⚡ 🔷 SQL to TypeScript Converter
FULL-STACK ORM SUITE • STRICT TYPE SYNTHESIS ENGINE

🔷 SQL to TypeScript & Prisma Converter

Transform SQL CREATE TABLE statements into strongly typed TypeScript interfaces, Prisma ORM models, Drizzle schemas, and Zod validation objects instantly in your browser.


          

          
          
          
        

      

      
    
        


        
        

          
          

            

              🛡️ Architectural Overview: Relational DDL to Strongly Typed Ecosystems
            

            

              Modern full-stack TypeScript engineering relies heavily on Object-Relational Mapping (ORM) frameworks and runtime validation schemas such as Prisma, Drizzle ORM, and Zod. Maintaining type parity between PostgreSQL, MySQL, or SQLite database migrations and application TypeScript contracts frequently introduces subtle runtime bugs when schema drifts occur. WebDevWorker's SQL to TypeScript & ORM Schema Converter parses ANSI and PostgreSQL SQL Data Definition Language (DDL) statements client-side, mapping relational types into strictly typed TypeScript interfaces, idiomatic Prisma model definitions, type-safe Drizzle schemas, and Zod validator objects simultaneously.
            

          


          
          

            

              📐 Formal Type-Mapping Algebraic Specification
            

            

Relational Type Homomorphism:
T_{SQL} → T_{TS} ∩ T_{Prisma} ∩ T_{Drizzle}

Type Mappings:
VARCHAR(n) | TEXT | UUID → string | String | text()
INT | INTEGER | SERIAL → number | Int | integer() / serial()
BIGINT → number | BigInt | bigint()
BOOLEAN → boolean | Boolean | boolean()
JSON | JSONB → Record | Json | json()
TIMESTAMP | DATE → Date | DateTime | timestamp()

Nullability Mapping:
Nullable(col) = NOT NULL ∉ Constraints(col) ? T ∪ {null, undefined} : T
            

          


          
          

            

              💻 Production Full-Stack Handler (Next.js App Router & Zod)
            

            
// API Route Handler validating request against generated Zod schema
import { NextRequest, NextResponse } from 'next/server';
import { UsersSchema } from '@/schemas/users';
import { db } from '@/db/drizzle';
import { users } from '@/db/schema';

export async function POST(req: NextRequest) {
  try {
    const json = await req.json();
    const validatedData = UsersSchema.parse(json);

    const [newUser] = await db.insert(users).values({
      full_name: validatedData.full_name,
      email: validatedData.email,
      is_verified: validatedData.is_verified ?? false,
    }).returning();

    return NextResponse.json({ success: true, user: newUser });
  } catch (error) {
    return NextResponse.json({ error: 'Invalid schema payload' }, { status: 400 });
  }
}

          


          
          

            

              📋 Step-by-Step SQL Migration & Type Generation Guide
            

            
    
              
    
  1. 
      Step 1: Export your existing CREATE TABLE DDL from psql, MySQL workbench, or migration files.
    
    2. 
  
    
  2. 
      Step 2: Paste the raw SQL statement into the input textarea.
    
    3. 
  
    
  3. 
      Step 3: The parser automatically derives table names, column constraints, nullability, and primary keys.
    
    4. 
  
    
  4. 
      Step 4: Switch between TypeScript, Prisma, Drizzle, and Zod tabs to review the generated code.
    
    5. 
  
    
  5. 
      Step 5: Copy the target schema and paste it directly into your backend repository with zero manual typing.
    
    6. 
  
            

          


          
          

            

              ❓ Frequently Asked Questions (FAQ)
            

            

              
    

      

        
          Which SQL dialects are supported by this converter?
        
        

          The parser supports ANSI SQL, PostgreSQL, MySQL, and SQLite CREATE TABLE syntax, including SERIAL, JSONB, and TIMESTAMP WITH TIME ZONE.
        

      

    

  
    

      

        
          How does the parser determine primary keys?
        
        

          Primary keys are identified either via inline PRIMARY KEY column declarations or composite PRIMARY KEY (col1, col2) constraints.
        

      

    

  
    

      

        
          Does this tool support Drizzle ORM PostgreSQL and SQLite?
        
        

          Yes. The default output generates idiomatic Drizzle pg-core definitions which can readily be adapted for sqlite-core or mysql-core.
        

      

    

  
    

      

        
          How are nullable columns handled in TypeScript and Zod?
        
        

          Columns without NOT NULL constraints automatically receive optional ? markers and union types (.nullable().optional()) in Zod schemas.
        

      

    

  
    

      

        
          Is my proprietary database schema sent to any remote API?
        
        

          Never. All lexical parsing and code generation execute 100% locally within your browser client.
        

      

    

  
    

      

        
          Can I convert multiple tables simultaneously?
        
        

          Yes. Paste sequential CREATE TABLE statements and each table will be systematically transformed.
        

      

    

  
            

          


          
          

            

              ⚠️ Production Best Practices & Security Anti-Patterns
            

            
    
              
    
  • 1. Always validate incoming HTTP request payloads with generated Zod schemas before passing data to ORM insertion queries.
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  • 2. Use specific column constraints (NOT NULL, UNIQUE, DEFAULT) in your SQL DDL to generate strictly typed interfaces.
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  • 3. Commit generated interfaces to source control alongside migration files to enforce strict version control.
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