Quick Presets
Schema Builder
Available Field Types
firstName(person)
lastName(person)
fullName(person)
email(internet)
phone(phone)
uuid(string)
username(internet)
password(internet)
avatar(internet)
streetAddress(location)
city(location)
state(location)
zipCode(location)
country(location)
latitude(location)
longitude(location)
companyName(company)
jobTitle(person)
department(commerce)
productName(commerce)
price(commerce)
color(color)
hexColor(color)
url(internet)
ip(internet)
mac(internet)
paragraph(lorem)
sentence(lorem)
word(lorem)
integer(number)
float(number)
boolean(datatype)
date(date)
pastDate(date)
futureDate(date)
timestamp(date)
creditCard(finance)
iban(finance)
currency(finance)
imageUrl(image)
How to Generate Fake JSON Data Online
- 1
Choose a Preset or Build a Schema
Start with one of the built-in presets such as Users, Products, or Companies for instant results. Alternatively, open the Schema Builder to define your own fields with custom names and types tailored to your project. - 2
Configure Your Fields
Add fields like name, email, address, phone, date, UUID, or any of the 40+ supported types. Give each field a descriptive name that matches the property names your application expects, so the output is ready to use without renaming. - 3
Set the Record Count and Generate
Enter the number of records you need, from a single object to 1000 rows, then click Generate. The tool produces a valid JSON array with realistic, randomized values in each field instantly. - 4
Copy or Download the Output
Copy the generated JSON to your clipboard with one click or download it as a.json file. Paste it directly into your API mock server, test suite, database seeder, or frontend component.
Common Use Cases
1
Frontend Prototyping
Populate UI components with realistic user profiles, product listings, or transaction records so designers and stakeholders can review the interface with data that looks and feels authentic.
2
API Mocking and Contract Testing
Generate JSON responses that match your API schema to build and test frontend features before the backend is ready. Pair with a mock server to simulate endpoints during parallel development.
3
Database Seeding and Migrations
Create seed data for development and staging databases. Generate hundreds of records with consistent structure to test queries, pagination, search, and sorting under realistic conditions.
4
Unit and Integration Testing
Feed generated data into automated test suites to validate input handling, boundary conditions, and data transformations without relying on production data or manual fixture files.
Why Use JSON Faker?
JSON Faker generates fake JSON from field types. Build a schema of named fields, pick a type for each field, set the record count, and generate. Use it for UI prototypes, API mocks, unit tests, and demo data.
JSON Faker generates fake JSON from field types in the browser. Pick from more than 40 types: names, emails, phone numbers, street addresses, dates, UUIDs, URLs, company names, and more. Each record is a flat object of the fields you named. The values look real enough for demos, screenshots, prototypes, and tests.
Define a schema, set the record count, click Generate, and copy a JSON array. There is no separate mock-JSON product for the same job. Validate the output with the JSON Schema Validator.
Generation runs in your browser. Format the result with the JSON Formatter, edit it in the Visual JSON Editor, or convert it with JSON to TypeScript.
How It Compares
JSON Faker is the product for generating fake JSON from field types. You pick types such as name, email, and UUID and generate records in the browser. There is no second FindUtils generator for the same job.
Libraries such as Faker.js need a local install. This page needs no install and no account. Download the JSON and commit it when you need a stable fixture.
Tips for Better Fake Data
1
Match your field names to the exact property names your application expects so you can paste the generated JSON directly into your codebase without renaming anything. 2
Use the UUID field type for primary keys and foreign keys to simulate realistic relational data structures in your test datasets. 3
Generate a small batch first to verify the schema, then scale up to hundreds or thousands of records once the structure looks correct. 4
Match field types to the JSON your app expects so the generated records drop into mocks and tests without renaming keys. 5
Download the output as a.json file and commit it to your repository as a test fixture so your entire team works with the same sample data. Frequently Asked Questions
1
How many records can I generate?
You can generate up to 1000 records at once. For larger datasets, consider generating in batches or using a dedicated data generation service.
2
Is the data truly random?
Yes, each generation creates unique data. Names, emails, addresses, and other fields are randomly combined to create realistic but fictional records.
3
Can I use this data in production?
This data is intended for testing and development only. The generated emails, phone numbers, and addresses are fictional and should not be used for real communications.
4
What field types are supported?
Over 40 types are available including first name, last name, full name, email, phone, address, city, country, zip code, company, job title, URL, UUID, date, boolean, integer, float, paragraph, sentence, color, IP address, latitude, longitude, and more.
5
Is my schema sent to a server?
No. All data generation happens locally in your browser using client-side JavaScript. Your field definitions and generated output never leave your device.
6
What does generate from field types mean?
You name each field and pick a type such as email, UUID, or city. JSON Faker fills every field with a matching fake value and returns a JSON array of records.
7
Can I generate nested objects?
JSON Faker generates flat records. Each record is an object of the field names you set. Build nested JSON after generation in the Visual JSON Editor if you need extra structure.
8
Is there a way to reproduce the same dataset?
Each generation is random and there is no seed parameter. If you need reproducible data, generate it once, download the JSON file, and commit it to your repository as a fixture.
9
Can I export the output as CSV instead of JSON?
The tool outputs JSON format. To convert the result to CSV, copy the JSON and paste it into the JSON to CSV converter which handles flat JSON arrays with a single click.
10
Does JSON Faker require a signup?
No. JSON Faker is available with no sign-up, no daily limits. You can generate as many datasets as you need, as often as you need them.