JSON Schema to Drizzle ORM Schema Converter
Instant in-browser JSON Schema to Drizzle ORM TypeScript generator supporting PostgreSQL, MySQL, and SQLite dialects with inverted nullability.
At a glance
JSON Schema to Drizzle ORM Schema Converter transforms JSON Schema models into type-safe Drizzle ORM schemas for PostgreSQL (pgTable), MySQL (mysqlTable), and SQLite (sqliteTable) with inverted nullability entirely in browser memory.
100% Client-Side JSON Schema to Drizzle ORM Converter
Zero Server UploadsTransform JSON Schema definitions into type-safe Drizzle ORM TypeScript schemas across PostgreSQL (pgTable), MySQL (mysqlTable), and SQLite (sqliteTable).
Conversion Error
Multi-Dialect Core Support
Toggle instantly between PostgreSQL (drizzle-orm/pg-core), MySQL (drizzle-orm/mysql-core), and SQLite (drizzle-orm/sqlite-core). The engine automatically updates import headers and dialect-specific column helpers.
Inverted Nullability Semantics
JSON Schema properties are optional by default, whereas Drizzle ORM columns are nullable by default. Fields defined in the JSON Schema "required": [...] array are explicitly chained with .notNull().
Primary Key Auto-Detection
Properties named id or flagged with primaryKey: true automatically receive optimal primary key decorators: serial().primaryKey() for PostgreSQL, int().autoincrement().primaryKey() for MySQL, and UUID defaults where applicable.
Why Use This JSON Schema to Drizzle ORM Schema Converter?
How to Use JSON Schema to Drizzle ORM Schema Converter
Input JSON Schema
Paste your JSON Schema code or upload a .json file into the editor.
Select Target Dialect
Choose PostgreSQL, MySQL, or SQLite to update column helpers and import statements.
Copy or Download
Copy the generated Drizzle TypeScript schema or download schema.ts immediately.
JSON Schema to Drizzle ORM Conversion example
Demonstrates automated generation of a PostgreSQL pgTable with serial primary key, .notNull() constraints, and .defaultNow() timestamp.
{
"title": "User",
"type": "object",
"properties": {
"id": { "type": "integer" },
"name": { "type": "string" },
"email": { "type": "string" },
"createdAt": { "type": "string", "format": "date-time" }
},
"required": ["id", "name", "email"]
}
import { integer, pgTable, serial, text, timestamp } from drizzle-orm/pg-core;
export const users = pgTable(users, {
id: serial(id).primaryKey(),
name: text(name).notNull(),
email: text(email).notNull(),
createdAt: timestamp(created_at, { withTimezone: true }).defaultNow(),
});
Technical Specifications & Engine Details
| Specification | Details |
|---|---|
| Supported Dialects | PostgreSQL (pgTable), MySQL (mysqlTable), SQLite (sqliteTable) |
| Supported Core Packages | drizzle-orm/pg-core, drizzle-orm/mysql-core, drizzle-orm/sqlite-core |
| Execution Mode | 100% Client-Side In-Browser (Zero server latency) |
| Nullability Mapping | Required array properties → .notNull(), omitted properties → nullable |
| Identity & Timestamps | serial(), autoincrement(), uuid().defaultRandom(), .defaultNow() |
100% Client-Side Privacy Guarantee
Your files remain strictly on your local device. Zero data is transmitted to external servers.
Frequently Asked Questions
How does the converter map JSON Schema required properties to Drizzle ORM?
Which Drizzle ORM dialects are supported?
How are primary keys detected and generated?
Does the converter support enum fields?
Methodology
Validates inverted nullability, primary key detection, column types, and imports without external dependencies or sponsored ranking.
Last updated .