In the world of Open-Source Intelligence (OSINT), data velocity is everything. Intelligence analysts do not have time to manually strip metadata from individual photographs one by one.
To solve this, I engineered Refloow-Geo-Forensics, an open-source tool built to programmatically extract and map hidden GPS and EXIF data at scale. The tool gained enough traction to be featured by the Dark Web Informer, highlighting its utility for government-adjacent agencies and security researchers.
The Architecture of Forensics
The core engine was built using Node.js to handle rapid, asynchronous file processing. The script parses image headers, isolates the raw EXIF buffers, and decodes the latitude and longitude coordinates hidden within the file's binary data.
However, OSINT analysts are often investigators, not programmers. A command-line interface (CLI) was insufficient. To maximize the tool's utility, I wrapped the Node.js backend in an Electron framework. This converted the raw script into a highly accessible, native desktop application.
Security and Scalability
Because forensic tools are often used in sensitive environments, the application was strictly designed to operate locally, ensuring that highly classified imagery is never accidentally transmitted to a remote server during the metadata extraction process. It is a prime example of how taking a specialized script and applying proper UI/UX design can scale its impact across an entire industry.