Interview audio becoming a speaker-labeled transcript

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Interview transcription

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What you get

A transcript ready for your thesis appendix

See the deliverable before you pay: numbered lines, I / P1 labels, and timestamps — then download the same job as TXT, JSON, SRT, and VTT.

Anhang_B_Interview_07.txt

01:12:40 · English · 2 speakers · participant pseudonymized

.txt
Interview transcript — appendix-ready
Speaker key: I = Speaker 0 / interviewer; P1, P2… = subsequent diarized speakers. Explicit names are preserved.
Citation: quote by line numbers (e.g. ll. 012–014) and locate audio with timestamps.

001  I   [00:18:44]
     Earlier you mentioned feeling somewhat “between” disciplines. Could you say a bit more about how that shows up in supervision—if it does?

002  P1  [00:19:02]
     Mm. I think… I’m not sure I would frame it as a conflict, exactly. It’s more that my supervisor reads me as a methods person, whereas I still experience myself as closer to the archival side. So when we talk about “progress,” we’re often talking past each other a little.

003  I   [00:19:41]
     When you say “talking past each other,” what does that sound like in a typical meeting?

004  P1  [00:19:55]
     She’ll ask whether I’ve “closed the coding frame,” and I hear that as a request to stop collecting. But I’m usually trying to explain why another tranche of material might complicate the categories I’ve already used. It isn’t resistance, I don’t think—more a different sense of when the claim is ready.

005  P1  [00:20:40]
     And I notice I hedge a lot in those conversations. I’ll say “perhaps” or “it might be premature,” which… looking back, is also me managing the relationship, not only the epistemology.

006  I   [00:21:15]
     That’s helpful. How do you decide, then, what counts as enough evidence for a chapter claim?

007  P1  [00:21:31]
     I wish I had a tidy answer. In practice I write until the argument stops needing an extra example to feel honest. That isn’t a formal saturation criterion, I know. But for this project, “honest” has meant I can still hear the dissonant cases in the text.

008  I   [00:22:18]
     And has that standard shifted since your prospectus, or is it continuous with how you thought then?

009  P1  [00:22:32]
     It has shifted. Early on I was more anxious about looking incomplete to the committee. Now I’m more wary of over-smoothing. So the revision process has become… less about adding polish, more about leaving the seams visible where the data push back.

010  P1  [00:23:12]
     Which is ironic, because the polished version is what often travels better in a draft circulated for feedback. I’m still negotiating that tension.

011  I   [00:23:42]
     One last question for this stretch: how do you describe your research identity to peers outside the department?

012  P1  [00:23:58]
     I usually say I’m a qualitative researcher interested in how scholars learn to authorize their own claims. That feels truer than the field label on my office door—though I still use the door label when it opens a door, so to speak.
Numbered lines for ll. citations, I / P1 labels, and [HH:MM:SS] timestamps — paste into Word or LaTeX.

Research-grade transcript

Formatted for qualitative thesis and dissertation appendices — and exported in four formats so the same speakers and timings work in Word, coding software, and caption players.

  • Four formats, one job

    Download TXT, JSON, SRT, and VTT from the same transcription — appendix text plus captions and machine-readable data.

  • Cite by line numbers

    In the .txt, every utterance is numbered (001, 002…). Quote as ll. 012–014 and locate the audio with [HH:MM:SS] timestamps.

  • Pseudonym-ready labels

    Speaker 0 → I, Speaker 1 → P1. Stable interviewer/participant notation that travels cleanly into analysis memos.

  • Same speakers everywhere

    Labels and timing stay consistent across formats so your appendix, coding software, and caption track agree.

Questions

How fast can I convert my audio to text?
Transcription usually finishes in a few minutes. We email a download link. The transcript stays available for 30 days after the job finishes.
What audio formats are supported?
MP3, WAV, M4A, and MP4 audio, up to 500MB.
How much does it cost?
$5 flat per interview, any length. One-time payment, no subscription.
Do I get speakers and timestamps?
Yes — every transcription includes speaker labels and timestamps, plus text, JSON, SRT, and VTT downloads.
Is this a subscription?
No. You pay once for the file you upload. No account required.
Is my audio kept?
The audio and transcript stay for 30 days after the job finishes. A weekly cleanup then deletes them. You can delete them sooner from the privacy page. We do not use files to train our own models.