Realistic Demo Data Generator
Generate seeded users, products, orders, and transactions with consistent references. Export JSON or table-specific CSV, free without AI or external APIs.
Export dataset
{
"users": [
{
"id": "user_1",
"name": "Robin Patel",
"email": "person1@example.com",
"city": "London"
},
{
"id": "user_2",
"name": "Taylor Kim",
"email": "person2@example.com",
"city": "Toronto"
},
{
"id": "user_3",
"name": "Sam Okafor",
"email": "person3@example.com",
"city": "London"
},
{
"id": "user_4",
"name": "Taylor Patel",
"email": "person4@example.com",
"city": "Nairobi"
},
{
"id": "user_5",
"name": "Avery Ellis",
"email": "person5@example.com",
"city": "Lisbon"
},
{
"id": "user_6",
"name": "Alex Chen",
"email": "person6@example.com",
"city": "London"
},
{
"id": "user_7",
"name": "Sam Okafor",
"email": "person7@example.com",
"city": "Lagos"
},
{
"id": "user_8",
"name": "Maya Kim",
"email": "person8@example.com",
"city": "Lagos"
},
{
"id": "user_9",
"name": "Sam Patel",
"email": "person9@example.com",
"city": "Nairobi"
},
{
"id": "user_10",
"name": "Maya Patel",
"email": "person10@example.com",
"city": "Lisbon"
}
],
"products": [
{
"id": "product_1",
"name": "Linen cover 1",
"priceCents": 7600,
"currency": "USD",
"stock": 60
},
{
"id": "product_2",
"name": "Reading light 2",
"priceCents": 6300,
"currency": "USD",
"stock": 7
},
{
"id": "product_3",
"name": "Sketch pencil set 3",
"priceCents": 9400,
"currency": "USD",
"stock": 38
},
{
"id": "product_4",
"name": "Glass carafe 4",
"priceCents": 3700,
"currency": "USD",
"stock": 64
},
{
"id": "product_5",
"name": "Linen cover 5",
"priceCents": 8300,
"currency": "USD",
"stock": 9
},
{
"id": "product_6",
"name": "Sketch pencil set 6",
"priceCents": 4800,
"currency": "USD",
"stock": 54
},
{
"id": "product_7",
"name": "Glass carafe 7",
"priceCents": 2900,
"currency": "USD",
"stock": 65
},
{
"id": "product_8",
"name": "Desk organizer 8",
"priceCents": 5900,
"currency": "USD",
"stock": 55
},
{
"id": "product_9",
"name": "Canvas tote 9",
"priceCents": 8600,
"currency": "USD",
"stock": 58
},
{
"id": "product_10",
"name": "Desk organizer 10",
"priceCents": 4300,
"currency": "USD",
"stock": 51
}
],
"orders": [
{
"id": "order_1",
"userId": "user_2",
"productId": "product_10",
"quantity": 3,
"totalCents": 12900,
"currency": "USD",
"status": "pending",
"createdAt": "2026-01-03T00:00:00.000Z"
},
{
"id": "order_2",
"userId": "user_1",
"productId": "product_3",
"quantity": 1,
"totalCents": 9400,
"currency": "USD",
"status": "canceled",
"createdAt": "2026-02-21T00:00:00.000Z"
},
{
"id": "order_3",
"userId": "user_7",
"productId": "product_3",
"quantity": 4,
"totalCents": 37600,
"currency": "USD",
"status": "pending",
"createdAt": "2026-01-02T00:00:00.000Z"
},
{
"id": "order_4",
"userId": "user_1",
"productId": "product_1",
"quantity": 2,
"totalCents": 15200,
"currency": "USD",
"status": "canceled",
"createdAt": "2026-03-13T00:00:00.000Z"
},
{
"id": "order_5",
"userId": "user_10",
"productId": "product_1",
"quantity": 1,
"totalCents": 7600,
"currency": "USD",
"status": "canceled",
"createdAt": "2026-01-27T00:00:00.000Z"
},
{
"id": "order_6",
"userId": "user_10",
"productId": "product_4",
"quantity": 4,
"totalCents": 14800,
"currency": "USD",
"status": "paid",
"createdAt": "2026-03-04T00:00:00.000Z"
},
{
"id": "order_7",
"userId": "user_4",
"productId": "product_6",
"quantity": 4,
"totalCents": 19200,
"currency": "USD",
"status": "canceled",
"createdAt": "2026-02-01T00:00:00.000Z"
},
{
"id": "order_8",
"userId": "user_5",
"productId": "product_6",
"quantity": 2,
"totalCents": 9600,
"currency": "USD",
"status": "canceled",
"createdAt": "2026-01-08T00:00:00.000Z"
},
{
"id": "order_9",
"userId": "user_4",
"productId": "product_1",
"quantity": 4,
"totalCents": 30400,
"currency": "USD",
"status": "paid",
"createdAt": "2026-03-06T00:00:00.000Z"
},
{
"id": "order_10",
"userId": "user_5",
"productId": "product_5",
"quantity": 1,
"totalCents": 8300,
"currency": "USD",
"status": "paid",
"createdAt": "2026-03-24T00:00:00.000Z"
}
],
"transactions": [
{
"id": "transaction_1",
"orderId": "order_1",
"amountCents": 12900,
"currency": "USD",
"status": "pending"
},
{
"id": "transaction_2",
"orderId": "order_2",
"amountCents": 9400,
"currency": "USD",
"status": "canceled"
},
{
"id": "transaction_3",
"orderId": "order_3",
"amountCents": 37600,
"currency": "USD",
"status": "pending"
},
{
"id": "transaction_4",
"orderId": "order_4",
"amountCents": 15200,
"currency": "USD",
"status": "canceled"
},
{
"id": "transaction_5",
"orderId": "order_5",
"amountCents": 7600,
"currency": "USD",
"status": "canceled"
},
{
"id": "transaction_6",
"orderId": "order_6",
"amountCents": 14800,
"currency": "USD",
"status": "succeeded"
},
{
"id": "transaction_7",
"orderId": "order_7",
"amountCents": 19200,
"currency": "USD",
"status": "canceled"
},
{
"id": "transaction_8",
"orderId": "order_8",
"amountCents": 9600,
"currency": "USD",
"status": "canceled"
},
{
"id": "transaction_9",
"orderId": "order_9",
"amountCents": 30400,
"currency": "USD",
"status": "succeeded"
},
{
"id": "transaction_10",
"orderId": "order_10",
"amountCents": 8300,
"currency": "USD",
"status": "succeeded"
}
]
}Export text stays in English; your input is kept as entered.
No signup. No AI credits. This tool assembles your output in your browser.
From an idea to something useful.
- 01
Choose the number of records and a repeatable seed.
- 02
Inspect users, products, orders, and transactions.
- 03
Export the complete JSON dataset or CSV for a selected table.
A little context.
This generator uses curated fictional names and deterministic pseudorandom values. Orders reference generated users and products; transactions reference generated orders. Amounts are integer cents and all currency values are USD sample data. Every order has one line item and one matching transaction. Identical seeds and counts produce identical exports.
Good questions.
Are these real people or transactions?
No. All records are synthetic fixtures. Email addresses use the reserved example.com domain.
Why does CSV download one table at a time?
CSV describes one rectangular table. Choose the table to download, or use JSON to retain the complete related dataset.