Match a Client's Existing Photography Style
Analyze a client's existing photography and extract the style prompt needed to generate new images that match their established visual identity.
Extract Style from Inspiration Images
Analyze a reference image and extract its visual style as a reusable prompt you can apply to generate new images in the same aesthetic.
Quick answer: Use the Image Style Extractor tool through ToolRouter to extract style from inspiration images directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolYou find the perfect reference image — the exact mood, lighting, color grading, and composition you want — but when you try to describe it in a prompt you get something that is adjacent but never quite there. The gap between seeing a style and being able to articulate it generatively is where most image generation workflows stall.
Image Style Extractor's extract_style skill reads a reference image and translates its visual characteristics into the specific generative vocabulary that would recreate them — not a description of what is in the image, but the prompt elements that produced its aesthetic: the lighting setup, the color grading approach, the compositional conventions, and the texture and mood language.
Creators building consistent visual identities, designers trying to match a client's brand photography style, and teams maintaining image consistency across a content library use this to turn any reference image into a reusable style template.
How to extract style from inspiration images with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude is the ideal partner for style extraction when you want to understand the extracted prompt — why each element was identified, which components are essential versus optional, and how to adapt the style for your specific subject matter or brand constraints.
Connect ToolRouter to Claude
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
How to extract style from inspiration images with Claude
Once connected (see setup above), use the Image Style Extractor tool:
- Share the reference image and describe what aspect of it you most want to capture — lighting, color palette, mood, compositional approach, or overall aesthetic.
- Run image-style-extractor with extract_style to get the style prompt.
- Ask Claude to break down the extracted prompt and explain which elements are most responsible for the image's distinctive look.
- Test the extracted prompt on a new subject to verify it transfers the style rather than just recreating the original image.
Example prompt for Claude
Try this with Claude using the Image Style Extractor tool
Use image-style-extractor to extract the visual style from this reference photo. I want to understand what makes its lighting and color grading feel so cinematic. Break down the extracted prompt, explain which elements matter most, and tell me how to adapt it for portrait photography.
Tips for Claude
- Ask Claude to separate style elements from subject elements in the extracted prompt — you want to apply the style to new subjects, not recreate the original.
- Test the extracted prompt on a very different subject to confirm it is a true style extraction and not just a description of the source image.
- Ask Claude to identify the one or two elements in the prompt that have the most impact on the final look — those are the core of the style.
ChatGPT is the right tool when you have a collection of reference images and want to extract and compare styles from all of them — identifying the common aesthetic threads and synthesizing them into a master style prompt for consistent generation.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
How to extract style from inspiration images with ChatGPT
Once connected (see setup above), use the Image Style Extractor tool:
- Provide the full set of reference images from your mood board or inspiration collection.
- Run extract_style for each image to get individual style prompts.
- Ask ChatGPT to identify the common aesthetic elements across all extracted prompts.
- Synthesize a master style prompt that captures the shared visual language and document it as a reusable template.
Example prompt for ChatGPT
Try this with ChatGPT using the Image Style Extractor tool
Use image-style-extractor to extract style prompts from these 5 reference images from our mood board. Identify the visual elements they all share, note what makes each unique, and synthesize one master style prompt that captures the core aesthetic I can use for all future image generation.
Tips for ChatGPT
- Extract from five or more references before synthesizing — the pattern across multiple images is more reliable than any single extraction.
- Ask ChatGPT to note what the references have in common versus what is unique to each — only the common elements belong in the master prompt.
- Save the master prompt as a named template so your team can reference it without starting from scratch each time.
Copilot is best for style extraction when the result needs to live in a brand guide, creative brief, or visual standards document — so the extracted style can be applied consistently across the entire team.
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
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
How to extract style from inspiration images with Copilot
Once connected (see setup above), use the Image Style Extractor tool:
- Provide the reference image and describe where the extracted style will be documented.
- Run extract_style to get the style prompt.
- Format the extracted prompt as a labeled brand visual style entry with usage guidelines.
- Insert it into the brand guide or creative brief alongside the reference image.
Example prompt for Copilot
Try this with Copilot using the Image Style Extractor tool
Use image-style-extractor to extract the visual style from our hero brand photography reference. Format the extracted prompt as a 'Photography Style Guide' entry: style name, full prompt, key visual characteristics, and when to use this style versus our other photography styles.
Tips for Copilot
- Name the extracted style in the guide — 'Brand Hero Style' is easier to reference than a raw prompt string.
- Include usage guidance alongside the prompt — which content types use this style, which do not.
- Update the style guide when the brand photography direction evolves — extracted prompts can go stale as brand identity changes.
OpenClaw handles style extraction at scale — processing a large mood board archive, a competitor's content library, or a full brand shoot's worth of images to extract and organize the visual patterns across all of them.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsHow to extract style from inspiration images with OpenClaw
Once connected (see setup above), use the Image Style Extractor tool:
- Define the full image set and the output format — individual style prompts, grouped by visual category, or synthesized into style families.
- Run extract_style across the full image collection.
- Group the extracted prompts by visual similarity or style family.
- Export the organized style library as a structured reference document.
Example prompt for OpenClaw
Try this with OpenClaw using the Image Style Extractor tool
Use image-style-extractor to extract style prompts from all 40 images in our stock photo library selection. Group similar styles into visual clusters, name each cluster, and return the library so I can identify the 3-4 dominant visual styles we default to.
Tips for OpenClaw
- Group by visual style rather than subject — 'warm lifestyle' and 'clean product' are more useful categories than 'people' and 'objects'.
- Identify the dominant style clusters before synthesizing master prompts — the most common styles are the ones worth standardizing.
- Run a second extraction pass on the largest cluster to get a more refined prompt from that style family.
Frequently Asked Questions
How do I extract style from inspiration images with an AI assistant?
Analyze a reference image and extract its visual style as a reusable prompt you can apply to generate new images in the same aesthetic. Connect the Image Style Extractor tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Share the reference image and describe what aspect of it you most want to capture — lighting, color palette, mood, compositional approach, or overall aesthetic. Run image-style-extractor with extract_style to get the style prompt.
Which AI assistants can extract style from inspiration images?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all extract style from inspiration images using the Image Style Extractor tool through ToolRouter, with no API keys or coding required.
What does the Image Style Extractor tool do?
Analyze any image and extract its visual style as a reusable prompt — colors, mood, composition, and aesthetic.
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