---> abcd1234
{{password | md5}} ---> 1f3870be274f6c49b3e31a0c6728957f

{{president}} : A US president
{{president}} ---> Richard Nixon

{{postcode}} : UK postcode.
{{postcode}} ---> KT4 0XS

{{price}} : Floating point price.
Parameters:
min (default 1)
max (default 100)
{{price}} ---> 65.29
{{price 500 700}} ---> 521.98

{{prime}}: Prime number. If you supply impossible parameters, you will get 1 in reply.
Parameters:
min (default 1)
max (default 100)
{{prime}} ---> 17
{{prime 1000 3000}} ---> 1657

{{product}} : Product name.
{{product}} ---> CARABAO
{{product | toTitleCase}} ---> Salt

{{religion}} : Religion
Parameters: none
{{religion}} ---> Mandaean Nasaraean Sabeans

{{sic}} : Industry standard SIC code - business category
{{sic}} ---> Growing of tobacco

{{state}} : US state name.
{{state}} ---> Ohio

{{statecode}} : 2-letter US state code
{{statecode}} ---> NC

{{street}} : Street address.
{{street}} ---> 6502 Chantler Avenue

{{streetGerman}} : German Street name.
{{streetGerman}} ---> Schulstrasse

{{surname}} : Human surname.
{{surname}} ---> Doyle-Tyson

{{tel}} : International telephone number.
{{tel}} ---> +43-3040-100-474

{{time}}:Time in HH:MM:SS format.
{{time}} ---> 10:45:59

{{timestamp}} : Timestamp in milliseconds since 1970.
Parameters:
min - minimum timestamp (default 0)
max - maximum timestamp (default 'now')
{{timestamp}} ---> 351543517819
{{timestamp 946684800000}} --> 1163308913102  // timestamp after 2000-01-01
{{timestamp 946684800000 978307200000}} --> 959753617250  // timestamp in year 2000

{{title}} : Honorific or title e.g. Mr, Mrs etc.
{{title}} ---> Reverend

{{tld}} : Top level domain, or common domain name ending.
{{tld}} ---> gov.pr

{{town}} : UK town name.
{{town}} ---> Dudley

{{unit}} : An SI Unit
{{unit}} ---> °C

{{url}} : Full URL.
{{url}} ---> https://www.jovinianist.com/microcosmology.html?adrenalone=VEF0TSB23N04V8MO

{{uuid}} : Unique identifier.
{{uuid}} ---> C3QTU8YIVKZY126Q

{{uuidv4}} : Unique identifier v4.
{{uuidv4}} ---> d1e606b0-0452-46a7-9190-8671a82fdea0

{{website}} : Full website URL.
{{website}} ---> https://unlyrically.com

{{word}} : Single word.
{{word}} ---> synentognathous

{{words}} : Multiple words.
Parameters:
count (default 5)
{{words}} ---> piacularly burp archisymbolical glumaceous Calinago
{{words 2}} --->Xenomorpha mauler

{{youtube}} : Random YouTube URL.
{{youtube}} ---> https://www.youtube.com/watch?v=dQw4w9WgXcQ

{{zip}} : US ZIP code.
{{zip}} ---> 69882

Integrating Generated Data into Your Testing Workflow

Integrating the generated JSON data into your testing workflow is seamless. After exporting the data, you can import it into your application's database or use it to mock API responses. This flexibility enables you to test various system components in isolation or as a whole, ensuring comprehensive coverage and reliability.

What is JSON

JavaScript Object Notation is a schema-less, text-based representation of structured data based on key-value pairs and ordered lists. Although JSON is derived from JavaScript, it is supported natively or through libraries in most major programming languages. JSON is commonly, but not exclusively, used to exchange information between web clients and web servers

Test JSON Object Generator Overview

Data Generator for JSON is a tool for software developers and quality assurance engineers who need to generate test JSON documents in bulk for software or service testing. The document's structure can be explicitly created or imported from an existing JSON file. For smart data creation, the application uses a data generation engine that enables complicated data generation and value-to-value dependencies. The user can make test data more realistic by using the built-in Value Library, which contains predefined lists (names, dates, cities, streets, currencies, email, statecodes, firms, and so on).

JSON Data Generator

The Data Generator data source is a built-in engine that generate many types of property values. This method eliminates the need to manually create data storages and populate them with data. Manually populating a database is a time-consuming and stressful task.
A test data creation tool enables business owners to try out and test their technologies before releasing them to the general market. It's recommended to avoid manual operations and instead use one of the above-mentioned test data creation solutions, which have a higher success rate.

Generate JSON from a Template

Speed up the development of your website or app using fake or mock data. Generate dummy JSON data from the template - random names, emails, addresses, phone numbers, and many more data types. Create formatted sample/test data for testing software or populating databases. The utility combines JSON Schema standard with fake data generators, allowing users to generate simulated data that conform to the structure.

The JSON Generator uses a JSON template to generate data. Basic and custom settings are available in the JSON Generator's box. You can personalise the generator by altering the parameters as needed.
JSON Generator also includes Template and Preview dialogue boxes. By modifying the default script, you can customise the default template.

How Do You Create Various Name Test Data?

Each set is randomly generated to simulate real data.

Test data is actually the input given to a software program. It represents data that affects or is affected by the execution of the specific module. Some data may be used for positive testing, typically to verify that a given set of input to a given function produces an expected result. Other data may be used for negative testing to test the ability of the program to handle unusual, extreme, exceptional, or unexpected input. Poorly designed testing data may not test all possible test scenarios which will hamper the quality of the software.

Testing is an iterative part of the development process that it performed to ensure the quality of the code. During the development process you will need fake data similar to real data for testing purposes.

Importance of Test Data in Software Development

In software development, the quality of your test data directly influences the effectiveness of your testing processes. Utilizing realistic and varied test data allows you to simulate real-world scenarios, uncover hidden bugs, and ensure your application performs reliably under diverse conditions. A JSON Test Data Generator enables you to create such data efficiently, saving time and resources while enhancing the robustness of your software.

Features of the JSON Test Data Generator

Our JSON Test Data Generator offers a range of features designed to streamline your testing process. With customizable templates, you can define complex data structures tailored to your application's needs. The tool supports various data types, including strings, numbers, dates, and nested objects, allowing for comprehensive test scenarios. Additionally, it provides options for generating large datasets, facilitating performance and load testing.

Comparison with Other Test Data Formats

While JSON is a widely used format for test data, it's essential to understand how it compares to other formats like XML or CSV. JSON's lightweight and human-readable structure makes it ideal for web applications, facilitating easy data interchange between client and server. In contrast, XML is more verbose, and CSV lacks support for nested data structures. Choosing JSON for your test data ensures compatibility and ease of use in modern development environments.

Best Practices for Generating Test Data

When generating test data, it's crucial to accurately reflect real-world scenarios. Incorporate a variety of data types and values, including edge cases, to thoroughly test your application's behavior. Regularly update your test data templates to align with changes in your application's data structures, maintaining the relevance and effectiveness of your tests.

Security Considerations When Using Test Data

Security is paramount when handling test data. Ensure that any generated data does not contain sensitive information from real users. Utilizing a JSON Test Data Generator helps mitigate this risk by creating synthetic data that mimics real-world data without exposing personal information. This practice safeguards user privacy and complies with data protection regulations.

What is Test Data? Why is it Important?

Dummy Test data is actually the input given to a software program. It represents data that affects or is affected by the execution of the specific softwar feature. Some data may be used for positive testing, typically to verify that a given set of input to a given function produces an expected result. Other data may be used for negative testing to test the ability of the program to handle unusual, extreme, exceptional, or unexpected input.

Software Testing Methodologies

1. Black Box Testing - A software testing method in which the internal structure/design/implementation of the item being tested is not known to the tester. These tests can be functional or non-functional, though usually functional. Test design techniques include: Equivalence partitioning, Boundary Value Analysis, Cause Effect Graphing.
2. White Box Testing - A software testing method in which the internal structure/design/implementation of the item being tested is known to the tester. Test design techniques include: Control flow testing, Data flow testing, Branch testing, Path testing.
3. Gray Box Testing - A software testing method which is a combination of Black Box Testing method and White Box Testing method.
4. Agile Testing - A method of software testing that follows the principles of agile software development.
5. Ad Hoc Testing - A method of software testing without any planning and documentation.

What to Look for in Mobile Testing Tools?

How do you choose the best tool for creating test scripts? Begin by focusing on the following characteristics, which are critical for successful mobile app testing.

• Multiple scripting languages are supported. It's critical to have a variety of test creation choices.
  This involves having a selection of scripting languages to pick from. Naturally, your QA staff should be able to work with those with whom they are already acquainted. As a result, look for a tool that supports a variety of programming languages.                
• You are developing tests for a variety of mobile operating systems. Look for a program that allows you to conduct your tests on many mobile platforms. It would be ideal for including a code reuse option, so you wouldn't have to write separate test scripts for each platform.
• Test creation choices that don't require any scripting. It is critical to creating tests without coding. This feature of mobile testing tools is beneficial to folks who do not have programming expertise. You may also develop tests very quickly this way.
• CI/CD tools are seamlessly integrated. Make sure your mobile testing tool is simple to integrate with the technologies you already use for your CI/CD procedures.