DBModeler AI guides you from a plain English description to a fully normalized, 3NF database schema through a transparent, AI-assisted workflow. Design, normalize, and play with your data instantly.
DB Modeler AI is an AI-powered database modeling tool designed to bridge the gap between abstract business requirements and production-ready SQL code. It automates the complex, iterative, and error-prone process of database design, guiding you from an idea to a fully normalized, tested schema in a seamless, 7-step journey.
The tool’s core purpose is to accelerate development, improve data quality, and democratize database design by leveraging AI to handle the heavy lifting while giving the user precise control over the final output through text-based diagramming.
Automated Visual Diagrams
Generate and customize clear, professional domain and ER diagrams that reflect your project’s structure.
Step-by-Step Normalization Guidance
Improve your schema quality with explanations that walk you through the normalization process from 1NF to 3NF.
Live In-Browser SQL Playground
DB Modeler AI guides you through the complete database design lifecycle, transforming a simple description into a fully normalized, testable SQL schema in minutes.
1. ✍️ Problem Input (Conceptual Input)
The process begins by clearly establishing the project’s scope.
Action: Enter a Project Name and a detailed Problem Description (e.g., “A system for managing university courses, students, and enrollments”). You can write it yourself or let the AI instantly generate a description based on a brief prompt.
Goal: Provide the necessary context for the AI to understand the core entities, rules, and relationships of your business domain.
2. 🧩 Domain Model (Conceptual Modeling)
The AI translates your text into a visual, high-level blueprint.
Action: The AI generates a Domain Model Diagram (conceptual model) rendered via PlantUML syntax.
Refinement: You retain full control. The PlantUML syntax is fully editable, allowing you to refine class names, attributes, and relationships using simple text commands.
3. 🗺️ ER Diagram (Logical Modeling)
This step maps the conceptual model to a database structure.
Action: The tool converts the refined Domain Model into an Entity-Relationship Diagram (ERD), automatically identifying and defining essential database components like Primary Keys (PKs), Foreign Keys (FKs), and cardinality (1:1, 1:N, N:M).
Refinement: Just like before, you can edit the ERD’s PlantUML syntax to enforce specific key structures or adjust relationships to perfectly match your database strategy.
4. 💾 Initial Schema (Physical Code Generation)
The visual design is converted into executable code.
Action: The tool generates the complete, ready-to-use PostgreSQL SQL Data Definition Language (DDL), including all Create Table statements, columns, and constraints, derived directly from the ER Diagram.
Goal: Provide a functional, deployable schema based on your visual design.
5. ✨ Normalization (Schema Optimization)
The AI automatically optimizes your schema for integrity and efficiency.
Action: The tool iteratively applies the rules of normalization, progressing the schema from its initial state to First (1NF), Second (2NF), and finally, Third Normal Form (3NF).
Goal: Eliminate data redundancy, prevent update anomalies, and ensure data integrity. You can inspect the schema at each stage to understand the optimization process. The AI also generates sample data (INSERTs) and DML scripts for the next step.
6. 🧪 Playground (Validation & Testing)
Validate your design in a live, controlled environment.
Action: Launch a live, in-browser database instance based on your chosen schema (Initial, 1NF, 2NF, or 3NF).
Testing: Use the AI to generate sample records quickly (e.g., “Add 10 records”) or manually insert/filter data. Run custom SQL queries to test functionality and performance against realistic data.
Goal: Verify that your final schema is robust and performs as expected before you deploy it to a production environment.
7. 📄 Final Report (Documentation)
The entire design process is summarized and ready for hand-off.
Action: The tool compiles a comprehensive Final Design Report in Markdown format, summarizing all key artifacts: the problem, the diagrams, the final 3NF schema, and sample DML scripts.
Refinement: You can directly edit the Markdown of the report to add specific project notes, implementation details, or custom documentation for your team.
Goal: Create a professional, maintainable, and editable document for project archiving and developer hand-off.
Developers: Rapidly design and validate reliable database schemas for projects of any scale.
Students: Learn and master database design concepts with hands-on interactive tools.
Product Managers: Simplify translating business needs into clear, technical data models.
System Architects: Quickly prototype and visualize complex data relationships for optimal system design.
Stop wasting hours on manual design, diagramming tools, and tedious normalization checks. DB Modeler AI seamlessly integrates AI speed with human oversight and validation, ensuring your database is perfect before it hits production.
From Idea to 3NF SQL in Minutes, Not Days
Traditional database design is slow and iterative. Our 7-step process eliminates the friction:
Instant Generation: Skip the blank page. Our AI instantly translates your problem description into a Domain Model and ER Diagram.
True Automation: The tool handles the most complex, error-prone step: Normalization. We guarantee a clean, optimized 3NF schema without manual effort.
Unmatched Control via Text-Based Editing
We give you the power to rapidly refine the design without clumsy visual tools.
PlantUML Power: Both the Domain Model and ER Diagram are created using editable PlantUML syntax. If you need to change a relationship from 1:N to N:M, you just change one line of text—it’s the fastest way to enforce architectural standards.
Version Control Ready: Text-based diagrams are easy to commit, review, and merge, making them perfect for modern CI/CD and Git-based workflows.
Validate Your Schema Before Deployment
Don’t deploy a schema based only on a drawing. Test it with real data in a live environment.
Interactive Playground: Launch a live, in-browser database to execute DDL and DML. You can run custom queries and check performance against your design choices.
AI-Driven Testing: Use the AI to generate batches of sample data and INSERT scripts, allowing you to test constraints and integrity checks under realistic conditions immediately.
Professional, Complete Documentation
Deliver a final product that is easy to understand, maintain, and hand-off.
Comprehensive Final Report: Get a single, organized document summarizing the entire project—from the initial problem statement to the final 3NF SQL.
Editable Markdown: The report is provided in Markdown, letting you easily customize and integrate it with internal documentation systems like Wikis, Confluence, or README files.
