How to Extract Photo EXIF Metadata with OpenClaw
Extract photo EXIF metadata with OpenClaw and ToolRouter. Read GPS coordinates, camera settings, and capture date from any image file.
Tool
Read embedded EXIF data from photos — GPS coordinates, camera settings, and capture timestamps. OpenClaw is the right tool for bulk EXIF extraction — reading metadata across large photo archives or event libraries.
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 Photo Location Finder tool:
- Define the metadata schema and output format before batching the image set.
- Run `read_exif` with `photo-location-finder` across the full image library.
- Flag any images with missing key fields — GPS, capture date, or camera model — for manual review.
- Export the full metadata dataset in the schema format for the archive system.
Example Prompt
Try this with OpenClaw using the Photo Location Finder tool
Use photo-location-finder to extract EXIF metadata from all 50 photos in this event archive. Return a structured table with filename, capture timestamp, GPS location where available, and camera model. Flag any photos where GPS data is absent.
Tips
- Define which fields are mandatory before batching — it determines what counts as a flagged record.
- Sort the output by capture timestamp after extraction to produce a chronological archive view automatically.
- For event archives, GPS presence often varies by photographer device — flag and note this rather than treating absent GPS as an error.