SQL → C# Entity Generator

Convert SQL CREATE TABLE statements into C# classes for Entity Framework Core.

Local ProcessingLocal

SQL Dialect

EF Core Attributes ([Key], [Required], etc.)Nullable reference types (C# 8+)Use record instead of class (C# 9+)Generate DbContext with DbSet<T>

Input SQL (CREATE TABLE)

Generated C# Classes

using System;
using System.Collections.Generic;
using System.ComponentModel.DataAnnotations;
using System.ComponentModel.DataAnnotations.Schema;

namespace App.Models
{
    [Table("Users")]
    public class Users
    {
        public int? Id { get; set; }
    }

}

Why use an SQL to C# generator for Entity Framework?

Transactional parsing accelerates designers' conversion of boring scripts into POCO entities. We transform your model into fast-access .NET classes, integrating DataAnnotations instantly.

Shielding your relational database architecture

Revealing the topology of your MySQL or Microsoft T-SQL entities could make your clients vulnerable. Property extraction and nullable types occur 100% isolated from the network.

What this tool does

This page helps you transform SQL table definitions into C# classes so schema review, backend scaffolding and internal prototypes move faster without hand-writing every property.

Parses SQL CREATE TABLE statements and generates corresponding C# class definitions with property names and types mapped from the column definitions.
Supports common SQL column types and maps them to their closest C# equivalents including nullable value types for columns that allow NULL.
Speeds up backend scaffolding by eliminating the repetitive work of translating an existing schema into a starting point for Entity Framework or manual data models.

How to use it

1
Paste the SQL CREATE TABLE statement into the input area.
2
Click Generate to produce the corresponding C# class.
3
Review the generated properties and adjust naming conventions or types as needed for your project.
4
Copy the class into your codebase as a starting point for your entity, DTO or data model.

Example

A developer has an existing products table in a legacy database and generates a C# entity class to start building a new API layer without hand-writing every property.

CREATE TABLE products (id INT PRIMARY KEY, name NVARCHAR(200) NOT NULL, price DECIMAL(10,2), active BIT DEFAULT 1)

public class Products { public int Id { get; set; } public string Name { get; set; } public decimal? Price { get; set; } public bool Active { get; set; } }

Use cases

Generating starter C# entities from existing SQL tables.
Speeding up backend prototypes and internal CRUD tooling.
Reviewing how a table structure maps into application models.

Common mistakes

Treating the output as production-ready code

Generated code is a starting point. You still need to add data annotations, navigation properties, validation logic and naming adjustments for your specific project.

Assuming type mappings are always perfect

Some SQL types map ambiguously to C# types. Review columns with custom types, large integers and money/decimal fields carefully.

Ignoring nullable annotations

Columns that allow NULL should generally use nullable C# types. Verify nullable mappings match your domain requirements before using the entity.

FAQ

Does this support Entity Framework Core attributes?

The base output gives you plain C# properties. Adding EF Core data annotations or Fluent API configuration is a manual step after generation.

Can I use this with SQL Server and PostgreSQL schemas?

Yes. It handles standard CREATE TABLE syntax. Dialect-specific types may need manual adjustment after generation.

Does this upload my schema?

No. Parsing and generation happen locally in the browser.

What happens with composite primary keys?

The generator focuses on column definitions. Composite keys and foreign key relationships require manual addition to the generated class.

Can I generate multiple classes from multiple CREATE TABLE statements?

Process one table at a time for the cleanest output, or paste multiple statements if the tool supports batch input.

Privacy and security

SQL schema input stays in the browser during conversion.
No CREATE TABLE statement is uploaded to a third-party service.
That is useful when your schema contains internal naming or domain details.

Related tools

Related tools for the next step in the same workflow:

SQL Formatter & Beautifier JSON Formatter & Validator Diff Checker

Next step

Convert the schema locally, then format or compare the result if the data-model workflow continues.