Mock Data Generator

Generate realistic mock data for testing, prototyping, and development. Create custom schemas with multiple data types and export in various formats.

Field Schema

CSV Options

Generated Data

Generated data will appear here

Configure your schema and click "Generate Data" to start

About Mock Data Generator

Privacy-First: All data generation happens in your browser. No data is sent to any server.

Versatile Output: Export data in JSON, CSV, SQL, XML, or Array format for use in any application.

Realistic Data: Generate realistic mock data for testing, prototyping, and development.

Custom Fields: Create custom schemas with unlimited fields and data types.

About Mock Data Generator

The Mock Data Generator is a powerful, free online tool that creates realistic test data with 106+ data types across 20 industry-specific categories. Generate comprehensive mock datasets including personal data (names, emails, addresses, phone numbers), financial data (credit cards, IBAN, SWIFT codes, bank accounts), healthcare data (diagnoses, medications, blood types, insurance), e-commerce data (products, SKUs, orders, payments), automotive data (VINs, license plates, car models), education data (courses, degrees, GPAs, universities), social media metrics (followers, likes, engagement), real estate listings (properties, features, square footage), gaming data (titles, achievements, scores), and much more. Export your generated data in 11 different formats including JSON, CSV, SQL (with 7 dialect options), XML, DBUnit XML, Firebase, InfluxDB, Cassandra CQL, Excel, and custom delimited formats. Perfect for database seeding, API testing, application prototyping, and development without using real user information.

Why use a Mock Data Generator?

Mock data generation is critical for modern software development, testing, and prototyping. This tool provides industry-specific realistic test data that helps developers test edge cases, validate business logic, and demonstrate features safely. With 106 customizable data types spanning finance, healthcare, e-commerce, education, automotive, transportation, gaming, and more, you can create complex, realistic datasets instantly. Features include per-field blank percentage control for testing null handling, auto-increment IDs, drag-and-drop field reordering, SQL dialect support (MySQL, PostgreSQL, SQL Server, SQLite, Oracle, MariaDB, MongoDB), format-specific export options, and a searchable modal interface with category filtering. Generate data that passes validation checks while maintaining complete privacy and GDPR compliance. All processing happens in your browser - no data is sent to any server.

Who is it for?

Essential for full-stack developers building and testing applications, QA engineers creating comprehensive test datasets, database administrators seeding development and staging databases, API developers testing endpoints with realistic data, frontend developers building UI mockups and demos, backend engineers populating databases for load testing, DevOps engineers setting up test environments, data scientists creating sample datasets, product managers demonstrating features, fintech developers testing payment systems, healthcare software developers complying with HIPAA requirements, e-commerce platform developers testing checkout flows, educational software developers, game developers testing leaderboards and achievements, and any developer needing realistic mock data without using production information.

How to use the tool

1

Click 'Add Field' to create your custom data schema

2

Click on the 'Data Type' button to open the modal with 106+ data types organized into 20 categories

3

Search or filter by category (Finance, Healthcare, E-commerce, Gaming, etc.) to find the perfect data type

4

Configure field-specific options like min/max values, date formats, or blank percentage

5

Drag fields using the grip icon to reorder your schema

6

Set the number of rows to generate (1-10,000)

7

Choose your export format: JSON, CSV, SQL, XML, Firebase, InfluxDB, or Custom

8

Configure format-specific options (SQL dialect, include headers, line endings, etc.)

9

Click 'Generate Data' to create your mock dataset instantly

10

Copy to clipboard or download as a file for immediate use in your project

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