Mock Data Generator
Generate realistic fake data for testing and database seeding in JSON, CSV, and SQL.
Realistic Mock Data & Seeder Studio
Generate test data for software development, QA testing, and database schema population in JSON, CSV, and SQL formats.
About Mock Data Generator
Mock Data Generator is an all-in-one developer utility designed to generate structured, realistic dummy datasets for software engineering, QA testing, and database seeding. When prototyping new user interfaces, writing unit tests, or stress-testing backend queries, hardcoding sample data by hand is tedious and error-prone. Our generator provides customizable schema fields including names, UUIDs, Indonesian and international telephone numbers, emails, addresses, monetary values, and timestamps with instant export to formatted JSON, CSV spreadsheets, and ready-to-run SQL INSERT statements.
How to Use Mock Data Generator
Choose a schema preset or build your own
Click User Profiles, E-Commerce Orders, or Company Staff to load an instant schema, or use Add Custom Field to define your own keys and types.
Configure field data types
Assign data generators to each column, selecting from auto-increment IDs, UUIDs, full names, Indonesian or US phone numbers, company names, job titles, prices, and timestamps.
Select row count and export format
Choose your desired output size (from 10 up to 250 records) and pick whether you want a JSON array, a comma-separated CSV table, or SQL INSERT queries.
Copy or download the dataset
Click Generate Data to synthesize the records instantly, then copy the result to your clipboard or download a clean data file for your test suite.
Why Use Mock Data Generator: Common Use Cases
Backend Database Seeding and Migrations
Database administrators and backend developers can generate bulk SQL INSERT queries to populate staging databases with believable records for performance benchmarking.
Frontend API Mocking and Prototyping
React, Vue, and Next.js developers can copy realistic JSON payloads to configure Mock Service Worker (MSW) or stub endpoints before backend services are finalized alongside our JSON Formatter.
Quality Assurance and Edge Case Testing
QA engineers can quickly generate diverse datasets to test table pagination, searching, sorting, and form validation behaviors across different character sets.
Spreadsheet Demos and Product Presentations
Product teams can create sanitized demo spreadsheets with believable customer orders and revenue figures without leaking proprietary production data alongside our Online Spreadsheet.
Mock Data Generator Specifications
| Input Formats | Custom schema keys, Preset selections, Row volume dropdown (10-250) |
|---|---|
| Output Formats | Formatted JSON Array, Comma-separated CSV, SQL INSERT statements |
| File Size Limit | No strict limit (dependent on device memory) |
| Processing Engine | 100% Client-side (Runs locally in your browser) |
| Data Retention | Files never leave your device |
| Batch Processing | Single file processing |
Tips for Mock Data Generator
When generating SQL INSERT statements, customize the Table Name input to match your exact database table identifier to avoid syntax errors.
For API development, export in JSON format and save as db.json to spin up a quick zero-code local REST server using json-server.
Use the Auto Increment ID type for relational foreign key lookups and UUID for distributed distributed system record testing.
Combine mock data generation with our CSV to JSON converter when transforming legacy test datasets across varied development environments.
Frequently Asked Questions
Is the generated mock data completely fake?
Yes. All names, emails, addresses, and phone numbers are randomly combined from extensive fictional dictionaries and follow valid syntactic structures without representing real individuals.
Can I export mock data directly to a PostgreSQL or MySQL database?
Yes. Select the SQL INSERT format, type your table name, and copy the resulting INSERT INTO queries directly into your database terminal or migration file.
Does this tool require uploading anything or making API calls?
No. The entire faker generation algorithm runs 100% locally in your web browser with instantaneous generation and zero network transmission.
Are Indonesian phone numbers and names supported?
Yes. You can select Phone (+62 Indonesia) to produce authentic telecommunication prefixes, as well as Indonesian first and last name combinations.
What is the maximum number of rows I can generate at once?
You can generate up to 250 rows in a single batch directly in the browser. You can re-generate new batches as many times as you like without rate limits.
Can I add multiple fields of the same type?
Yes. You can add as many fields as you need, naming them distinctly such as shipping_address and billing_address, or created_at and updated_at.