Social Analyzer is a versatile tool designed for uncovering and analyzing social media profiles across over 1,000 platforms. It features a selection of analysis and detection modules, allowing users to tailor their investigations based on specific needs. The detection system assigns a rating from 0 to 100, aiming to minimize false positives. This tool is particularly useful in identifying profiles involved in cyberbullying, grooming, stalking, and misinformation, making it valuable for law enforcement agencies, especially in resource-limited settings. The tool's capabilities include multi-profile searches, string analysis, and various detection methods, such as OCR and advanced techniques. It can extract metadata and visualize profile information using a force-directed graph. Users can perform searches based on multiple criteria, including the type of content and geographical location. The tool supports both a web app and command-line interfaces in Python and Node.js, offering flexibility in how investigations are conducted. Installation involves standard package commands and setting up dependencies like Firefox and Tesseract OCR. Users can issue commands to find profiles by usernames or other identifiers, with options for metadata extraction and filtering results. The output can be formatted as JSON or in a prettified style for better readability. The project encourages integration with existing OSINT tools and provides comprehensive documentation for installation and usage. However, it emphasizes that this tool should be used locally and not as a service, highlighting the need for privacy and security in investigations.