SCHEMA FIELDS
Ready to generate
Define your schema and click Generate JSON// generate realistic fake json data in one click
Generate realistic fake JSON data for testing and prototyping. Define a schema with types like name, email, date, number, and download instantly.
Ready to generate
Define your schema and click Generate JSONAdd fields with a key name and type (e.g. "email", "full_name"). Use presets to start fast.
Enter how many records you need — from 1 to 1000.
Click Generate, then copy the JSON or download it as a .json file.
Lorem JSON is a browser-based fake data generator that produces realistic JSON arrays based on a schema you define. Think of it like Lorem Ipsum — but for structured data. Instead of placeholder text, you get proper names, emails, dates, and prices that look real without being real.
Lorem JSON is a free online tool that generates fake but realistic-looking JSON data based on a schema you define. It's inspired by Lorem Ipsum text placeholders but for structured JSON data used in software development and testing.
You can generate between 1 and 1,000 records per request. For very large datasets, you can run multiple generations and merge them, or consider a server-side script for millions of records.
The enum type lets you specify a fixed set of possible values. After selecting enum as the type, enter your comma-separated values in the options field (e.g. active,inactive,pending) and the generator will randomly pick one for each record.
No. All generated data is entirely fictional — names, emails, phone numbers, and URLs are randomly constructed and should only be used for testing, prototyping, demos, or development purposes.
No. All processing happens in your browser and on a stateless server request. Nothing is logged or stored. Your schema and generated data remain entirely private.
int generates a whole number within your specified min/max range. float generates a decimal number (rounded to 2 places). Use price for currency-style decimals like 19.99.
The current version generates flat JSON objects in an array. Nested object support (e.g., an address sub-object) is planned for a future version. For now, you can use multiple fields to simulate nesting manually.
No. Emails are randomly constructed by combining fake names with common domain names. They follow valid email format syntax but are not real, active addresses. Never send emails to generated addresses.
A Lorem JSON generator is a developer tool that produces realistic-looking but entirely fictional JSON data based on a schema you define. Just as Lorem Ipsum text fills design layouts with placeholder copy, Lorem JSON fills your applications, databases, and API mocks with placeholder structured data — properly typed, properly formatted, and ready to use.
Whether you're building a new feature and need realistic user records to display, seeding a development database, or writing unit tests that require specific data shapes, Lorem JSON saves hours of manual data creation. Instead of crafting test records by hand or writing custom scripts, you define your schema once and generate as many records as you need.
Real data is often unavailable during early development. Production databases can't be accessed from local environments for privacy and security reasons. Newly created services have no data at all. And writing fixtures manually is tedious and error-prone. Fake data generators solve all of these problems.
Good fake data also surfaces bugs that overly simple hardcoded test data misses. A full_name field containing "Sophia Rodriguez" behaves differently in a UI than "A" does. A price of 9.99 renders differently than 1000000.00. Realistic fake data means realistic testing.
Lorem JSON supports over 20 field types organized into logical categories:
id (sequential-style integer), uuid (RFC 4122 v4 format), and username (adjective + noun + number combination).full_name, first_name, last_name, email, phone, age, avatar (real placeholder image URL), and job_title.int (configurable min/max), float (decimal, configurable range), price (currency-style like 14.99), and boolean (true/false).date (ISO 8601 date string), datetime (full ISO timestamp with UTC offset), and timestamp (Unix epoch integer).url (fake but syntactically valid URLs), image_url (real picsum.photos placeholder images), and color_hex (random hex color codes).city, country, and company.lorem (placeholder Latin text, configurable word count) and enum (random selection from your custom value list).Three preset schemas are included for the most common data shapes:
After loading a preset, you can freely add, remove, or modify fields to match your exact needs.
Once generation is complete, two export options are available. The Copy button copies the full JSON string to your clipboard — ideal for pasting directly into code editors, API testing tools like Postman or Insomnia, or browser developer consoles. The Download button saves the output as a .json file that you can commit to your repository, import into database seeding scripts, or share with teammates.
Several mock data tools exist — Mockaroo, Faker.js, JSON Generator, and others. Lorem JSON is designed to be fast, free, and require zero setup. There's no account to create, no library to install, and no configuration file to write. Open the page, define your schema with a few clicks, and download your data. For quick prototyping sessions and one-off test datasets, this simplicity is a major advantage.
For more advanced use cases — extremely large datasets, complex nested schemas, or integration into automated pipelines — a library like Faker.js (JavaScript) or Faker (Python/PHP) installed locally will give more flexibility. Lorem JSON is the right tool for the fast, visual, browser-based workflow.
A few habits make fake data more useful in practice. First, match field names exactly to what your codebase expects — a schema with firstName won't help much if your components expect first_name. Second, use the enum type for any field that has a constrained set of values in production — status fields, category fields, role fields. This ensures your UI handles all real-world states. Third, generate at least 50–100 records when testing list views or pagination — edge cases only appear with sufficient data volume. Finally, keep a copy of schemas you use frequently and load them as starting points in future sessions.