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.
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.
Quick answer: Use the Image Style Extractor tool through ToolRouter to match a client's existing photography style directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolEvery brand has a photography style that evolved over years of shoots, edits, and creative decisions — but when a new team member, freelancer, or agency takes over, they have no documented style guide to work from. The result is photography that looks vaguely similar but misses the specific qualities that made the original feel like the brand.
Image Style Extractor's extract_style skill analyzes the client's existing photography and produces a style prompt that captures the specific qualities that define their visual identity — the color temperature, the depth-of-field convention, the lighting setup philosophy, the composition tendencies.
Freelance photographers briefing a shoot from brand references, marketing teams onboarding new creative agencies, and in-house designers maintaining visual consistency when the original photographer is not available use this to document the undocumented and create a replicable style standard.
How to match a client's existing photography style with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude is the right tool for client photography style matching when the nuance matters — understanding exactly what makes the client's photography feel like theirs rather than generic, and making sure the extracted prompt captures the subtle qualities not just the obvious ones.
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 match a client's existing photography style with Claude
Once connected (see setup above), use the Image Style Extractor tool:
- Share three to five examples of the client's existing photography and describe what you notice about their visual identity.
- Run image-style-extractor with extract_style on each reference image.
- Ask Claude to synthesize the common style elements across all extractions and identify what is most distinctive about this client's photography.
- Use the synthesized style prompt as the brief foundation for new photography or image generation.
Example prompt for Claude
Try this with Claude using the Image Style Extractor tool
Use image-style-extractor to analyze these 4 photos from my client's existing brand photography. Extract the visual style from each, then synthesize what makes their photography distinctive — the specific qualities I need to replicate when generating new images for them. What is their 'signature style'?
Tips for Claude
- Analyze multiple examples before synthesizing — one image can be misleading, the pattern across four is reliable.
- Ask Claude to identify what is distinctive about this client versus generic stock photography in the same category.
- Test the synthesized prompt on a new subject the client has not photographed — it should feel like their brand even on unfamiliar ground.
ChatGPT handles client style matching well when you need to produce a complete style documentation package — the extracted prompt, usage guidelines, and example applications — for a new creative team or agency taking over a client's account.
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 match a client's existing photography style with ChatGPT
Once connected (see setup above), use the Image Style Extractor tool:
- Provide the client's existing photography samples and describe the handoff context.
- Extract style prompts from all provided references.
- Ask ChatGPT to synthesize a style guide document — extracted prompt, key visual characteristics, do's and don'ts.
- Package as a client-ready onboarding document for the incoming creative team.
Example prompt for ChatGPT
Try this with ChatGPT using the Image Style Extractor tool
Use image-style-extractor to extract the visual style from these 6 photos from our client's brand. We are handing this account to a new agency next month. Create a client photography style guide document: extracted prompt, 5 key visual characteristics, 3 common mistakes to avoid, and 2 example briefs showing how to apply the style.
Tips for ChatGPT
- Include 'do not do' examples in the style guide — the mistakes are often more instructive than the correct direction.
- Write the style guide for the incoming team, not for yourself — they will not have your context about the client.
- Update the style guide at each major brand refresh — a stale style guide is often worse than no guide at all.
Copilot is best for client style matching when the extracted style needs to be embedded in production briefs, shoot specs, and creative documents as part of the campaign production workflow.
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 match a client's existing photography style with Copilot
Once connected (see setup above), use the Image Style Extractor tool:
- Provide the client photography references and the production document context.
- Extract the visual style from the references using extract_style.
- Add the extracted style prompt and key visual characteristics to the shoot brief.
- Include the reference images alongside the prompt in the brief so the photographer has both visual and descriptive guidance.
Example prompt for Copilot
Try this with Copilot using the Image Style Extractor tool
Use image-style-extractor to extract the visual style from these 3 client reference photos. Add the extracted style prompt and 4 key visual characteristics to the shoot brief for next week's product photography session. Include the reference images in the brief alongside the style description.
Tips for Copilot
- Always include the reference images alongside the extracted prompt in a brief — photographers respond better to visual examples than text descriptions.
- Add the style prompt to the brief as a generative AI reference so retouchers can test edits against the extracted style.
- Lock the style parameters in the brief before the shoot — mid-shoot style decisions create inconsistency in the output.
OpenClaw handles multi-client style extraction at agency scale — processing photography references for all active clients and building a style library that makes briefing and consistency management systematic.
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 match a client's existing photography style with OpenClaw
Once connected (see setup above), use the Image Style Extractor tool:
- Define all client photography reference sets and the output format for the style library.
- Run extract_style across all client reference images.
- Organize extracted styles by client with key visual characteristics documented.
- Export the complete multi-client style library for agency-wide use.
Example prompt for OpenClaw
Try this with OpenClaw using the Image Style Extractor tool
Use image-style-extractor to extract visual style prompts from the photography reference sets for all 8 of our active clients. Organize by client, include the extracted prompt and 3 key visual characteristics per client. Return as a style library document the whole agency can reference.
Tips for OpenClaw
- Build the client style library at onboarding rather than after problems arise — proactive documentation prevents inconsistency.
- Update each client's style entry when they run a new major campaign shoot — styles evolve and the library should reflect current direction.
- Share the style library across the full creative team — consistency problems come from individuals not knowing the standard, not from lack of talent.
Frequently Asked Questions
How do I match a client's existing photography style with an AI assistant?
Analyze a client's existing photography and extract the style prompt needed to generate new images that match their established visual identity. 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 three to five examples of the client's existing photography and describe what you notice about their visual identity. Run image-style-extractor with extract_style on each reference image.
Which AI assistants can match a client's existing photography style?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all match a client's existing photography style 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.
Related Use Cases
Build a Consistent Social Media Aesthetic
Extract the visual style from your best-performing social posts and turn it into a reusable style prompt for consistent content creation.