DB Modeler AI

From Problem Description to Interactive SQL Playground in 7 AI-Powered Steps

DBModeler AI transforms plain English requirements into production-ready database schemas. Bridge the gap between concepts and code through an interactive, AI-guided journey-from initial idea to fully-normalized, visualized, and tested schema, all in one seamless web application.

Purpose and Benefits

Design, normalize, visualize, and test databases faster than ever. DBModeler AI combines expert guidance, visual diagramming, and live SQL testing so you control every step, with AI as your co-pilot.

AI-Driven Architecture: Move from app idea to comprehensive technical requirements in natural language.
Multi-Level Diagramming: Generate and edit PlantUML domain class diagrams and detailed ER diagrams automatically.
Stepwise Normalization: See your schema progress through 1NF, 2NF, and 3NF, with educational explanations and redundancy elimination.
Live SQL Playground: Test your schema instantly-no installation required-and run queries against realistic, AI-seeded sample data.
Full Control: Edit diagrams, SQL, and documentation in real time. Export to PDF or JSON for sharing or integration.

How It Works: Step-by-Step Guide

With DBModeler AI, your ideas become fully-operational databases in seven intuitive steps.

Step 1: Problem Input

Describe your application in plain English. The AI expands your concept into detailed technical requirements.

Step 2: Domain Class Diagram

Visualize high-level objects and their attributes in an editable PlantUML diagram.

Step 3: ER Diagram

Convert your domain model into a database-specific ER diagram, defining keys and relationships.

Step 4: Initial Schema Generation

Translate your ER diagram into PostgreSQL-compatible SQL DDL statements.

Step 5: Intelligent Normalization

Progressively optimize your schema from 1NF to 3NF, with AI-powered rationales for every change.

Step 6: Interactive Playground

Experiment with your schema in an in-browser SQL client, seeded with realistic AI-generated data.

Step 7: Final Report and Export

Export all diagrams, documentation, and SQL scripts as a polished PDF or JSON package.

Use Cases

Developers: Bootstrap and validate the database layer for side projects in minutes.
Students: Learn relational modeling and normalization interactively, with instant feedback.
Product Managers: Turn business requirements into concrete technical specs and ERDs for handoff.
System Architects: Rapidly prototype and document complex data relationships visually.

Tips & Best Practices

Iterate on requirements and diagrams to refine structure before generating your schema.
Use AI explanations in normalization steps as learning tools for best practice design.
Test your schema thoroughly with dummy data before exporting to production environments.

DB Modeler AI

Purpose and Benefits

How It Works: Step-by-Step Guide

Step 1: Problem Input

Step 2: Domain Class Diagram

Step 3: ER Diagram

Step 4: Initial Schema Generation

Step 5: Intelligent Normalization

Step 6: Interactive Playground

Step 7: Final Report and Export

Use Cases

Tips & Best Practices

Other Features

Enterprise Architecture

Project Management

Visual Modeling

Agile & Scrum

Business Modeling

User Experience Design

Visual Diagramming

Code Engineering

Team Collaboration

Analysis & Charting

Advanced Modeling Tools

Project Mgmt. Diagram

Turn every software project into a successful one.