✨ Comprehensive Toolkit

Everything You Need for Schema Management

From initial design to production deployment, SchemaGen provides a complete suite of tools to streamline your development workflow.

Core Feature

JSON Schema Generation

Transform natural language descriptions into fully compliant JSON Schema (Draft 7, 2019-09, 2020-12). Our AI understands complex requirements and generates schemas with proper validation rules, constraints, and documentation.

All Standard Types

string, number, integer, boolean, object, array, null

Rich Validation

Format validation (email, uri, date-time), pattern matching, min/max constraints

Complex Structures

Nested objects, arrays of objects, conditional schemas, oneOf/anyOf/allOf

{
  "type": "object",
  "title": "User",
  "description": "User account schema",
  "required": ["email", "username"],
  "properties": {
    "id": {
      "type": "string",
      "format": "uuid",
      "description": "Unique identifier"
    },
    "email": {
      "type": "string",
      "format": "email",
      "description": "User email address"
    },
    "username": {
      "type": "string",
      "minLength": 3,
      "maxLength": 20,
      "pattern": "^[a-zA-Z0-9_]+$"
    },
    "age": {
      "type": "integer",
      "minimum": 18,
      "maximum": 120
    },
    "roles": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": ["user", "admin", "moderator"]
      },
      "minItems": 1,
      "uniqueItems": true
    }
  }
}
-- Migration: 20260118_create_users_table
CREATE TABLE users (
  id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
  email VARCHAR(255) NOT NULL UNIQUE,
  username VARCHAR(20) NOT NULL,
  age INTEGER CHECK (age >= 18 AND age <= 120),
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
  updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

CREATE INDEX idx_users_email ON users(email);
CREATE INDEX idx_users_username ON users(username);

-- Trigger for updated_at
CREATE TRIGGER update_users_updated_at
  BEFORE UPDATE ON users
  FOR EACH ROW
  EXECUTE FUNCTION update_updated_at_column();
Core Feature

Database Migrations

Automatically generate production-ready database migrations for PostgreSQL, MySQL, SQLite, and more. Complete with indexes, constraints, triggers, and best practices built-in.

Multi-Database Support

PostgreSQL, MySQL, SQLite, SQL Server, Oracle

Smart Indexing

Automatically suggests optimal indexes based on schema structure

Relationship Mapping

Foreign keys, cascades, and referential integrity automatically configured

Rollback Plans

Every migration comes with a tested rollback strategy

Automatic Generation

Every migration script automatically generates a corresponding rollback script, ensuring you can safely revert changes if needed.

Data Preservation

Rollback plans are designed to preserve data integrity. Critical data is backed up before destructive operations.

Version Control

Track all schema changes with version control integration. See exactly what changed and when, with full audit trails.

Testing Made Easy

Sample Data Generator

Generate realistic test data that respects your schema constraints. Perfect for development, testing, and demos. All data is contextually relevant and passes validation.

Smart Generation

Understands field names and types. Generates appropriate data like real email addresses for email fields, realistic names for name fields, and valid dates for date fields.

Constraint Aware

Respects all validation rules: min/max values, string lengths, patterns, uniqueness constraints, and foreign key relationships.

Bulk Generation

Generate thousands of records with consistent, realistic data. Perfect for load testing and performance optimization.

// Generated sample data
[
  {
    "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "email": "sarah.johnson@example.com",
    "username": "sarah_j",
    "age": 28,
    "roles": ["user"],
    "created_at": "2026-01-15T10:30:00Z"
  },
  {
    "id": "b2c3d4e5-f6a7-8901-bcde-f12345678901",
    "email": "mike.chen@example.com",
    "username": "mike_chen",
    "age": 34,
    "roles": ["user", "moderator"],
    "created_at": "2026-01-16T14:22:00Z"
  },
  {
    "id": "c3d4e5f6-a7b8-9012-cdef-123456789012",
    "email": "admin@example.com",
    "username": "admin",
    "age": 42,
    "roles": ["user", "admin"],
    "created_at": "2026-01-10T08:00:00Z"
  }
]

CI/CD Integration

Integrate schema validation into your development pipeline

GitHub Actions

name: Schema Validation
on: [pull_request]

jobs:
  validate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Validate Schemas
        uses: schemagen/validate-action@v1
        with:
          api-key: ${{ secrets.SCHEMAGEN_KEY }}
          schemas: ./schemas/**/*.json
          check-breaking-changes: true

GitLab CI

schema_validation:
  stage: test
  image: schemagen/cli:latest
  script:
    - schemagen validate ./schemas
    - schemagen diff main HEAD
  only:
    - merge_requests
  variables:
    SCHEMAGEN_API_KEY: $API_KEY

Breaking Change Detection

Automatically detect breaking changes in schema modifications before they reach production. Get detailed reports on what changed and potential impact on existing systems.

✓ Backward Compatible ✗ Breaking Change ⚠ Requires Migration

Team Collaboration

Work together seamlessly on schema design and management

Shared Workspaces

Create team workspaces where everyone can access, edit, and collaborate on schemas in real-time.

Role-Based Access

Control who can view, edit, or approve schemas with granular permission settings.

Change History

Track every change with a complete audit trail. See who made changes, when, and why.

Comments & Reviews

Add comments to schemas, request reviews, and approve changes before deployment.

Schema Registry

Central repository for all your schemas. Search, browse, and discover existing schemas across projects.

API Integration

Full REST API for programmatic access. Integrate SchemaGen into your existing tools and workflows.

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