How to Transcribe Research Interviews
A practical workflow for transcribing qualitative research interviews — speaker labels, timestamps, editable transcripts and clean exports for coding in NVivo, Atlas.ti or a spreadsheet.
Qualitative research lives or dies on the quality of its transcripts. Whether you're coding interviews in NVivo or Atlas.ti, quoting participants in a thesis, or just trying to make sense of twelve hours of fieldwork, you need accurate, speaker-attributed, timestamped text you can search and cite.
This is a practical workflow for getting there with ScribeToAny, plus a note on how to cite the tool in your methods section.
What matters in a research transcript
- Speaker attribution. You need to know who said what — interviewer vs. participant, or across a focus group.
- Timestamps. So you can jump back to the audio to check tone, hesitation or a hard-to-hear passage before you quote it.
- Editability. Domain terms, names and acronyms will be misheard by any automatic system. You need to fix them fast.
- A clean export. Your analysis tool wants plain text or a structured file, not a locked PDF.
The workflow
- Record cleanly. A close mic and a quiet room do more for accuracy than any
software setting. Export the recording as
wav,mp3orm4a. - Upload and enable speaker labels. ScribeToAny detects the spoken language automatically (about 98 are supported) and labels each segment by speaker, so a two-person interview reads as a dialogue.
- Verify against the audio. In the browser editor, clicking a segment replays that moment — the fastest way to correct a mistranscribed technical term or a participant's name.
- Export for your analysis tool.
TXTorDOCXfor reading and quoting;TSV,CSVorJSONif you want to import segments (with timestamps and speaker column) into a spreadsheet or a script;SRT/VTTif the interview is video.
A word on accuracy: automatic transcription is a first draft, not a finished record. For anything you'll quote or code, verify the passage against the original audio. This is good practice for rigour and for research ethics alike.
Non-English interviews
If you interview in a language other than English, ScribeToAny transcribes in the source language on every plan, including the free one. On the Max plan you can also translate a finished transcript into any of 56 languages segment by segment — useful when you need an English working copy alongside the original-language transcript for your appendix.
Privacy and consent
Interview data is sensitive. Transcribe only recordings you have consent to process, follow your institution's data-handling and ethics-board requirements, and delete source files you no longer need. Uploaded files are used to produce your transcript, not to train models.
How to cite ScribeToAny
If a transcription tool materially shaped your data, name it in your methods section. A general form:
Interviews were transcribed using ScribeToAny (https://scribetoany.com), an automatic speech-to-text service, and corrected by the author against the original audio.
APA-style reference:
ScribeToAny. (2026). ScribeToAny [Automatic transcription software]. https://scribetoany.com
Adjust to your discipline's style guide; the point is a reproducible statement of what produced the transcript and that a human verified it.
The free plan for a small study
The free plan covers 2 transcriptions a day, 100 minutes a month, and 30 minutes per file, with no credit card — enough for a handful of short interviews or a pilot. For a full study with long sessions, the paid plans raise the per-file and monthly limits.
Start with the interview transcription tool, keep the audio close for verification, and your transcripts will be ready to code rather than ready to redo.