Interview transcription

Transcribe interviews to text you can quote

For researchers, journalists, and students: speaker-labelled, timestamped transcripts of your interviews — a word-for-word verbatim for accuracy and a clean-read version for writing up.

  • Speaker labels
  • Timestamps
  • Verbatim + clean-read
  • DOCX · PDF export

15 free minutes · no card required

7,100+

minutes transcribed

660+

transcripts delivered

16,500+

segments translated

800+

people signed up

Who-said-what, automatically

Each speaker is detected and labelled — rename them once ('Interviewer', 'Respondent 3') and the whole transcript updates.

Two versions of every transcript

Verbatim keeps every 'um' and false start for rigorous analysis; clean-read polishes the text for quoting in your article or thesis.

Timestamps for citations

Every segment carries exact timestamps, so checking a quote against the recording takes seconds — and SRT export gives you subtitles for video.

Stop transcribing interviews by hand

An hour of interview audio takes four to six hours to transcribe manually. Researchers running ten interviews lose a working week to typing.

transcribez turns that hour of audio into a speaker-labelled transcript in minutes, in 99+ languages including Swahili — then lets you fix names and polish wording in a built-in editor before exporting to Word or PDF for your analysis workflow.

Simple pricing, M-Pesa or card

Kick Off

KES 350/month

100 minutes · 10 CV tailorings / month

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Starter

KES 1,000/month

600 minutes · 25 CV tailorings / month

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Or one-off minute top-ups from KES 100 — no subscription.

Frequently asked

How are speakers identified?

Automatically — each voice gets a label you can rename once, and the change applies across the whole transcript.

Can I use it for qualitative research coding?

Yes — export clean DOCX or TXT transcripts with timestamps and speaker labels, ready for NVivo, ATLAS.ti, or manual coding.

What about interviews in Swahili or mixed languages?

Both work — transcripts come back in the language spoken, with one-click translation to English or 99+ other languages.

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