How to Extract Outfit Components with OpenClaw
Extract outfit components from photos with OpenClaw and ToolRouter. Identify and catalogue every garment and accessory for wardrobe analysis and trend research.
Tool
Identify and catalogue every garment and accessory in a photo for wardrobe analysis and trend research. OpenClaw is the right tool for high-volume extraction — cataloguing hundreds of editorial photos or a full client wardrobe archive at once.
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 toolsSteps
Once connected (see setup above), use the Outfit Stylist tool:
- Define the extraction schema — fields required per garment, output format — before batching.
- Run `extract_outfit` with `outfit-stylist` across the full photo set with a consistent schema.
- Flag any photos where extraction is incomplete or ambiguous and review those individually.
- Export the complete catalogue with consistent field labels and photo references.
Example Prompt
Try this with OpenClaw using the Outfit Stylist tool
Use outfit-stylist to extract and catalogue outfits from these 30 street style photos. For each photo, list every visible garment and accessory with type, colour, and any discernible brand. Return as a structured table and flag any photos where the extraction seems incomplete.
Tips
- Define the minimum acceptable extraction — at least garment type and colour — so incomplete records can be flagged automatically.
- Run a test on 5 photos first to confirm the schema produces usable entries before batching the full set.
- For trend analysis, add a 'season' and 'source' field to the schema so the catalogue is filterable by time and context.