When I’m picking an AI transcription tool, I don’t start with “accuracy claims” because everyone says they’re accurate. I focus on practical features that save me real time. First, I look for speaker identification, because it’s the difference between a readable meeting transcript and a messy wall of text. Second, I want an editor that makes corrections painless, like click-to-jump audio playback, timestamps, and a searchable transcript. Third, exports matter more than people think; I like having both text formats (DOCX, PDF, TXT) and subtitle formats (SRT, VTT) even if I don’t need them every time. One underrated feature I’ve learned to value is a custom vocabulary or “keywords” option, especially if you deal with names, acronyms, or jargon. My step-by-step trick: I run a 2-minute sample first, check how it handles speaker switches and proper nouns, and only then commit to a full upload. While looking into this topic I found Fingertips AI to be useful. Just to add, I also check whether the tool keeps a clean version history, because it’s surprisingly easy to lose good edits when you’re moving fast.