Use cases by audience
Journalists: field interview captured on iPhone or recorder, transcribed for fact-checking, quote extraction, and the eventual story. The verbatim accuracy and speaker attribution are critical — every quote must be attributable to who said it. Qualitative researchers: user interviews, ethnographic field recordings, grant-funded oral history projects. The transcript becomes the input to coding/analysis software (NVivo, Atlas.ti, Dedoose) and the permanent archive of the research data. HR and legal: exit interviews, witness statements, deposition prep. The structured Markdown is searchable and citable; the original audio is the legal record. Recruiters and hiring managers: candidate interview recordings (with consent) transcribed for hiring committee review without requiring everyone to listen to a 60-minute call.
Why structured Markdown matters for interview workflows
The structured output gives you clear speaker attribution (**Interviewer:** / **Interviewee:** after a one-time find-replace from the default Speaker 1/2 labels), topic-shift sections at major question changes, timestamps at every speaker turn for audio-jump-back, and verbatim text (no paraphrase, no smoothing). For quote extraction, you grep the Markdown for the topic, find the speaker label, and copy the exact words said with the timestamp for verification. That workflow is impossible from raw audio and tedious from a flat plain-text transcript.
Cross-link tip
If you also have written interview notes (Google Doc, Notion page, web article), run them through URL to Markdown so your notes and transcript live in the same Markdown vault. For follow-up research from PDFs (academic papers cited during the interview, court documents), see PDF to Markdown. The whole research record can live as Markdown side-by-side.