Algorithmic color matching is super fast and keeps the palette consistent across thousands of frames, but it can miss the subtle artistic choices a human colorist would tweak. Manual grading gives that creative touch and can adapt to storytelling moments, though it’s time‑consuming and can vary between editors. For metadata, automated tagging pulls things together at lightning speed and reduces human error in transcribing dates or credits, but if the OCR or OCR‑based algorithms misread a title or a name, you end up with a pile of inaccuracies that a careful human will spot. Manual tagging is slower but ensures each entry is contextual and precise. So, I’d say a hybrid workflow—let algorithms handle the bulk and let the human polish the details—usually gives the cleanest results.