Use an image URL to identify a clothing or home item and find where to buy it online.
Quick answer: Use the Style Finder tool through ToolRouter to find where to buy an item from an image directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
You see a piece of furniture in a design blog, a jacket on a celebrity, or a rug in a hotel photo and want to know where to buy it. The product is right in front of you but finding the source means searching generic terms and scrolling through hundreds of loosely related results.
The find_by_url skill takes an image URL and identifies the product category, key visual attributes, and shopping sources where the item or close alternatives can be purchased. You can go from image to purchase options in a single step without manual keyword searching.
Interior design enthusiasts, fashion followers, and online shoppers use this to close the gap between visual inspiration and actual purchase — turning saved images into actionable shopping results.
How to find where to buy an item from an image with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude turns an image URL into a shopping conversation. Submit the URL, get the product identification and shopping sources, then ask follow-up questions about price range, available colours, or size options. Claude helps you evaluate the options and navigate to the best purchase choice.
How to find where to buy an item from an image with Claude
Once connected (see setup above), use the Style Finder tool:
Find an image URL of the item you want to locate
Ask: "Use style-finder to find where to buy the item in this image: [URL]"
Claude returns product identification and purchase options
Ask follow-up questions about colour variants, price range, or size availability to narrow the choice
Example prompt for Claude
Try this with Claude using the Style Finder tool
I found this image of a mid-century modern sideboard on a design blog: [URL]. Use style-finder to identify the product and find where I can buy it or something very similar. Tell me about the style, typical price range, and the best places to find it.
Tips for Claude
Use direct image URLs rather than page URLs for the most accurate product identification
Ask Claude to find similar alternatives if the exact item is out of stock or out of budget
Ask about style keywords from the result so you can search further on your own if needed
ChatGPT turns a visual shopping search into a structured buying guide. Submit an image URL, identify the product, and ask ChatGPT to format the purchase options with links, price ranges, and a recommendation based on budget and availability.
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 find where to buy an item from an image with ChatGPT
Once connected (see setup above), use the Style Finder tool:
Provide the image URL of the item you want to find
Ask: "Use style-finder to identify and find purchase options for the item in this image: [URL]"
ChatGPT returns product identification and shopping sources
Request: "Format these as a buying guide with source, price, and a recommendation for best value"
Example prompt for ChatGPT
Try this with ChatGPT using the Style Finder tool
I saw this lamp in a living room on Pinterest: [URL]. Use style-finder to identify it and find where I can buy it or a close dupe. Show me a buying guide with sources, prices, and which option you would recommend for a budget of around £150.
Tips for ChatGPT
Specify your budget upfront so ChatGPT can filter and prioritise options at the right price point
Ask for alternatives if the exact item is above budget or unavailable in your region
Request a link list format if you want to open purchase pages directly from the response
Copilot runs visual product search from within your IDE for building image-to-purchase features, style inspiration apps, or interior design tools. Submit an image URL, get product identification and shopping source data, and wire the structured output into your commerce or design platform.
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 find where to buy an item from an image with Copilot
Once connected (see setup above), use the Style Finder tool:
Ask: "Use style-finder with find_by_url to identify the product in this image: [URL]"
Copilot returns product identification and shopping source data
Ask: "Return as JSON with product_type, style_attributes, purchase_sources with name, price, url, and availability"
Wire the data into your image-to-shopping or style inspiration feature
Example prompt for Copilot
Try this with Copilot using the Style Finder tool
Use style-finder with find_by_url to identify the product in this image URL: [URL]. Return typed JSON with product_type, style_keywords, colour, and purchase_sources including source_name, price, currency, buy_url, and in_stock.
Tips for Copilot
Store style_keywords from the identification so users can run follow-up text searches with those terms
Include in_stock as a boolean so your app can surface available options prominently
Add a fallback to text search when image identification confidence is low
OpenClaw processes visual product searches in batch, taking multiple image URLs and returning normalized product identification and purchase source data for shopping platforms, style discovery apps, or automated product cataloguing. Process large image sets without individual visual searches.
How to find where to buy an item from an image with OpenClaw
Once connected (see setup above), use the Style Finder tool:
Prepare a list of image URLs to process
Ask: "Use style-finder with find_by_url to identify and find purchase options for each image URL"
OpenClaw returns structured product and shopping data for each URL
Normalize to a stable schema with product_type, style_keywords, purchase_sources, price, and url
Example prompt for OpenClaw
Try this with OpenClaw using the Style Finder tool
Use style-finder with find_by_url to process these 10 product image URLs and find purchase options for each. Return stable JSON with image_url, product_type, style_keywords, and purchase_sources including source_name, price, currency, buy_url, and in_stock.
Tips for OpenClaw
Lock the schema before processing large image batches so all results are directly comparable
Include the source image_url as a key field so results can be matched back to input images
Filter for in_stock entries before indexing in a shopping catalogue to keep results actionable
Frequently Asked Questions
How do I find where to buy an item from an image with an AI assistant?
Use an image URL to identify a clothing or home item and find where to buy it online. Connect the Style Finder tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Find an image URL of the item you want to locate Ask: "Use style-finder to find where to buy the item in this image: [URL]"
Which AI assistants can find where to buy an item from an image?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all find where to buy an item from an image using the Style Finder tool through ToolRouter, with no API keys or coding required.
What does the Style Finder tool do?
Find where to buy clothing and home items by image URL, or search for similar products.