SQL to Dart

Drag and drop your SQL file here

or

SQL DDL Input

Model Configuration

Custom Imports (optional)

Use TypeConverter for safe type conversion

Import Path

Generation Options

copyWith()fromJson()toJson()

Accelerate Flutter & Dart Development with SQL to Model Conversion

Building robust Flutter applications requires efficient data modeling. Manually mapping database schemas to Dart classes is not only tedious but also a common source of bugs. Our SQL to Dart Model Converter automates this process, transforming MySQL CREATE TABLE statements into production-ready Dart classes in seconds.

This tool is specifically architected for developers using json_serializable, freezed, or standard factory-based patterns. It generates clean, semantic code that follows Flutter's best practices for immutability and JSON serialization.

Technical Implementation: How SQL Mapping Works

Our converter doesn't just do string replacement; it performs a deep parse of the SQL DDL (Data Definition Language) to ensure type safety and correctness. Here is how we handle typical database-to-application mapping:

Intelligent Type Mapping: We automatically map MySQL VARCHAR, TEXT, and CHAR to Dart String. Numeric types like INT and BIGINT become int, while DECIMAL and FLOAT become double.
Boolean Logic: MySQL often represents booleans as TINYINT(1). Our tool detects this pattern and generates Dart bool fields to maintain semantic clarity in your business logic.
Null Safety (NNBD): Modern Dart requires 100% null safety. The converter respects NOT NULL constraints in your SQL. If a field is nullable in the database, it becomes a nullable type (e.g., String?) in your Dart class.
JSON Meta-Data: We use @JsonKey(name: 'original_column_name') to ensure that your Dart variables can follow camelCase conventions while correctly mapping to snake_case database headers.

Why Use a Dedicated TypeConverter?

One of the most powerful features of this tool is the optional TypeConverter utility. Database drivers and JSON parsers often return inconsistent types (e.g., a "1" instead of a "true", or a "100.0" as an "int").

By enabling the TypeConverter, your generated fromJson factory will include defensive parsing logic. This ensures that your Flutter app remains stable even if the API or local SQLite database returns a slightly different format than expected. This "fail-safe" approach is essential for production-grade mobile applications.

Feature Highlight: Beyond Basic Classes

Modern Dart development relies on utility methods for state management and data persistence. Our tool allows you to toggle these high-value features:

Immutable State (copyWith)

Essential for providers like Bloc, Riverpod, or Redux. Update specific fields without mutating the original object instance.

Serialization (toJson)

Perfect for sending data back to a REST API or saving class instances to a local NoSQL store like Hive or Shared Preferences.

Security and Data Privacy by Design

Your database schema reveals the core architecture of your application. To ensure maximum security, this tool is 100% client-side.

Unlike other online converters that transmit your SQL code to their servers for processing, devtoolspack executes the entire parsing and generation engine within your browser's local sandbox. Your intellectual property never leaves your machine. This makes it safe to use even with sensitive enterprise-grade schemas or government-regulated data structures.

How to Convert SQL DDL to Dart Model Classes

Input SQL: Paste your MySQL CREATE TABLE DDL into the editor or upload an SQL file.
Configure Settings: Choose whether to generate copyWith, fromJson, or toJson methods, and toggle TypeConverter usage.
Generate Models: Click 'Generate Dart Classes' to instantly create strongly-typed model structures.
Download Result: Download individual .dart files or grab everything as a ZIP archive for your Flutter project.

Frequently Asked Questions

Which SQL dialect does SQL to Dart support?

It parses MySQL CREATE TABLE statements. Most standard DDL from MariaDB and SQLite also works as long as column definitions use common types such as INT, VARCHAR, TEXT, DECIMAL, DATETIME and TINYINT(1).

How are SQL types mapped to Dart types?

VARCHAR, CHAR and TEXT become String; INT and BIGINT become int; DECIMAL, FLOAT and DOUBLE become double; DATETIME, TIMESTAMP, DATE and TIME become DateTime; and TINYINT(1) or BOOLEAN become bool.

Are nullable columns handled?

Yes. Columns declared NOT NULL become non-nullable Dart fields, and all other columns become nullable types such as String? so the generated models are null-safe.

Does the generated code work with json_serializable or freezed?

The output uses plain factory fromJson and toJson methods, so it needs no code generation, and the class structure is compatible with json_serializable or freezed if you add their annotations.