JSON Mock Generator

Generate mock JSON data for API testing and development.

Select Template
Choose a mock data template
Runs entirely in your browser. No uploads. Your files stay private.

What Is a JSON Mock Generator?

A JSON mock generator hands you a ready-to-use sample of structured JSON that matches a common API shape - a user object, a product, a generic API envelope - so you can paste it straight into a Postman collection, a Mock Service Worker handler, or a unit-test fixture without writing the structure from scratch each time.
This generator is intentionally template-first rather than schema-first. The source above defines three canonical shapes (User, Product, API Response) hand-picked because they cover the 80/20 of API contract patterns: a domain entity with timestamps, a domain entity with prices and tags, and a wrapper response with success / data / timestamp envelope fields. Click a button and the generator stringifies the corresponding object via JSON.stringify(template, null, 2) - the same pretty-printed two-space-indent output you'd get from your formatter.
Where this fits in the wider tooling landscape: heavyweight schema-driven generators like Mockaroo, JSON Schema Faker, or Faker.js let you declare arbitrary field shapes and produce thousands of records. They're the right answer when you need 10,000 unique users for load testing or want randomized data driven by an OpenAPI schema. This tool is the right answer when you need three lines of representative JSON in 10 seconds and don't want to learn a DSL first.
Each template uses live JavaScript values: new Date().toISOString() produces an ISO 8601 UTC timestamp every time you click (not a frozen literal), and Date.now() emits the current Unix milliseconds. That means two clicks 30 seconds apart produce slightly different timestamps - useful when you need fresh fixtures and don't want one stale snapshot to drift through your tests.
The User template includes id, name, email, role, and createdAt. ISO 8601 timestamps are the default for new APIs because they're unambiguous (UTC marker, sub-second precision), sortable as plain strings, and parseable by every JSON-aware language. The Product template includes a price as a JavaScript number - which is the standard JSON convention but worth noting that for currency you often want strings or integers in cents to avoid IEEE 754 floating-point rounding (29.99 + 0.01 isn't exactly 30 in any language).
The API Response template demonstrates the standard envelope pattern: a success boolean, a data field for the actual payload, and a timestamp. JSON:API, JSend, and Google's API design guide all use a variant of this. Including the envelope in your fixtures from day one prevents the "we built half our frontend assuming response.foo and now the API uses response.data.foo" refactor that costs every team a sprint.
Output is plain editable text - paste it back into the textarea, modify any field, and copy the result. There's no validation step on edit, so you can break the JSON deliberately for testing your error handling. For tighter validation, run the modified output through the JSON Formatter tool, which uses JSON.parse and surfaces the precise offset of the first syntax error.

Common Use Cases

01

Bootstrapping a Postman collection

Drop the User or Product template into a Postman example response so newcomers see realistic data the moment they open the collection.

02

Mock Service Worker handlers

Paste the API Response template into an MSW handler as the default 200 response while wiring up a new feature.

03

Storybook fixtures

Use the User template as the default prop data for a UserCard component story without writing factory code.

04

Frontend before backend

Build a UI against the Product template while the backend team finalizes the real schema, then swap in the live API later.

Frequently Asked Questions

Three: User (id, name, email, role, ISO timestamp), Product (id, name, price, category, in-stock boolean, tag array), and API Response (success boolean, data object, Unix timestamp). They cover the most common API shapes you'll encounter day-to-day.
Yes - the output is plain editable text. Paste into the textarea, add or remove fields, and copy the result. There's no schema enforcement, so you can mutate the shape freely. For schema-driven generation, look at JSON Schema Faker or Faker.js.
Real. createdAt uses new Date().toISOString() and timestamp uses Date.now(), both evaluated when you click the template button. Two clicks a minute apart will show different timestamps - which is what you usually want for fresh fixtures.
JSON has only one numeric type, parsed in JavaScript as a 64-bit IEEE 754 float. For display this is fine, but for monetary calculations you often want integer cents (2999 instead of 29.99) or a string ("29.99") to avoid floating-point rounding. Modify the template if your domain needs that.
When freshly generated, yes - JSON.stringify always emits valid JSON. After you edit it in the textarea, no guarantee. Run the result through the JSON Formatter to validate, or paste it into your runtime's JSON.parse to check.
Not directly from the buttons - each click emits a single object. Wrap the output in [] manually or use the Fake Data Generator for batched records. For richer per-field randomization at scale, install @faker-js/faker or json-schema-faker into your project.
No. The templates are static JavaScript objects defined in this page's source, and the JSON.stringify call runs in your browser. The generated output never leaves your tab unless you copy or paste it elsewhere.
Fake Data Generator produces person-shaped rows (name, email, address, phone, company) suitable for filling tables and lists. JSON Mock Generator emits API-shaped objects suitable for fixtures and contracts. Use Fake Data for batches of users; use this tool when you want a representative sample of an API response.
By design - this tool is intentionally minimal. For a 100-record dataset use the Fake Data Generator or load @faker-js/faker into your codebase. The mock generator is meant to be the fastest path to a single, paste-ready example.
Edit the source if you self-host, or copy the generated output and modify it inline. The templates are deliberately small (4-6 fields each) so customization is a quick edit rather than a config sweep. For programmatic templates, switch to JSON Schema Faker.

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