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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, 'Olivia Gonzalez', '[email protected]', TRUE, '2022-02-21T05:54:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (2, 'Olivia Jones', '[email protected]', FALSE, '2021-06-06T23:05:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (3, 'Bob Davis', '[email protected]', FALSE, '2021-07-13T16:11:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (4, 'Diana Anderson', '[email protected]', FALSE, '2025-11-12T21:16:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (5, 'Jack Jones', '[email protected]', TRUE, '2024-02-15T23:48:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (6, 'Leo Hernandez', '[email protected]', FALSE, '2021-07-07T06:14:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (7, 'Eve Jones', '[email protected]', TRUE, '2020-05-24T19:35:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (8, 'Alice Gonzalez', '[email protected]', TRUE, '2021-05-27T15:01:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (9, 'Grace Jones', '[email protected]', FALSE, '2020-01-15T08:57:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (10, 'Grace Wilson', '[email protected]', TRUE, '2022-01-16T22:58:00Z');

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