SQL to PlantUML

How it works

1. Paste your SQL schema into the editor (PostgreSQL, MySQL, SQLite, SQL Server, Oracle…).
2. The diagram renders instantly so you can verify it.
3. Click Export → PlantUML and copy the @startuml block.
4. Paste it into any PlantUML renderer, Confluence, or your docs.

Example

This SQL:

CREATE TABLE users (
  id SERIAL PRIMARY KEY,
  email TEXT UNIQUE
);
CREATE TABLE posts (
  id SERIAL PRIMARY KEY,
  user_id INT REFERENCES users(id)
);

…exports as this PlantUML:

@startuml
entity users {
  * id : serial
  --
  email : text
}
entity posts {
  * id : serial
  --
  user_id : int
}
users ||--o{ posts
@enduml

Copy it from Export → PlantUML. Try it with your own →

Guide

The export produces a classic PlantUML entity diagram: each table becomes an entity block with a *-marked primary key and typed fields, and each foreign key becomes a crow's-foot connector (users ||--o{ posts). It's the notation your Confluence, XWiki, AsciiDoc or Doxygen setup already renders — no new toolchain to adopt.

Where people take the output:

• Confluence pages with the PlantUML macro — paste, save, done.
• READMEs rendered through plantuml GitHub Actions or pre-commit renderers.
• VS Code with any PlantUML preview extension for a local render loop.

The difference from generating PlantUML by hand or with a script: the live diagram here verifies the relationships before you commit the artifact. A wrong join shows up as a wrong crow's-foot immediately. And if PlantUML turns out to be the wrong target — your docs move to Markdown, say — the same parse exports Mermaid and DBML too. One paste, three notations, all client-side.

Why use it

• Private: everything runs in your browser — nothing is uploaded or stored on a server.
• Docs-ready PlantUML for Confluence, wikis and READMEs.
• Preview first — see the diagram before exporting.
• Free & open source — no account, no sign-up.

FAQ

How do I convert SQL to PlantUML?

Paste your CREATE TABLE statements, then click Export → PlantUML and copy the @startuml block. Foreign keys become relationship connectors.

Is my schema uploaded anywhere?

No. Everything runs locally in your browser — your schema is never uploaded to or stored on any server.

Is it free?

Yes. It is completely free and open source, with no account or sign-up required.

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