Mock Data Generator Pro
Generate realistic mock data in JSON, CSV, SQL, or XML format. Create up to 10,000 rows with custom fields and 10+ data types. Perfect for testing databases, APIs, and UIs.
Fields
Options
How to Use Mock Data Generator Pro
- 1Define your data structure by entering field names and selecting their types from the dropdown (email, phone, date, name, etc.).
- 2Click "+ Add Field" to add more columns. Remove unwanted fields with the "✕" button. Reorder fields by editing the order they appear.
- 3Choose how many rows you want (1-10,000) and the output format (JSON, CSV, SQL, or XML). For SQL, optionally set the table name.
- 4Click "Generate Data" and instantly get your mock dataset. Preview the first 5 rows, copy all data, or download as a file.
Mock Data Generator Pro Features
Everything you need to quickly create test datasets for development, testing, and prototyping.
Key Features
10+ Data Types
Random string, number, email, phone, date, boolean, UUID, full name, address, and URL. Mix and match to create realistic datasets that match your schema.
Multiple Output Formats
JSON for APIs, CSV for spreadsheets, SQL for direct database import, XML for legacy systems. Copy data or download as files ready to use.
Bulk Generation
Generate up to 10,000 rows instantly. Save time compared to manual test data entry. Perfect for load testing and performance benchmarking.
Live Preview
See the first 5 rows of your generated data before committing. Verify structure and formatting are correct. Adjust and regenerate as needed.
No Server Upload
All generation happens in your browser. Data never leaves your computer. Perfect for sensitive test data or confidential schemas.
Flexible Fields
Add, remove, and reorder fields dynamically. Give fields any name (id, user_email, address, etc.). Build complex schemas quickly.
Common Use Cases
Database Testing
Generate SQL INSERT statements to populate test databases. Verify queries and indexes perform well with realistic data before production rollout.
API Development
Create JSON datasets for testing REST APIs during development. Mock realistic payloads before integrating real data sources.
UI Testing
Generate test data with various field lengths (short names, long emails, special characters) to verify UI handles all cases correctly.
Load Testing
Create large datasets (10K rows) to stress-test databases and APIs. Measure performance at scale before users arrive.
Frequently Asked Questions
What is mock data and why do I need it?
Mock data (or test data) is realistic, randomly generated data used for testing software. Developers use mock data to: (1) Test database operations without real user data, (2) Verify UI with various input lengths and formats, (3) Load test systems without waiting for real data, (4) Develop features before real data exists. Mock data generator tools save time by creating thousands of records in seconds instead of manually entering fake data.
What data types are supported?
The generator supports 10+ data types: Random String (random characters), Number (integers), Email Address (valid format), Phone Number (formatted), Date (YYYY-MM-DD), Boolean (true/false), UUID (unique IDs), Full Name (realistic names), Address (street, city, ZIP), and URL (web addresses). You can mix and match types to build custom datasets.
What output formats are available?
Four formats: (1) JSON - structured objects, ideal for APIs and JavaScript. (2) CSV - comma-separated values, universal spreadsheet format. (3) SQL - INSERT statements, ready to load into databases. (4) XML - markup format, useful for legacy systems. Each format can be copied or downloaded as a file.
How many rows can I generate?
Up to 10,000 rows per generation. If you need more, run the generator multiple times and concatenate the results. For larger datasets (millions of rows), consider production tools like Faker libraries or AWS DMS.
Can I generate related data (foreign keys)?
Currently the generator creates independent records. For related data (e.g., users and their orders), generate each table separately, then manually establish relationships using sequential IDs. Future versions may support relationship mapping.
Is the generated data truly random?
Yes, each value is randomly generated from seed data. Names come from a list of 16 first names and 16 last names (256 combinations). Emails, phones, dates, and addresses are all randomly constructed. This means you can generate the same data multiple times if needed.
Can I use this for production systems?
No. Mock data is for testing and development only. For production, always use real user data (with appropriate privacy controls) or dedicated synthetic data platforms like Tonic.ai or Grepper that handle compliance and data masking.
Do you store my generated data?
No. All generation happens in your browser. We don't store, log, or transmit your data to any server. The "Download" button saves directly to your computer. You can safely generate data containing test sensitive information.