Gemini

Gemini (by MacPaw) is an incredibly specialized, wildly aggressive disruptor that completely attacked the "Duplicate File Nightmare" market for macOS. Most users download the same PDF 10 times, or import the same 500 photos from their iPhone twice. Gemini mathematically annihilated this. It engineered a highly focused, intelligent machine-learning engine dedicated entirely to hunting down and exterminating duplicate files and visually similar photos with terrifying speed. Its absolute biggest differentiator is "The Intelligent Selection Math." Scanning for duplicates is easy; deciding which one to delete is terrifying. Gemini uses a proprietary "Smart Selection" algorithm. When it finds 5 identical copies of a video, it mathematically analyzes the metadata. It identifies which copy was created first, which copy is buried in a system folder, and which copy is in the "Downloads" folder. It automatically, mathematically selects the redundant copies for deletion, ensuring the original is preserved. Because it targets massive photo libraries, its "Similar Image Machine Learning" is legendary. You take 15 bursts of the exact same sunset photo on your iPhone. They aren't mathematically identical (the file hashes are different), but they look the same. Gemini uses advanced AI to mathematically analyze the pixels. It groups the 15 similar photos together, mathematically selects the one where your eyes are open and in focus, and suggests deleting the other 14, completely restoring massive amounts of iCloud storage.