AI ER Diagram Generator From Text and Documents
Describe your application or upload a requirements document. iWeaver turns the information into an entity-relationship diagram draft with entities, attributes, keys, and relationship cardinalities—ready to discuss, check, and refine through chat.
From Business Requirements to a Database Model
An entity-relationship diagram, or ERD, shows the data a system stores and how records connect. It helps you discuss entities, attributes, and relationship rules before turning a design into database tables.
Start with the requirements you already have: a product brief, a written scenario, or notes about an application. iWeaver helps bring the data relationships into view so you can review the model with the people who understand the business rules.
How to Generate an ER Diagram With iWeaver
Describe the System or Add Your Files
Paste your requirements or upload a supported document or image. Include the records your system needs, their main attributes, and rules such as “each booking belongs to one customer.” Clearly identify anything that is still undecided.
Generate the Entities and Relationships
Ask for an ERD showing entity names, attributes, primary and foreign keys, and cardinalities. Specify whether you want a high-level view or a more detailed logical model, and request a list of assumptions where the input leaves gaps.
Review and Refine Through Chat
Compare the diagram with your requirements. Ask to add an entity, clarify an optional relationship, or introduce a junction table. Check the revised model before using it as the basis for implementation.
Build the Model From the Information You Have
Text and Document Inputs
Start with plain-language requirements, a PDF brief, a Word document, presentation notes, or a readable image. Keep the relevant source material in the conversation so you can ask how a design choice connects to a requirement.
Entities, Attributes, and Keys
Turn scattered descriptions into a model you can inspect. Review which objects need their own entities, which details belong as attributes, and how records should be identified and connected.
Cardinalities You Can Discuss
Make one-to-one, one-to-many, and many-to-many relationships explicit. Include whether a connection is required or optional, so the diagram reflects the rules rather than simply linking related names.
Revisions in Your Own Words
Describe the change you want, such as “a course can have several instructors” or “store the price agreed for each order item.” Continue refining the draft without rewriting the entire requirement.
Design Questions Before Implementation
Ask for a review of missing keys, repeated data, unclear relationships, or normalization concerns. Use the suggestions to identify questions for a developer or database reviewer; a generated review does not certify the design.
Decide What Your ERD Needs to Show
| Model element | What to include in your input |
|---|---|
| Entities | The records you need to store, such as Customer, Booking, or Product. |
| Attributes | The details stored for each record, including required and optional fields. |
| Primary keys | The identifier that uniquely distinguishes each record. |
| Foreign keys | How a record references another entity in the proposed relational model. |
| Cardinality | How many records can connect on each side of a relationship. |
| Optionality | Whether a record can exist without a related record. |
| Junction entities | Information needed to represent a many-to-many relationship. |
If a rule is missing, ask the AI to flag it for review. A visible assumption is easier to resolve than a relationship that looks settled but was never specified.
ER Diagrams for Planning, Learning, and Handoffs
Developers Planning an Application
Describe a booking service, membership system, or product catalog and generate a first data model. Review keys, record ownership, and relationships before translating the design into your chosen database and application framework.
Draft My Application Model
Product Managers Reviewing Requirements
Bring a product specification and see which entities and relationships the feature needs. Use the ERD to discuss missing rules with engineering, such as whether one account can belong to several organizations.
Map My Product Requirements
Business Analysts Clarifying Data Rules
Turn descriptions from a process document into a shared data model. Check that entity names and connections match the business vocabulary, then ask which assumptions need stakeholder confirmation.
Review My Data Relationships
Students Learning Database Design
Compare your own solution to a database exercise with an AI-generated draft. Ask why a junction entity is needed, how cardinality changes the model, or what a proposed key identifies. Use the explanation to improve your reasoning.
Explore an ERD ExerciseExample: Turn an Order System Into an ERD
Generate a logical ER diagram for an online store. Include Customer, Order, Product, and OrderItem. A customer can have zero or many orders. Each order belongs to exactly one customer and contains one or more order items. Each order item references one product and stores quantity and the unit price at purchase. Show primary keys, foreign keys, and relationship cardinalities. List any assumptions separately.
In this model, OrderItem connects an order with a product and stores details specific to that purchase. Keeping the purchase-time price there allows the model to distinguish an order's historical price from the product's current price.
A useful follow-up is:
Customers can save several delivery addresses. Add an Address entity, then explain how to preserve the delivery address used for a past order if a customer later edits a saved address. Flag any decisions that need a business rule.
Check the Diagram Before Building the Database
Use a few representative records to test the draft. Can the model represent a customer with no orders, an order containing several products, and the same product appearing in different orders? Confirm that each relationship, key, and required field matches your actual requirements.
An ERD helps communicate the design. Database-specific types, constraints, indexes, migrations, and performance still need their own implementation review.
AI ER Diagram Generator FAQ
Continue Your Design Workflow With iWeaver
An ERD explains the data model. Use related tools to map a process, understand broader connections, or work on an implementation draft after the model has been reviewed.
AI Flowchart Generator
Turn a process description into a flowchart of steps, decisions, and branches. Use it alongside your ERD to explain how a booking, approval, or order workflow uses the records in your model.
Map My Process →Relationship Chart Maker
Map connections between people, teams, projects, or concepts when you need a broader view than database tables. Describe the relationship labels and directions to make the chart easier to review.
Explore My Connections →AI Code Generator
Bring a reviewed model and clear implementation requirements to draft code for your next development step. Specify the language and framework, then inspect and test the generated code before using it.
Draft Implementation Code →Turn Your Requirements Into a Model You Can Review
Start with your application's records and rules. Generate an ER diagram, clarify the assumptions, and refine the relationships before moving into implementation.
Start My ER Diagram