In-Depth Interview Transcription

Transcribing an in-depth interview to text is needed by UX and product researchers, CustDev specialists, and qualitative researchers: a one-on-one conversation has to become text so you can work through the answers, surface insights, and code patterns. DictAI recognizes the speech from an interview recording and returns ready text — upload an audio or video file or paste a link, and the AI turns the conversation into text automatically.

An in-depth interview is a one-on-one conversation where every phrasing of the respondent matters. The AI labels lines by speaker, so the interviewer's questions and the respondent's answers stay separated, and timestamps tie each thought to a moment in the recording — handy to revisit an exact quote or tone during analysis. Recognition works in 35+ languages and handles mixed Russian-English speech.

Both audio and video are supported: a recording from a recorder, phone, or call (MP3, WAV, M4A, MP4), as well as links from 1,000+ platforms if the interview ran online. The finished text is edited in the browser — handy to label roles and fix terms — and exported to TXT, DOCX, or PDF for further coding. For long interviews an AI summary is available — a short digest of the key ideas (a paid-plan feature).

Transcribing an in-depth interview saves hours of manual typing: instead of typing out an hour-long conversation by ear, the researcher works with the verbatim text right away — coding answers, collecting JTBD quotes and user pains, comparing respondents. You can start for free — 30 minutes of transcription with no card required. Accuracy depends on recording quality: with clear sound and people speaking in turn, recognition and speaker separation are more accurate than with noise or people talking over each other.