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Mock Data Generator

Define columns and types, generate realistic fake data as SQL INSERT statements, CSV, or JSON.

Columns
Output
CREATE TABLE users (
  id SERIAL PRIMARY KEY,
  name TEXT,
  email TEXT,
  active BOOLEAN,
  created_at TIMESTAMPTZ
);

INSERT INTO users (id, name, email, active, created_at) VALUES (1, 'Eve Davis', '[email protected]', TRUE, '2025-04-09T08:01:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (2, 'Olivia Davis', '[email protected]', TRUE, '2025-07-08T00:57:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (3, 'Leo Davis', '[email protected]', FALSE, '2020-09-14T08:21:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (4, 'Diana Williams', '[email protected]', TRUE, '2025-12-12T19:30:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (5, 'Diana Jones', '[email protected]', FALSE, '2024-04-25T02:21:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (6, 'Eve Garcia', '[email protected]', FALSE, '2025-05-01T15:32:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (7, 'Diana Brown', '[email protected]', TRUE, '2024-04-20T07:43:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (8, 'Mia Smith', '[email protected]', TRUE, '2021-08-05T16:45:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (9, 'Ivy Lopez', '[email protected]', FALSE, '2021-01-22T22:51:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (10, 'Paul Wilson', '[email protected]', FALSE, '2025-07-06T23:28:00Z');

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