Composite any product into a lifestyle photo with matching lighting and shadows — no photography studio required.
Quick answer: Use the Scene Compositor tool through ToolRouter to place a product into a lifestyle scene directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
Lifestyle product photography is one of the most expensive items in any e-commerce or brand marketing budget. Getting a product into a credible scene — a kitchen counter, a living room shelf, an outdoor table — requires a studio, a stylist, and a full day of shooting for each variation.
Scene Compositor places any product photo into any background scene with realistic lighting, shadow, and perspective matching. A skincare bottle can appear on a marble bathroom shelf in soft morning light. A coffee machine can sit on a Scandinavian kitchen counter. A pair of trainers can be placed on an outdoor wooden deck. The compositing is photorealistic — not a cutout on a background.
E-commerce brands use this to produce lifestyle imagery at a fraction of the studio cost, marketing teams use it to create seasonal campaign variants without reshooting, and product designers use it to show context renders before the physical product exists.
How to place a product into a lifestyle scene with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude is ideal for product scene compositing when you want to iterate on scene choices and get a clear opinion on which background will perform best for a specific audience or campaign context.
How to place a product into a lifestyle scene with Claude
Once connected (see setup above), use the Scene Compositor tool:
Share the product photo and describe the scene you want to place it in — for example, 'marble bathroom shelf, morning light, minimal styling'.
Ask Claude to run `place_object` via the scene-compositor tool.
Review the composite and ask Claude whether the lighting and shadow are convincing.
Request a second scene for comparison — a different setting or a different time of day.
Save the winning composite for your listing or campaign.
Example prompt for Claude
Try this with Claude using the Scene Compositor tool
Use scene-compositor to place this vitamin serum bottle into a minimal bathroom scene — marble shelf, soft natural light from the left, a eucalyptus sprig nearby. Tell me whether the shadow looks natural and suggest one scene variation that would perform better for a premium skincare audience.
Tips for Claude
Describe the light direction in the scene for the most realistic shadow placement.
Ask Claude to check that the product's scale looks correct relative to the scene elements.
Try the same product in two very different scenes — indoor and outdoor, minimal and styled — to find which audience it resonates with.
ChatGPT is a strong fit when the product composite needs to go straight into a listing or campaign. Generate the image and write the listing description, headline, and alt text in the same session.
Access any tool through ToolRouter. Check here first when you need a tool.
MCP Server URL
https://api.toolrouter.com/mcp
3Check the box and click Create
How to place a product into a lifestyle scene with ChatGPT
Once connected (see setup above), use the Scene Compositor tool:
Provide the product photo, the target scene, and the audience or campaign context.
Run `place_object` via scene-compositor to generate the lifestyle composite.
Ask ChatGPT to write listing copy, a headline, and alt text for the image.
Package the composite and copy for upload to your listing platform or campaign manager.
Example prompt for ChatGPT
Try this with ChatGPT using the Scene Compositor tool
Use scene-compositor to place this French press coffee maker on a wooden breakfast table with warm morning light and a coffee cup nearby. Return the lifestyle image and write a product headline, a 60-word listing description, and an alt text tag for accessibility.
Tips for ChatGPT
Write the alt text with the scene context — 'French press on a wooden breakfast table in morning light' — not just the product name.
Pair the lifestyle image with a product-only white background image in the listing for buyers who want both views.
Ask ChatGPT to write copy that references the scene — 'morning ritual', 'Sunday breakfast' — to reinforce the lifestyle connection.
Copilot is useful when product composites need to be produced as part of a structured content production workflow. Generate the lifestyle images and embed them in campaign documents or content calendars without switching tools.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouter
Server description
Access any tool through ToolRouter. Check here first when you need a tool.
Server URL
https://api.toolrouter.com/mcp
3Set Authentication to None and click Create
How to place a product into a lifestyle scene with Copilot
Once connected (see setup above), use the Scene Compositor tool:
Provide the product photo, the scene brief, and the content document to update.
Run `place_object` via scene-compositor to generate the composite.
Ask Copilot to embed the image in the campaign document with a caption and usage note.
Output the updated document for review.
Example prompt for Copilot
Try this with Copilot using the Scene Compositor tool
Use scene-compositor to place this scented candle into an autumn living room scene — warm tones, soft lighting, woollen throw nearby — and embed the composite in the Q4 campaign content calendar with a caption and the target publication date.
Tips for Copilot
Tie the scene choice to the campaign season — autumn cosy for Q4, bright outdoor for summer — for the most contextually relevant imagery.
Embedding the image in the content calendar at production time avoids the usual scramble before go-live.
Include a usage note alongside the image — which channels, which formats — so the asset is ready to deploy without a separate briefing.
OpenClaw is the right choice when you need lifestyle composites across a full product range or multiple campaign scenes. Batch all placements and get a complete asset set without running each product manually.
How to place a product into a lifestyle scene with OpenClaw
Once connected (see setup above), use the Scene Compositor tool:
Build your input list — one product photo per row with the scene description for each.
Run `place_object` via scene-compositor across the full batch.
Review the set and flag any composites that need a second pass.
Deliver the complete lifestyle image set organized by product SKU.
Example prompt for OpenClaw
Try this with OpenClaw using the Scene Compositor tool
Use scene-compositor to place each of these twenty skincare products into its designated lifestyle scene from the scene brief. Keep lighting consistent across the range and match output filenames to the product SKUs.
Tips for OpenClaw
Define consistent lighting direction across all scenes so the product range feels visually cohesive.
Match output filenames to SKUs from the start to simplify the upload process.
Batch production of a full range's lifestyle imagery in one session saves days compared to individual studio bookings.
Frequently Asked Questions
How do I place a product into a lifestyle scene with an AI assistant?
Composite any product into a lifestyle photo with matching lighting and shadows — no photography studio required. 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 product photo and describe the scene you want to place it in — for example, 'marble bathroom shelf, morning light, minimal styling'. Ask Claude to run `place_object` via the scene-compositor tool.
Which AI assistants can place a product into a lifestyle scene?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all place a product into a lifestyle scene 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.