How to Extract Photo EXIF Metadata with ChatGPT
Extract photo EXIF metadata with ChatGPT 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. ChatGPT is effective when EXIF extraction is part of a batch analysis — reading metadata across multiple images and compiling the findings.
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
Steps
Once connected (see setup above), use the Photo Location Finder tool:
- Provide the image files and specify which metadata fields are most important.
- Run `read_exif` with `photo-location-finder` across the image set.
- Ask ChatGPT to compile the metadata into a structured table and flag any images that are missing key fields.
- Use the compiled metadata for analysis, archiving, or verification.
Example Prompt
Try this with ChatGPT using the Photo Location Finder tool
Use photo-location-finder to extract EXIF data from these 8 photos. Return a table with filename, GPS location (human-readable), capture date and time, and camera model. Flag any photos where the GPS data is missing.
Tips
- Ask ChatGPT to note when GPS data is absent and whether the capture date is still reliable — the two fields are independent.
- For photo archive management, ask ChatGPT to group photos by capture date and location from the EXIF data.
- Specify whether you want raw values or human-readable interpretations — both can be useful in different contexts.