Place a Product into a Lifestyle Scene
Composite any product into a lifestyle photo with matching lighting and shadows — no photography studio required.
Create an Architectural Context Render
Place a building render or model image into a street photo to show how a proposed building will look in its actual setting.
Quick answer: Use the Scene Compositor tool through ToolRouter to create an architectural context render directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolPlanning applications, investor pitches, and design presentations regularly require a photomontage showing the proposed building in its real street context. This traditionally requires a specialist architectural visualisation studio and takes weeks to produce — an expensive and slow step that often delays the planning process.
Scene Compositor composites a building render or 3D model image into a real street photo with matching perspective, lighting, and shadow. The result is a credible photomontage showing the proposed development in context, legible to planning officers, investors, and local stakeholders alike.
Architects use this to produce planning application montages quickly, developers use it for investor presentations, and planning consultants use it to illustrate pre-application representations before committing to a full CGI commission.
How to create an architectural context render with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Connect ToolRouter
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
Claude is ideal for architectural context rendering when you want to iterate on the placement and get a clear assessment of whether the proposed building reads well in the street scene before committing the image to a formal document.
How to create an architectural context render
Once connected (see setup above), use the Scene Compositor tool — the same steps work with Claude, ChatGPT, Microsoft Copilot, OpenClaw, and any MCP client:
- Share the building render and the street photo, and describe the intended placement.
- Ask Claude to run `place_object` via the scene-compositor tool.
- Ask Claude whether the perspective, scale, and shadow are convincing in the street context.
- Request a material or massing adjustment to the render before re-running if needed.
- Save the final montage for the planning application or presentation.
Example prompt
Try this with the Scene Compositor tool
Use scene-compositor to composite this residential block render into this street photo at the site location. Tell me whether the scale reads correctly against the neighbouring buildings and whether the perspective alignment looks accurate enough for a planning pre-application.
Tips
- Use a street photo taken from the viewpoint most likely to be used in the planning assessment — typically the primary elevation view.
- Ask Claude to check the horizon line alignment between the building render and the street photo — a misaligned horizon is immediately visible.
- Label the montage as a 'design intent' image for planning purposes to avoid being held to it with pixel precision.
Frequently Asked Questions
How do I create an architectural context render with an AI assistant?
Place a building render or model image into a street photo to show how a proposed building will look in its actual setting. Connect the Scene Compositor tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Share the building render and the street photo, and describe the intended placement. Ask Claude to run `place_object` via the scene-compositor tool.
Which AI assistants can create an architectural context render?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all create an architectural context render using the Scene Compositor tool through ToolRouter, with no API keys or coding required.
What does the Scene Compositor tool do?
Place any object into a photo scene with realistic lighting, shadow, and perspective matching.
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