Using OpenClaw Canvas: Visual Workspace Guide
Create interactive diagrams, dashboards, and visual content with OpenClaw's Canvas feature.
What Is Canvas?
Canvas is OpenClaw's visual workspace — a live, interactive surface where your AI assistant can render HTML, CSS, JavaScript, diagrams, dashboards, and any visual content you need.
How Canvas Works
When you ask OpenClaw to create something visual, it generates HTML/CSS/JS code and renders it in a Canvas window. The canvas updates in real time as the AI iterates on the design.
Getting Started
Ask OpenClaw to create visual content:
- "Create a flowchart showing our deployment process"
- "Build a simple dashboard showing today's stats"
- "Draw an organization chart for our team"
- "Make a timeline of project milestones"
Canvas Capabilities
Diagrams
- Flowcharts and process diagrams
- Organization charts
- Network topology diagrams
- Entity relationship diagrams
Dashboards
- Data visualization with charts
- Status boards and KPI displays
- Real-time data monitoring views
Interactive UI
- Form builders and prototypes
- Interactive calculators
- Simple games and demos
Documents
- Formatted reports
- Presentation slides
- Styled documents with custom layouts
Example: Creating a Dashboard
"Create a canvas dashboard showing:
- A header with today's date
- Three KPI cards: Revenue ($12,500), Users (1,234), Uptime (99.9%)
- A simple bar chart of weekly sales
- Use a dark theme with blue accents"
OpenClaw generates the HTML/CSS/JS and renders it instantly.
Canvas Controls
- Iterate: "Make the chart bigger" or "Change the color to red"
- Export: "Save this as HTML" or "Screenshot the canvas"
- Clear: "Close the canvas" or "Start a new canvas"
Platform Support
Canvas is available on:
- macOS (native window)
- Web interface
- Mobile (limited, view-only in most channels)
Tips
- Start with a clear description of what you want
- Iterate in small steps — "now add X" works well
- Canvas uses standard web technologies — CSS and JS work as expected
- For complex visualizations, specify the library preference (e.g., Chart.js)
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Get StartedRelated Guides
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