database-schema-designer

Database schema generation from natural language requirements translates text into structured relational schemas and outputs migration files for Drizzle, Prisma, TypeORM, and Alembic. It also creates TypeScript interfaces, Python dataclasses, and Pydantic models automatically.

Schema generation supports multi-tenancy, soft deletion, audit trails, and versioning. It creates Row-Level Security (RLS) policies alongside your relational database schema to secure multi-tenant application data directly in PostgreSQL.

Designing a PostgreSQL schema with soft delete and audit trails is handled by specifying these advanced features in your natural language requirements. The generator then structures the relational schema and outputs the corresponding ORM migration files.

TypeScript interfaces and Python Pydantic models are generated simultaneously from the designed relational database schema. It also produces Python dataclasses and seed data to ensure your application types match your database structure.

Creating Drizzle ORM migrations for a SaaS application involves defining your multi-tenancy and audit logging needs in natural language. The generator designs the schema and outputs the specific migration files required by Drizzle.