DiagramPreview
AI betaAIDeepSeekLocal fallbackMermaid

Architecture Diagram Generator

Describe a system architecture and generate editable Mermaid diagrams for services, queues, databases, clients, and external integrations.

Exemples
Diagram preview
Describe a system architecture and generate editable Mermaid diagrams for services, queues, databases, clients, and external integrations.

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

Comment utiliser

  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.

Cas d’usage

Architecture documentationSystem design draftsEngineering planning

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 Mermaid architecture diagrams from product or system notes with AI.

Describe a system architecture and generate editable Mermaid diagrams for services, queues, databases, clients, and external integrations.

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

Demo: generate a system architecture diagram from notes

Architecture notes usually mix components, deployment details, and product behavior. A good generated diagram separates boundaries and shows only the dependencies that matter for review.

  • Include users, external providers, services, queues, and data stores.
  • State whether the diagram should show runtime flow or deployment topology.
  • Ask the model to keep labels short for preview and export.
Generate a Mermaid architecture diagram for a multi-tenant SaaS. Include browser, CDN, Next.js app, API gateway, tenant service, billing service, Postgres, Redis, event bus, worker, and email provider. Highlight tenant isolation boundary.

Architecture review: identify what the diagram should prove

A useful architecture diagram answers a question: where data flows, what can fail, which boundary protects sensitive data, or how a service scales. Without that question, generated diagrams tend to become decorative.

  • Write the review question in the prompt.
  • Remove details that do not support that question.
  • Keep security and data ownership boundaries visible.
Review question: can checkout continue if analytics is down?
Diagram focus: synchronous checkout path vs async analytics path.

Checklist de revue pour Architecture Diagram Generator

Utilisez Architecture Diagram Generator pour inspecter visuellement une source avant documentation, note de PR, post-mortem ou transfert. Generate Mermaid architecture diagrams from product or system notes with AI.

Avant export, vérifiez la lisibilité, les relations, les données sensibles et la cohérence après modification.

Limites et dépannage

Si l'aperçu échoue, réduisez l'entrée au plus petit exemple complet, validez la syntaxe puis réajoutez les sections.

Considérez l'aperçu comme une surface de revue, pas comme une source de vérité. Les résultats critiques doivent être validés.

Exemples à tester

  • SaaS architecture: Design a SaaS architecture with browser, CDN, Next.js app, API gateway, auth service, billing service, worker queue, PostgreSQL, Redis, object storage, and email provider.
  • Event driven: Create an event-driven order platform with checkout API, order service, payment provider, event bus, inventory service, shipping service, analytics pipeline, and data warehouse.
  • Edge deployment: Show an edge image processing architecture with users, edge cache, upload API, job queue, image workers, object storage, metadata database, and webhook callbacks.

Maturité de l'outil

AI beta

Beta assistée par AI

Cet outil génère une source modifiable avec AI. Relisez, prévisualisez localement et ajustez avant publication.

Le libellé indique si l'outil convient surtout à l'export stable, au débogage, à l'analyse rapide ou à la génération AI.