Bulk Data Generator
Generate large datasets with customizable fields. Export to CSV or JSON for database seeding and testing.
Settings
Preview (First 10 records)
Total generated: 10| firstName | lastName | phone | address | city | country | zip | birthDate | |
|---|---|---|---|---|---|---|---|---|
| Barbara | Brown | barbara.brown@example.com | +1 (478) 458-4468 | 8294 Main St | New York | United States | 63499 | 1978-05-15 |
| Mary | Williams | mary.williams@icloud.com | +1 (212) 814-6409 | 3719 Hill St | Houston | United States | 73177 | 1997-04-19 |
| Susan | Gonzalez | susan.gonzalez@yahoo.com | +1 (695) 725-2162 | 5853 Market St | Phoenix | United States | 67515 | 1977-04-22 |
| Robert | Williams | robert.williams@outlook.com | +1 (367) 227-7986 | 3793 Market St | Los Angeles | United States | 35630 | 2015-10-16 |
| Susan | Lopez | susan.lopez@example.com | +1 (680) 495-4994 | 7868 Market St | Chicago | United States | 42459 | 1986-02-11 |
| Joseph | Garcia | joseph.garcia@example.com | +1 (555) 993-9852 | 5673 Broad St | San Antonio | United States | 51065 | 2018-09-04 |
| Michael | Rodriguez | michael.rodriguez@icloud.com | +1 (374) 508-4417 | 9683 Lake St | Phoenix | United States | 83967 | 1988-06-18 |
| Patricia | Davis | patricia.davis@example.com | +1 (401) 358-2404 | 5245 High St | New York | United States | 60371 | 1977-01-16 |
| Elizabeth | Martinez | elizabeth.martinez@icloud.com | +1 (599) 848-7999 | 2348 Main St | Los Angeles | United States | 40459 | 1988-08-16 |
| Joseph | Miller | joseph.miller@outlook.com | +1 (407) 539-4065 | 9424 Elm St | Houston | United States | 45446 | 2015-10-03 |
What is This Tool?
A bulk data generator creates large volumes of realistic test data in multiple formats including CSV, JSON, SQL, and XML. Configure data schemas with dozens of field types — names, emails, addresses, numbers, dates, custom patterns — and generate thousands of records in seconds.
Realistic test data at scale is critical for performance testing, database migration validation, and ML model training. This generator ensures referential integrity, configurable null rates, and statistical distributions that mirror real-world data patterns.
Common Use Cases
Database Seeding
Generate thousands of test records for PostgreSQL, MySQL, MongoDB, and other databases to test query performance and indexing strategies.
Load & Performance Testing
Create large CSV/JSON datasets for stress testing APIs, ETL pipelines, and data processing workflows under realistic data volumes.
Machine Learning
Generate labeled training data with controlled distributions for prototyping ML models before real data is available.
Data Migration Testing
Create source data that mirrors production schemas for testing database migration scripts, data transformation logic, and ETL processes.
Frequently Asked Questions
How many records can I generate?
The browser-based generator handles thousands of records comfortably. For larger volumes (100K+), consider using the API or downloading in batches.
What output formats are supported?
CSV, JSON, SQL INSERT statements, XML, and TSV. Each format includes proper escaping and encoding for direct import into your target system.
Can I define custom field types?
Yes. Beyond built-in types (name, email, address), you can define custom patterns, regex-based generators, and weighted random selections.