Tools / Image Style Extractor / Use Cases / Match a Client's Existing Photography Style

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.

Tool
Image Style Extractor icon
Image Style Extractor

Every 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.

Agent Guides

Claude

  1. Connect ToolRouter in Claude: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Share three to five examples of the client's existing photography and describe what you notice about their visual identity.
  3. Run image-style-extractor with extract_style on each reference image.
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ChatGPT

  1. Connect ToolRouter in ChatGPT: {"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}
  2. Provide the client's existing photography samples and describe the handoff context.
  3. Extract style prompts from all provided references.
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Copilot

  1. Connect ToolRouter in Copilot: {"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}
  2. Provide the client photography references and the production document context.
  3. Extract the visual style from the references using extract_style.
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OpenClaw

  1. Connect ToolRouter in OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Define all client photography reference sets and the output format for the style library.
  3. Run extract_style across all client reference images.
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