Mock User Data Generator

How to use

1. 1️⃣
   Choose your options above
2. 2️⃣
   Click Generate
3. 3️⃣
   Copy your result

Detailed instructions

1. Set the count field to the number of fake user profiles you need, from 1 up to your desired batch size.
2. Choose JSON for API testing, seed scripts, and Postman fixtures, or CSV for spreadsheet imports and database COPY commands.
3. Click Generate to produce the full set of user profiles with UUIDs, names, emails, ages, roles, and timestamps.
4. Copy the output and paste it directly into your fixture file, database import tool, or API client.

Use Cases

• •Seeding a local PostgreSQL development database with 50 varied user rows via COPY or a seed script
• •Populating a React admin dashboard with fake user table data before the backend API is ready
• •Testing JWT authentication endpoints in Postman that require valid user objects with UUIDs and roles
• •Generating a CSV import file to stress-test a bulk user upload feature in a staging environment
• •Mocking role-varied user arrays in Storybook component stories to validate RBAC permission UI states

Tips

• →Generate a batch of 3-5 users first to confirm the output structure matches your schema before scaling to larger counts.
• →When seeding a relational database, generate users first and note the UUIDs — use them as foreign keys in related mock tables.
• →CSV output includes a header row, so you can import it directly into pgAdmin's import tool or Google Sheets without editing.
• →For RBAC testing, generate two separate batches and manually set one batch's role to admin so you have a clean split for permission tests.
• →Paste JSON output into JSONLint or your editor's JSON formatter before importing — catching malformed output early prevents confusing test failures.
• →If your frontend uses pagination, generate 50+ users and slice the array in your seed script to simulate realistic multi-page data sets.

FAQ