Mock Data & JSON Generator
Define schema fields and generate realistic JSON mock datasets for testing APIs, building demos, and validating UI data contracts.
Define field schema rules and generate realistic mock JSON records instantly in your browser. Ideal for API prototyping, QA fixtures, and demo datasets.
Min 1, max 5000
Supported types: name, email, number, integer, boolean, date, uuid, url, phone, string.
Schema-Driven Generation
Define fields with simple `field:type` rules and generate structured JSON arrays in seconds for testing APIs, frontends, and integrations.
Private In-Browser Processing
All generation happens locally in your browser, keeping sample datasets and schema definitions private with zero server upload.
Rich Built-In Field Types
Generate realistic names, emails, UUIDs, URLs, dates, numbers, booleans, phone values, and generic strings from one reusable field model.
Free Unlimited Usage
Generate up to 5000 rows per run with no signup, no credit system, and no hidden limits. Copy or download your JSON output immediately.
API Contract Prototyping
Quickly create realistic payload samples to test API endpoints, client validation, and response rendering during early backend design.
Frontend State Testing
Generate predictable JSON arrays for table views, dashboards, card grids, and search filters without waiting for live services.
QA Fixture Seeding
Produce sample datasets for regression testing, edge-case validation, and integration smoke tests with repeatable schema definitions.
Demo Data Preparation
Build clean, realistic demo JSON for product walkthroughs, stakeholder previews, and onboarding tutorials without exposing production records.
Contract-First Development
Draft field schemas up front and generate mock payloads that keep API specs, docs, and frontend assumptions aligned.
Load and Pagination Simulation
Create larger datasets to simulate pagination behavior, sorting performance, and UI responsiveness in client applications.
Mock Data & JSON Generator helps teams produce structured test payloads without manual editing. Define fields once with a simple schema syntax and generate realistic datasets for prototyping, QA, and integration workflows. The tool is optimized for speed, repeatability, and privacy.
Schema Format
Each line follows `fieldName:type`. Supported types include `name`, `email`, `number`, `integer`, `boolean`, `date`, `uuid`, `url`, `phone`, and `string`. This keeps schema creation simple while still covering the most common data contracts used in API and UI work.
Output Controls
You can choose row count and JSON formatting mode. Pretty-print output is ideal for human inspection and documentation, while compact output works well for payload transfer and performance-oriented tests.
Typical Workflow
Define schema, set row count, generate data, then copy or download the JSON file. Teams can version schema presets in docs or repos and quickly regenerate fresh fixtures whenever field contracts evolve.
Privacy
All generation runs locally in your browser. No schema definitions or generated JSON rows are uploaded to external servers, making the tool safe for internal and pre-release development workflows.
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Use one field per line in `fieldName:type` format. Example: `email:email` or `isActive:boolean`. This simple schema model keeps setup fast while still supporting realistic output structures for testing.
Supported types are name, email, number, integer, boolean, date, uuid, url, phone, and string. Each type generates plausible values suitable for prototyping and QA datasets.
You can generate between 1 and 5000 rows per run. This range is practical for frontend pagination tests, API payload checks, and medium-size fixture generation.
Yes. The output panel includes download support so you can save mock payloads as `.json` files for local tooling, test suites, or demo environments.
Yes. Data generation happens fully in-browser. No schema lines or generated records are sent to remote servers, so you keep full control of your test data.
Generated data is intended for testing, demos, and development fixtures. It is not intended as production truth data, but it is very useful for validating API and UI contracts.
No. The tool is free to use and does not require account creation, making it easy to use in quick debugging and prototype workflows.