Tools / Scene Compositor / Use Cases / Visualize a Piece of Furniture in Your Room

Visualize a Piece of Furniture in Your Room

Place a product photo of any furniture item into a photo of your actual room to see how it looks before buying.

Tool
Scene Compositor icon
Scene Compositor

Buying furniture online is a gamble. The dimensions might fit but the style, scale, and colour can look completely different in your actual room than in a staged showroom setting. Returns are expensive and inconvenient, and the uncertainty often stops people buying at all.

Scene Compositor places any furniture photo into a photo of your actual room with matching perspective, lighting, and shadow. You can see a specific sofa in your actual living room, a particular dining table in your kitchen, or a specific bed frame in your bedroom — before ordering.

Online furniture buyers use this to reduce returns risk, interior designers use it to present furniture choices to clients in the client's actual space, and furniture retailers offer it as a decision-support tool to reduce abandoned carts.

Agent Guides

Claude

  1. Connect ToolRouter to Claude: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Share the room photo and the furniture product image you want to visualize.
  3. Ask Claude to run `place_object` via the scene-compositor tool.
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ChatGPT

  1. Add ToolRouter to ChatGPT using the MCP JSON configuration: {"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}
  2. Provide the room photo, the furniture product image, and the product dimensions.
  3. Run `place_object` via scene-compositor to generate the visualization.
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Copilot

  1. Add ToolRouter to your Copilot MCP configuration: {"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}
  2. Provide the room photo, the furniture item, and the project furniture schedule.
  3. Run `place_object` via scene-compositor to generate the placement visualization.
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OpenClaw

  1. Connect ToolRouter to OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Build your input list — one row per room photo and furniture combination.
  3. Run `place_object` via scene-compositor across the full batch.
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