Seed data that finds the bugs.

Seed CI and staging databases with realistic records plus the edge cases real users bring: accents, right-to-left scripts, very long names, never-logged-in users and soft deletes.

Generate data free All capabilities

Free trial for every new account. No credit card.

The example

A test organisation, seeded for a CI run

What to look for in the screenshot above. These are the details that usually break in hand-made or random test data.

Users carry every role your app supports: owner, admin, member and viewer.
Edge cases on purpose: plus-addressing, accented and non-Latin names, an Arabic RTL name, a 46-character name.
A user who never logged in (NULL last_login_at) and a soft-deleted user with deleted_at set.
A classic injection-style display name, to prove your app escapes what it renders.

Built for Software Testing & QA teams

Every role and state

Owners, admins, members, viewers, invited, suspended and deleted users.

Edge cases built in

Unicode, RTL text, long strings, empty and NULL values where columns allow them.

Fast CI seeding

One SQL file per dataset, loaded in a single transaction before each test run.

Repeatable

Same seed, same data, so failing tests reproduce exactly.

How it works

From idea to dataset in three steps

Describe or upload

Describe your data in plain English, or upload your SQL schema for PostgreSQL, MySQL / MariaDB, SQL Server and SQLite.

Review the plan

Check the tables, columns and rules the AI proposes, and adjust anything you like.

Generate and download

Choose how many rows you need and download a ready-to-run SQL script, CSV, Excel (one sheet per table) or JSON.

Questions

Can I seed via the API from my CI pipeline?

Yes. Call the REST API with a saved schema_id and seed, then load the SQL file in your pipeline.

Will it respect my app's enums and constraints?

Yes. Upload your DDL; enums, CHECK constraints and foreign keys are respected.

Can I include anomalies to test validation?

Yes. Turn on anomalies to add realistic bad values for validation tests.