Clearminutes
vs Otter.ai for Research

Fieldwork breaks most meeting tools in three specific ways. First, offline transcription: fieldwork means interviews in places with no usable internet, and a tool that needs the cloud is a tool that dies mid-session. Clearminutes runs the whole pipeline on the machine in front of you. Second, speaker separation for coding: a transcript that reads as one block is useless for qualitative analysis, so diarization labels interviewer and participant distinctly. Third, sensitive-source handling: interview audio is often identifiable and should not be uploaded to a third party; the live privacy network monitor proves per session that nothing left the device. Clearminutes is built for these three fieldwork realities; Otter.ai is built for connected-office collaboration, where an internet connection and a cloud account are assumptions, not constraints. The practical effect is that a researcher can fly to a field site, run a full day of interviews on a laptop with no signal, and come back with labelled transcripts ready for coding, without uploading a single recording to a third party or waiting for a connection to come back.