Generate random JSON objects for testing and development:
{
"id": "b9e6bb56-268a-4984-8e68-718bd6310be9",
"name": "Robyn Gerlach",
"description": "Aperte valetudo pecus defendo eum sumo collum suffoco depromo.",
"age": 78,
"price": 96.49,
"quantity": 68,
"isActive": true,
"isVerified": true,
"createdAt": "2025-01-23T20:11:26.174Z",
"updatedAt": "2026-01-01T16:21:44.503Z",
"email": "Martine96@hotmail.com",
"website": "https://dismal-behest.net/",
"avatar": "https://avatars.githubusercontent.com/u/22744700",
"uuid": "3b3afd7c-bd9e-4580-9acf-166ba43aa871",
"tags": [
"toothpick",
"exterior",
"cross-contamination"
],
"scores": [
39,
99,
37
],
"address": {
"street": "106 Kirstin Knoll",
"city": "Deronville",
"country": "Saint Martin",
"zipCode": "55778-8976"
},
"company": {
"name": "Strosin, Langworth and Conroy",
"department": "Movies"
}
}Refresh page to generate another.
The generator can include UUIDs, strings (names, descriptions), numbers (integers, floats), booleans, ISO dates, arrays, nested objects, emails, and URLs. You can toggle each type on or off.
All data is generated using Faker.js, a popular library that creates realistic fake data including names, addresses, emails, and more. The data follows realistic patterns but is entirely fictional.
This tool is intended for development and testing purposes only. The generated data is random and should not be used for production systems or real user data.
Yes, all generated objects are valid JSON that can be parsed by any JSON parser. The output is properly formatted with indentation for readability.
Yes! Use the checkboxes above the output to include or exclude different field types. This allows you to generate objects that match your specific testing needs.