mockr provides a comprehensive suite of tools to generate realistic, context-aware mock data for your applications and testing environments.
Our intuitive platform makes creating realistic mock data effortless.
Drag-and-drop interface to create data models, establish relationships, and visualize your data hierarchy without writing code.
Describe what you need in plain English, and our AI will suggest appropriate data models, field types, and realistic values.
Define complex relationships between entities with visual connectors. Our system ensures referential integrity across your generated data.
12345678910111213141516171819202122232425262728// Generated code from your visual model { "generated_data": { "users": [ { "id": "u-5f3a12", "name": "Alex Rivera", "email": "alex.rivera@example.com", "role": "admin", "department": "Engineering", "posts": [ { "id": "p-7e921d", "title": "Optimizing Database Performance", "status": "published", "comments": [{"id": "c-3d45f1", "author": "Jamie Chen"}] } ] }, { "id": "u-8d21e7", "name": "Morgan Taylor", "role": "user", "department": "Marketing" } ] } }
Explore the full range of mockr's powerful features designed for modern development workflows.
Import existing database schemas, JSON structures, or TypeScript interfaces to instantly generate compatible mock data.
Create complex data hierarchies with nested objects, arrays, and relationships that maintain referential integrity.
Create and save your own data templates for reuse across projects, with support for custom generation rules.
Seamlessly integrate with your development workflow using our RESTful API or CLI tools for automated data generation.
See your generated data in real-time as you build your models, with instant feedback on changes to your schema.
Export your generated data in multiple formats including JSON, CSV, SQL, and TypeScript interfaces for maximum flexibility.
Supercharge your development workflow with mockr today.