Live SVG preview with
Live SVG preview with 800 ms debounce — no manual refresh needed
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Write PlantUML diagrams and preview them as SVG — sequence, class, activity, and more.
PlantUML Renderer lets you write and preview PlantUML diagrams in real time, with the SVG rendered via the official PlantUML online server. Choose from six built-in templates — sequence, class, activity, state, use case, and deployment — or write your own diagram from scratch. Changes to the source are debounced by 800 ms and trigger an automatic preview update, so the diagram stays in sync as you type. You can download the SVG for use in documentation or presentations, or copy the encoded PlantUML server URL to embed in wikis, GitHub README files, or email. The plantuml-encoder library runs locally to encode the source; the rendering itself is performed by plantuml.com. No sensitive data should be included in diagrams rendered this way.
Live SVG preview with 800 ms debounce — no manual refresh needed
Six built-in templates covering the most common UML diagram types
Download SVG for use in documentation, slides, or Confluence pages
Copy a shareable encoded URL embeddable in GitHub READMEs and wikis
Pure JS encoder runs locally — only the render step calls the server
Live SVG preview with 800 ms debounce — see your diagram render as you type without manual refresh
Input: @startuml Alice -> Bob: Authentication Request Bob --> Alice: Authentication Response Alice -> Bob: Another auth Request Alice <-- Bob: Another auth Response @enduml
Output: Renders an SVG with two lifelines (Alice, Bob) and four arrows showing a basic auth handshake.
Input: @startuml class Animal { +name: String +makeSound(): void } class Dog extends Animal { +bark(): void } class Cat extends Animal { +purr(): void } @enduml
Output: Renders a class diagram with Animal as parent and Dog/Cat as subclasses, each with their own methods listed.
Input: @startuml [*] --> Idle Idle --> Running : start Running --> Paused : pause Paused --> Running : resume Running --> [*] : stop @enduml
Output: Renders a state machine with Idle, Running, and Paused states and transitions labelled start/pause/resume/stop.