A better way to build and test your apps

Effortlessly generate realistic dummy data to streamline your development and testing process.

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Why FakerAPI?

Explore the benefits

Customizable Data Models

Tailor your data needs with customizable data models. Define your data structure, choose from various field types, and control the volume of data with adjustable row settings. FakerAPI adapts to your project's requirements, providing you with the exact data you need, when you need it.

Mock data model widget

Easy-to-Use API Endpoints

Streamline your development workflow with easy-to-use API endpoints. Once your data model is set, FakerAPI generates a dedicated endpoint for your model. Fetch mock data in JSON format with a simple API call, accelerating your frontend development and testing processes.

JSON ouput of mock data

Versatile Schema Generation

Once you've tested different models and found the right fit, you can generate a database schema for the backend of your choice. FakerAPI supports Django, PostgreSQL, Laravel, Firebase, Sequelize and MongoDB, allowing you to seamlessly integrate your model setup into your backend.

List of available schema types

Pricing

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Free
$0 /mo
Unlimited projects
Unlimited models
Export schemas
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Premium
$4.99 /mo
Unlimited projects
Unlimited models
Export schemas
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FAQ

Common questions that you may have.

What is FakerAPI?

FakerAPI is a tool that generates fake but realistic data to populate your application.

What is a mock API?

A mock API is a simulated version of a real API. It provides predefined responses to API requests, allowing developers to test and develop frontends without needing a fully operational backend. This approach is particularly useful during the initial stages of development and for testing purposes, as it facilitates parallel development and ensures the frontend can handle various data scenarios effectively.

What type of data can FakerAPI generate?

FakerAPI is versatile in its data generation capabilities. It can generate basic data types like strings, numbers, booleans, and dates. Additionally, using the Faker field, it can produce a wide array of more complex and realistic data types, such as addresses, company names, email addresses, and much more, offering comprehensive data simulation for your development needs.

Can I use FakerAPI for both small and large-scale projects?

Absolutely! FakerAPI is designed to be scalable and efficient, making it suitable for projects of any size. Whether you're working on a small personal project or a large enterprise application, FakerAPI can handle your data generation needs with the same level of efficiency and reliability.