Turn recorded interviews into accurate, speaker-labeled transcripts you can quote, cite, and analyze.
An interview is only useful once it is text. Researchers coding qualitative data and journalists hunting a quote both lose hours scrubbing audio back and forth. TranscribeBee converts recorded interviews — one-on-ones, focus groups, phone and video calls — into transcripts with every speaker separated and timestamped.
The transcript drops straight into a qualitative analysis tool such as NVivo or ATLAS.ti, a coding spreadsheet, or an article draft — plain text with every participant labeled, so you can start coding or pulling attributed quotes without reformatting anything first.
It works across 90+ languages and handles the overlap and accents that real interviews have far better than live dictation. Because it is pay-per-interview, a PhD with a grant or a freelancer on a single story is not forced into a monthly plan — and an itemized invoice is available for reimbursement.
Every participant is labeled and timestamped, so quotes are attributed to the right person and you can jump to the exact moment.
Download clean text ready for qualitative coding, note-taking, or drafting — no reformatting before you can work with it.
Pay per interview with no subscription, and get an itemized invoice you can submit for grant or expense reimbursement.
Yes. Multi-speaker interviews are segmented by speaker and timestamped, so you can attribute each quote accurately and cite the timecode.
It separates multiple speakers. Accuracy of speaker separation is best when participants do not constantly talk over each other, as with most moderated focus groups.
90+ spoken languages are supported. Select the interview’s language before processing for the most accurate result; mixed-language interviews are transcribed in the dominant language.
Yes. Billing is per interview with no subscription, and an itemized receipt/invoice is available for research grant or freelance expense claims.
$2 per hour. No subscription. Files are auto-deleted after processing.