What Is the Fake Data Generator?
The EasyDevTools Fake Data Generator creates realistic test records entirely in your browser. Pick from 18 field types including names, emails, phone numbers, addresses, company names, job titles, UUIDs, dates, booleans and numbers. Choose your output format — JSON, CSV or SQL INSERT statements — and download or copy the result in one click. No server, no API keys, no upload required.
Why Test Data Matters
Every developer needs sample data at some point: seeding a local database, building a UI prototype, writing integration tests or demoing a feature to stakeholders. Hardcoding records is tedious and unrealistic. Manually typing rows is slow and error-prone. A dedicated generator gives you hundreds of consistent, varied rows in seconds, so you can focus on the code that matters.
Without realistic test data, you cannot verify that your application handles edge cases correctly — unusually long names, special characters in email addresses, missing optional fields or boundary values in numeric fields. The generator produces varied enough data to surface these issues before they reach production, catching bugs that unit tests with static fixtures would miss.
Supported Field Types
| Field | Example Output |
|---|---|
| id | `a1b2c3d4-e5f6-7890-abcd-ef1234567890` |
| firstName | `Samantha` |
| lastName | `Nakamura` |
| `samantha.nakamura@example.com` | |
| phone | `(415) 555-0198` |
| address | `742 Evergreen Terrace, Springfield` |
| city | `Austin` |
| state | `TX` |
| zip | `78701` |
| country | `US` |
| company | `Nakamura Consulting` |
| jobTitle | `Senior Product Designer` |
| age | `34` |
| date | `2024-03-15` |
| boolean | `true` |
| number | `42.7` |
| uuid | `f47ac10b-58cc-4372-a567-0e02b2c3d479` |
| lorem | `Lorem ipsum dolor sit amet...` |
How to Generate Data in Four Steps
Pick the fields you need — check the boxes next to each column type
Set the row count between 1 and 500 using the number input
Choose your output format: JSON array, comma-separated CSV or SQL INSERT statements
Click Generate and copy or download the result instantly
Output Formats: JSON, CSV and SQL
JSON mode produces a single array of objects with 2-space indentation — strings for names, numbers for ages, booleans for the boolean field. CSV mode generates a header row followed by data rows, with commas automatically escaped in strings. SQL mode wraps every row in an INSERT INTO statement with a default table name of `records`, with proper string escaping. All three formats are available with one click, and you can switch between them without regenerating the data.
The JSON output is particularly useful for frontend development — paste it directly into your state management mock data or use it as fixture files in your test suite. The CSV output works with any spreadsheet application or pandas DataFrame. The SQL output can be saved as a `.sql` file and run against your local development database in a single command.
How Randomness Works and Privacy
First names, last names, cities, companies and job titles come from built-in arrays of real-world English-language values. IDs, ages and floating-point numbers use `crypto.getRandomValues` for cryptographic-quality randomness. Dates are generated within a configurable range. The combination produces data that looks realistic at a glance while being entirely synthetic. Every computation runs inside your browser — no data is uploaded, no cookies are set and no analytics track what you generate. You can even disconnect from the internet after the page loads and it will continue working.
Common Use Cases
Seeding a local development database with hundreds of user-like rows for integration testing
Building prototype dashboards and admin panels with realistic customer data before connecting a backend
Writing unit or integration tests that need varied input across multiple data types
Demonstrating a feature to stakeholders without exposing real user records or violating privacy policies
Generating sample payloads for API documentation and SDK examples
Populating a demo environment with plausible-looking records for sales demos or investor presentations
Frequently Asked Questions
Q: Where does the random data come from?
A: Built-in arrays of first names, last names, cities, companies and jobs — combined with `crypto.getRandomValues` for IDs, ages and numbers.
Q: Is the data realistic?
A: Reasonably — names are real first and last names from common English-speaking countries, emails follow standard patterns, addresses use real city names. The data is fake and should not be used to impersonate anyone.
Q: Can I get the output as SQL?
A: Yes — SQL INSERT statements with proper string escaping. Useful for seeding test databases.
Q: Is the data uploaded anywhere?
A: No. Generation happens entirely in your browser. No server calls are made.
