Otter.ai transcribes interviews in real time and its searchable library changed how I work on long investigations

I am an investigative journalist. I conduct a lot of interviews and the relationship between recorded conversations and finished stories involves a lot of transcription, re-reading and searching for specific quotes. I want to write about Otter.ai from that specific context rather than the meeting assistant framing most reviews use.

The Real-Time Transcription during interviews is the starting point. I run Otter on my phone during in-person interviews and it transcribes continuously as we talk. By the time the interview ends I have a full transcript rather than audio I need to send for transcription later. For deadlines that time compression matters.

The Searchable Knowledge Base is what makes Otter genuinely useful for long projects. All my interview transcripts are in one central library. When I am writing and I need to find which source said something specific about a particular topic I can search across every transcript I have from a project. "Find every time someone mentioned the committee meeting" returns the specific passages from every interview where it came up. That cross-interview search is something that used to require reading through pages of transcripts manually.

Speaker Identification tags different voices in the transcript automatically. In an interview that is usually just me and one source. In group conversations or panel situations it distinguishes who said what.

The Collaborative Editing for adding comments and highlights on specific transcript passages is how I flag quotes I want to use during the writing process.

OtterPilot for remote interviews joins automatically which handles the Zoom and Teams calls without a separate setup step.