DiagramPreview
AI betaAIDeepSeekLocal fallbackPlantUML

AI PlantUML Generator

Describe a sequence, component, class, activity, use case, or state diagram and generate editable PlantUML source.

Examples
Diagram preview
Describe a sequence, component, class, activity, use case, or state diagram and generate editable PlantUML source.

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Move this output into a nearby workflow for preview, conversion, or debugging.

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How to use

  1. 1Describe the target diagram in plain language.
  2. 2Choose a diagram type and generate code with AI.
  3. 3Review the output, edit it if needed, then export or copy the source.

Common use cases

PlantUML sequence diagramsComponent diagramsActivity and state diagrams

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FAQ

Which AI provider is used?

The server calls DeepSeek directly and uses a local template fallback when DeepSeek is unavailable or not configured.

Are API keys exposed to the browser?

No. API keys are read only on the server through environment variables.

Generate PlantUML diagrams from natural language with DeepSeek.

Describe a sequence, component, class, activity, use case, or state diagram and generate editable PlantUML source.

The server calls DeepSeek directly and uses a local template fallback when DeepSeek is unavailable or not configured.

Demo: generate PlantUML for a payment workflow

AI PlantUML is useful when teams already store diagrams as text. The prompt should ask for a specific PlantUML diagram type and include the messages or components that must appear.

  • Ask for sequence, component, class, or activity explicitly.
  • Mention failure branches that need alt or if blocks.
  • Preview the generated PlantUML before committing it to docs.
Generate a PlantUML sequence diagram for checkout payment. Include Browser, API, PaymentProvider, OrderDB. Show authorize success and card_declined failure path.

Review checklist: keep generated PlantUML maintainable

PlantUML can become hard to maintain when AI adds too much styling or invents abstractions. Keep the first version plain and focused, then add style once the logic is correct.

  • Prefer readable participant names over clever aliases.
  • Avoid large skinparam blocks in the first draft.
  • Commit the source text beside the document that uses the rendered image.
@startuml
participant API
participant PaymentProvider
API -> PaymentProvider: authorize
PaymentProvider --> API: approved
@enduml

Review checklist for AI PlantUML Generator

Use AI PlantUML Generator when you need to inspect source content visually before it becomes documentation, a pull request note, an incident write-up, or a handoff artifact. Generate PlantUML diagrams from natural language with DeepSeek.

Before exporting, check that labels are readable, relationships match the source, generated examples do not contain private data, and the preview still makes sense after you edit the input.

Limits and troubleshooting

If the preview fails, reduce the input to the smallest complete example, confirm the format syntax, and then add sections back one at a time. Many rendering failures come from partial files, indentation mistakes, missing diagram headers, or copied snippets that depend on hidden context.

Treat the preview as a review surface rather than a source of truth. Generated diagrams, converted files, dashboards, and rule examples should be checked before they are used in production documentation or operations.

Example inputs to test

  • Sequence: Create a PlantUML sequence diagram for a user exporting a diagram as PNG: browser requests export, app renders SVG, conversion service creates PNG, and browser downloads the file.
  • Component: Create a PlantUML component diagram for DiagramPreview with web app, renderer modules, AI API route, DeepSeek provider, local fallback provider, and export utilities.
  • Activity: Create a PlantUML activity diagram for validating pasted diagram code, rendering a preview, showing errors, and exporting if successful.

Tool maturity

AI beta

AI-assisted beta

This tool can generate editable source with an AI provider. Review the output, render it locally, and adjust details before publishing.

The maturity label is not a quality score. It tells visitors whether the tool is best for stable export, deeper debugging, quick parsing, or AI-assisted generation.