Why Use Fake Data?
Realistic test data is essential for development, QA testing, demos, and prototyping. Instead of manually creating records or using production data (which raises privacy concerns), generate fake data that looks real but contains no actual personal information.
Supported Data Types
Generate users (names, emails, avatars), products (titles, prices, descriptions), addresses (street, city, state, zip), companies (name, industry, revenue), transactions (amounts, dates, statuses), and events (titles, dates, locations). Each type produces realistic, randomized records.
API Access
Use our REST API: POST /api/data/fake with JSON body {"type": "user", "count": 5}. Returns an array of generated records. Free for 100 calls/day.