API Mock Generator - Create Mock Data API Online

Create mock JSON data for API testing

Schema Fields

API Mock Generator - Free professional Mock Data JSON generator

Tan Phat Digital's API Mock Generator tool is the perfect solution for developers who need to quickly create JSON mock data for API testing and frontend development. With an intuitive interface, you can define schemas with rich data types: UUID, person name, email, phone number, address, date, number, price, boolean, URL, image, and text. Supports creating arrays for each field, generating from 1 to 100 records at the same time. Output is standard JSON, ready to use for mock servers, unit tests, or demos. The tool is completely browser-based, requires no backend, and is completely free and unlimited in use. Especially useful for Agile teams working with parallel development, where the frontend and backend are developed simultaneously. The generated data is highly realistic with Vietnamese names, Vietnamese city addresses, and phone numbers in the correct format, helping demo and testing closest to reality.

Outstanding features

17+ data types: ID, Name, Email, Phone, Address, City, Country, Date, DateTime, Number, Price, Boolean, URL, Image, Paragraph, Sentence, Word
Flexible schema customization with arbitrary field names
Supports creating arrays for each field with a custom number of elements
Generate from 1 to 100 records at the same time for large-scale testing
Add/remove fields easily with an intuitive drag-drop interface
Standard JSON output with nice indentation, ready to use
Copy the results with one click, paste directly into the code
Offline processing in the browser, no need for internet after loading
Vietnamese data for names, cities, addresses - realistic for the Vietnamese market
Completely free, unlimited number of generates
No need to register an account, use immediately
Preview schema before generating

Why do developers need Mock Data Generator?

In the modern software development process, frontend and backend are often developed in parallel according to the Agile model. Frontend developers need data to test UI and logic, but the backend API may not be ready or is in the development stage. Mock data solves this problem by providing fake data with the same structure as the real API, allowing the frontend team to not be blocked and continue working. This helps speed up development, can demo the product to stakeholders sooner, write unit tests with consistent and reproducible data, and detect edge cases and UI issues early in the development cycle. Mock data is also extremely useful for creating seed data for databases in the development environment, stress testing with large amounts of records to check performance, quickly prototyping new features without waiting for backend implementation, and training new team members on the system's data structure.

Benefits when used

  • •Don't get blocked when the backend isn't ready - frontend development continues
  • •Product demo with realistic data for stakeholders and clients
  • •Write unit tests with consistent data, reproducible test cases
  • •Seed database for quick development environment
  • •Stress test with large amounts of fake records to check performance
  • •Quickly prototype new features without a real API
  • •Test edge cases with different data types: empty, null, very long
  • •Save time compared to manually creating data for each record
  • •Onboarding new team members with easy-to-understand sample data
  • •Create documentation and examples with realistic data

Detailed instructions on how to create Mock Data

  1. 1View default fields: id, name, email - can keep or delete
  2. 2Click
  3. 3to add new fields to the schema as needed
  4. 4Enter the field name (for example: phone, address, createdAt, status)
  5. 5Select the appropriate data type from the dropdown of 17+ options
  6. 6Turn on the
  7. 7switch If you want the field to be an array (eg tags, images)
  8. 8Enter the number of records to create (1-100) depending on use case
  9. 9Click
  10. 10to create mock data with the defined schema
  11. 11Copy the JSON output and use in your project
  12. 12Save to .json file or paste directly into code

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