Tools / Photo Location Finder / Use Cases / Identify Photo Shoot Locations

Identify Photo Shoot Locations

Find where a photo was taken using visual AI analysis — useful for travel recreation, content research, and location scouting.

Tool
Photo Location Finder icon
Photo Location Finder

Travel photos, editorial shoots, and viral images often feature locations people desperately want to visit — but the exact spot is never mentioned. Finding it means reverse image searching, combing through comment threads, or asking on Reddit and hoping someone recognizes it.

Photo Location Finder analyses the visual content of any photo — architecture, vegetation, street furniture, signage, terrain — and identifies the likely location. It narrows down country, city, and often a specific landmark or neighborhood.

Travel creators use this to find the exact shooting position for iconic shots before visiting a destination. Journalists use it to verify where a photo was claimed to have been taken. Location scouts use it to identify promising filming locations seen in references without any attribution.

Agent Guides

Claude

  1. Connect ToolRouter to Claude: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Upload the photo and describe what information you are hoping to extract — country, city, specific landmark, or exact street position.
  3. Run `locate_photo` through `photo-location-finder` to generate the location analysis.
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ChatGPT

  1. Add ToolRouter to ChatGPT using the MCP JSON configuration: {"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}
  2. Provide the photos and describe the research context — travel planning, content verification, or location scouting.
  3. Run `locate_photo` with `photo-location-finder` for each photo.
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Copilot

  1. Add ToolRouter to your Copilot MCP configuration: {"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}
  2. Upload the photo and specify the context — travel planning, journalism, or location scouting.
  3. Run `locate_photo` through `photo-location-finder` to identify the location.
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OpenClaw

  1. Connect ToolRouter to OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Define the analysis schema — location fields, confidence format, flagging criteria — before batching.
  3. Run `locate_photo` with `photo-location-finder` across the full photo set.
Read full guide →

Related Use Cases

Open Extract Photo EXIF Metadata

Extract Photo EXIF Metadata

Read embedded EXIF data from photos — GPS coordinates, camera settings, date and time — for location verification and photography analysis.

Photo Location Finder icon
Photo Location Finder
4 agent guides