Interview transcription

The quote you need is in hour two, and you have four more interviews.

KolWrite transcribes interviews with speaker labels and timestamps, lets you hear any line before you quote it, and makes the whole set searchable — for journalists, academic researchers, and UX and market research teams working through a stack of sessions.

Verbatimeditable text, not a paraphrase
Timestampsjump back to any quote
Speaker IDinterviewer and participant, separated
100+languages, plus translation between them

A quote is only usable if you can find it again

Interview work is not about producing text. It is about being able to return to a specific thing a specific person said, and being sure they said it that way.

Hear it before you publish it

Click a line and playback jumps to that moment. Text flattens hesitation, sarcasm and emphasis — hearing the delivery is what stops a quote from being technically accurate and completely wrong.

Two voices, kept apart

Speaker separation distinguishes interviewer from participant, which matters more than it sounds: a leading question absorbed into the participant's turn quietly changes what the data says.

Search inside the conversation

Look for the term, the product name or the phrase across the transcript instead of scrubbing the recording. The moment you find it, you also have the timestamp to cite it by.

Ask across what you gathered

Chat over a transcript to surface where a theme appears, or generate a summary of a session before deciding which parts deserve close reading.

Fieldwork rarely happens at a desk

Research interviews are recorded in cafés, on doorsteps, over patchy calls and in labs. The workflow has to survive all of it.

Record wherever the interview happens

Capture on a phone, laptop or tablet, or start recording from an Apple Watch or Wear OS watch when the conversation begins before you can get a device out.

Interviews in the participant's language

Research is better when people answer in the language they think in. Transcribe in 100+ languages, then translate between supported languages so a team that does not share the participant's language can still work with the material.

Honest about hard audio

Background noise, distance from the microphone and people finishing each other's sentences degrade any transcription. The verify-against-audio step exists precisely because the difficult passages are the ones worth checking.

Participant confidentiality

Recordings and transcripts are encrypted and content is not used to train models by default — which matters when your consent form told a participant exactly where their words would go.

From a folder of recordings to material you can actually analyze

  1. 1

    Record or upload

    Bring in field recordings, call recordings or video sessions, or record the interview directly in the app.

  2. 2

    Transcribe with structure

    Get an editable transcript with speaker labels and timestamps rather than an unbroken block of text.

  3. 3

    Read and verify

    Work through the transcript, correct names and specialised terms once, and play back anything you intend to quote.

  4. 4

    Analyze and export

    Search, summarize and question the transcript, then export to Word or plain text to code and analyze in whatever tool your team already uses.

Questions

Can I quote directly from the transcript?

Treat the transcript as a fast, searchable draft of the recording rather than a finished record. Before a quote is published or written into findings, click the line and listen — that one habit catches the misheard name, the dropped negation and the sentence that reads differently than it sounded.

Does it label the interviewer and the participant separately?

Yes. Speaker separation splits the conversation into distinct voices with timestamps. A one-on-one interview with reasonable microphone placement separates cleanly; a five-person focus group with heavy overlap is harder, and worth reviewing rather than assuming.

Can I run research with participants who speak another language?

Yes. KolWrite transcribes in 100+ languages and translates between supported languages, so participants can answer in their own language while your team reads and analyzes in theirs. Keep the source transcript alongside the translation when meaning is contested.

Is my interview audio used to train models?

No — content is not used to train models by default, and recordings and transcripts are encrypted. If you work under an ethics board approval or a signed consent form, the security and privacy page has the detail you will need to reference.

Can I get transcripts into my analysis software?

Export to plain text or Word and import into the qualitative analysis tool your team already uses for coding. Timestamps travel with the text, so a coded excerpt still points back to a moment in the recording.

Start with the interview you keep putting off.

Upload the longest session in the study and see how quickly you can get to the three minutes that actually mattered.

Transcribe an interview
Transcribe an interview