Fake Data Generator
Generate realistic mock data — names, emails, addresses, dates — as JSON, CSV, or SQL
Schema Builder
You are building a user management dashboard and need 500 realistic test records — names, emails, phone numbers, addresses, registration dates — in JSON format that matches your API schema. Writing a script with Faker.js every time is slow. You need a visual schema builder that generates structured mock data instantly.
Why Use Fake Data Instead of Production Data
Using real production data in development and testing environments creates privacy and compliance risks. GDPR, CCPA, and HIPAA all restrict how personal data can be used outside production. Fake data that looks realistic but contains no actual personal information eliminates these risks entirely.
This tool generates data that passes visual inspection and format validation — realistic names, valid-looking email addresses, properly formatted phone numbers — without corresponding to any real person.
Schema Builder
Define your data structure visually. Each field has a type that determines what kind of fake data is generated:
| Field Type | Example Output | Notes |
|---|---|---|
| Full Name | ”Sarah Johnson” | First + last name |
| First Name | ”Marcus” | Given name only |
| Last Name | ”Chen” | Family name only |
| ”sarah.j@example.com” | RFC 5321 format | |
| Phone | ”+1 (555) 234-5678” | Configurable format |
| Address | ”742 Evergreen Terrace, Springfield, IL 62704” | Street, city, state, zip |
| Date | ”2024-03-15” | Configurable range |
| Integer | 42 | Min/max configurable |
| Float | 3.14 | Precision configurable |
| Boolean | true | 50/50 distribution |
| UUID | ”550e8400-e29b-41d4-a716-446655440000” | v4 format |
| Custom List | ”admin” | Pick from your values |
Output Formats
JSON — Array of objects matching your schema. Ready to import into APIs, databases, or test fixtures. Properly formatted with configurable indentation.
CSV — Header row plus data rows. Compatible with Excel, Google Sheets, database import tools, and any CSV parser.
SQL INSERT — Generate INSERT statements for direct database seeding. Specify your table name and the tool outputs valid SQL.
Use Cases
API development. Generate response fixtures that match your API contracts. Test frontend components with realistic data shapes before the backend is ready.
Database seeding. Populate development and staging databases with thousands of records. Test query performance, pagination, and search with realistic data volumes.
UI testing. Verify that layouts handle names of varying lengths, long email addresses, multi-line addresses, and edge cases like single-character names.
Demo environments. Create realistic-looking demo data for sales presentations, investor pitches, or documentation screenshots without exposing real customer data.
Privacy
All data generation runs entirely in your browser. No schemas, generated data, or settings are transmitted to any server. The generated data is randomly assembled from common name/address pools and does not correspond to real individuals.
Frequently Asked Questions
How many records can I generate? The tool supports generating up to 10,000 records at once. For larger datasets, generate in batches and concatenate the output.
Can I define nested objects in the schema? Yes. Add a field of type “Object” to create nested structures, or “Array” to generate lists within each record. This lets you model complex API responses with nested relationships.
Are the generated emails valid? The emails follow RFC 5321 format and use example.com or similar reserved domains. They look realistic but won’t accidentally send mail to real addresses.
Can I save my schema for reuse? Your schema configuration is preserved in your browser’s local storage. It persists across sessions until you clear your browser data.
Does the generated data follow a specific locale? The default locale uses English names and US-format addresses. You can select different locales for names and address formats appropriate to your target market.