Test Data Generator Online

Generate realistic fake data for QA testing, API validation, forms, users, products, orders, and edge cases.

Aruvix Test Data Generator helps QA teams create realistic browser-local test data without sending input to a server.

Test data generator workspace The interactive tool loads here immediately.

What is Test Data Generator

A test data generator creates realistic fake records — users, products, orders, bookings — so QA engineers can populate test environments, validate API contracts, and test form inputs without using real personal data.

Why use Test Data Generator

Use it when you need bulk fake data for manual testing, automated test suites, API payload validation, database seeding, or form testing without creating real accounts or exposing private data.

Features

  • Generate fake users, products, orders, and bookings
  • Export as JSON, CSV, SQL INSERT, JavaScript, or TypeScript
  • Set row count and field nullability
  • Include edge-case and boundary-value records
  • Browser-local generation — no data sent to a server

How to use

  1. Paste a schema JSON with template and count.
  2. Choose a format from the settings panel.
  3. Click Run Tool to generate the data.
  4. Copy or download the output.

FAQ

Does test data generation happen locally?

Yes. All data is generated in your browser. Nothing is sent to a server.

Can I generate CSV or SQL test data?

Yes. Choose CSV, SQL INSERT, JSON, JavaScript, or TypeScript as the output format.

Is the generated data realistic?

Yes. Names, emails, addresses, dates, UUIDs, and values follow realistic patterns using built-in fake data templates.

Should I use this for real customer data?

No. I built it to create fake records so teams can test flows without exposing real people, accounts, or production exports.

Can I include edge cases?

Yes. Use the settings to include boundary-style values so tests cover more than the happy path.

Can I copy or download the output?

Yes. Copy the generated data or download it in the selected format for fixtures, seed scripts, or manual QA.