From initial design to production deployment, SchemaGen provides a complete suite of tools to streamline your development workflow.
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.
string, number, integer, boolean, object, array, null
Format validation (email, uri, date-time), pattern matching, min/max constraints
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();
Automatically generate production-ready database migrations for PostgreSQL, MySQL, SQLite, and more. Complete with indexes, constraints, triggers, and best practices built-in.
PostgreSQL, MySQL, SQLite, SQL Server, Oracle
Automatically suggests optimal indexes based on schema structure
Foreign keys, cascades, and referential integrity automatically configured
Every migration comes with a tested rollback strategy
Every migration script automatically generates a corresponding rollback script, ensuring you can safely revert changes if needed.
Rollback plans are designed to preserve data integrity. Critical data is backed up before destructive operations.
Track all schema changes with version control integration. See exactly what changed and when, with full audit trails.
Generate realistic test data that respects your schema constraints. Perfect for development, testing, and demos. All data is contextually relevant and passes validation.
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.
Respects all validation rules: min/max values, string lengths, patterns, uniqueness constraints, and foreign key relationships.
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"
}
]
Integrate schema validation into your development pipeline
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
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
Automatically detect breaking changes in schema modifications before they reach production. Get detailed reports on what changed and potential impact on existing systems.
Work together seamlessly on schema design and management
Create team workspaces where everyone can access, edit, and collaborate on schemas in real-time.
Control who can view, edit, or approve schemas with granular permission settings.
Track every change with a complete audit trail. See who made changes, when, and why.
Add comments to schemas, request reviews, and approve changes before deployment.
Central repository for all your schemas. Search, browse, and discover existing schemas across projects.
Full REST API for programmatic access. Integrate SchemaGen into your existing tools and workflows.
Join thousands of developers who are building better software with SchemaGen.