DiagramPreview - paste Mermaid/PlantUML/OpenAPI/SQL and export diagrams

DiagramPreview - paste Mermaid/PlantUML/OpenAPI/SQL and export diagrams

Lipengxs2014

LLMs are now very good at generating Mermaid, PlantUML, OpenAPI flows, SQL schemas, Docker Compose snippets, and Kubernetes manifests.


But there is still a practical gap in the workflow:


- The model gives you diagram text.

- You still need to preview it.

- You often need to fix small syntax errors.

- You need SVG/PNG/PDF export before adding it to a README, design doc, or proposal.


For example, an LLM can generate a Mermaid sequence diagram like this:


```mermaid

sequenceDiagram

autonumber

participant User

participant Web

participant API

participant DB

User->>Web: Submit checkout

Web->>API: POST /orders

API->>DB: Create order

DB-->>API: order_id

API-->>Web: 201 Created

Web-->>User: Show confirmation

```


That is a good draft, but I still want to check whether it renders, whether the labels are readable, and whether the exported SVG looks clean in the final document.


The same thing happens with API and DevOps docs. The source might be YAML instead of Mermaid:


```yaml

paths:

/orders:

post:

summary: Create order

responses:

"201":

description: Order created

"401":

description: Missing or invalid token

"422":

description: Invalid order payload

```


Or a Prometheus alert rule:


```yaml

groups:

- name: api.rules

rules:

- alert: HighApiErrorRate

expr: sum(rate(http_requests_total{status=~"5.."}[5m])) / sum(rate(http_requests_total[5m])) > 0.05

for: 10m

labels:

severity: warning

```


I built DiagramPreview to cover that missing step:


https://diagrampreview.com


Here is what the preview workflow looks like:


![Mermaid Preview](https://diagrampreview.com/marketing/images/desktop-mermaid-preview.png)


The workflow is simple:


1. Ask an LLM to generate a Mermaid, PlantUML, or architecture diagram.

2. Paste the result into DiagramPreview.

3. Preview the rendered output.

4. Fix syntax issues if needed.

5. Export it for documentation.


I also like keeping both the source and the rendered output in the repository:


```text

docs/

architecture/

checkout-sequence.mmd

checkout-sequence.svg

observability/

api-alert-rules.yaml

api-dashboard.json

```


That way the diagram remains editable instead of becoming a one-off screenshot.


It currently supports Mermaid, PlantUML, Graphviz, D2, Markdown with Mermaid, OpenAPI to sequence diagrams, SQL to ER diagrams, JSON/YAML/XML/CSV visualizers, JSON Schema, Docker Compose, Kubernetes manifests, package.json dependencies, and regex railroad diagrams.


It also includes AI-assisted tools such as AI Draw.io generation and Grafana dashboard JSON generation:


![AI Draw.io Generator](https://diagrampreview.com/marketing/images/desktop-ai-drawio-generator.png)


![Grafana Dashboard Generator](https://diagrampreview.com/marketing/images/desktop-grafana-dashboard-generator.png)


The goal is not to replace AI. It is to make AI-generated diagram output easier to validate, edit, and ship into real documentation.


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