In this update, I’ve added two things that, in my opinion, are the most important in this project:
I added a search bar that, as the user types, the clipboard history is filtered, searching both the clipboard content and any assigned tags. To support this, I refactored part of the interface by creating a single function responsible for drawing the clipboard list. This eliminated duplicate code and greatly facilitated future interface updates.
The biggest addition in this update was automatic content detection, whenever something is copied, the application now analyzes it and classifies it automatically. Currently, it can detect youtube links, github links, generic urls, email adresses, code, and, as always, normal text. Each detected type is stored in the database and displayed with its own icon(emojis), making the clipboard history much easier to identify.

During development I encountered an issue where copied code snippets were being detected as plain text instead of source code .After debugging the detection logic and verifying the values stored in the database, I identified and fixed the problem. The application now correctly classifies supported code snippets and displays the appropriate icon.

The code has already achieved its original objective of providing a persistent and more intelligent clipboard history than the default windows clipboard. The only thing left to do is to create a better interface.