DiagramPreview
AI betaAIDeepSeekLocal fallbackMermaid

Architecture Diagram Generator

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

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

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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

Architecture documentationSystem design draftsEngineering planning

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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 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.

Review checklist for Architecture Diagram Generator

Use Architecture Diagram 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 Mermaid architecture diagrams from product or system notes with AI.

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

  • 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.

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.