Record, with consent
Ask your respondent for consent beforehand and set down how you will use and store the recording (informed consent). A voice plus a name already counts as personal data.
Frequently asked questions
Transcribing interviews
Typing it up yourself takes four to six hours for every hour of audio. Notuly turns the recording into a transcript with the speakers separated within ten minutes, so your time goes into the analysis.
Available on macOS, Windows, iOS and Android.
Used by people at these organisations.






Short answer
Transcribing an interview for your dissertation means writing out the recording as text, so you can anonymise it, code it and use it as research data. A clean read is enough for most dissertations; you choose full verbatim when the way something is said matters. The typing is the fastest part: software converts an hour of audio in minutes, and you check the result against the recording.
The forms
The form you choose determines how readable your transcript is and how much work it takes. Always check what your programme requires.
Say you've done eight interviews of forty-five minutes each: around six hours of audio on your phone. Your supervisor says 'write up the interviews and put them in the appendix'. After twenty minutes of typing you have two minutes of conversation on paper, and you start working out how many evenings this is going to take. More than you have left. Before you book those evenings in, choose your form first.
In a verbatim transcript you write down everything exactly as it sounded: filler words, repetitions, false starts, every 'um', sometimes even pauses and intonation. You use it when the exact way something is said matters, for instance in conversation or discourse analysis. The second form drops the fillers and false starts and keeps the same content in tidy sentences: this is a clean read, internationally also called intelligent verbatim. For most dissertations, a clean read is all you need: it reads well and you lose no content. A summarised version lets go of the word-for-word entirely and is closer to minute-taking; you would rarely use it for qualitative research, because you lose your quotes and your nuance.
| Form | What you write down | When to choose it |
|---|---|---|
| Verbatim | Everything as it sounded, including every 'um', false starts and pauses | When the way something is said matters, as in conversation analysis |
| Clean read | The same content, fillers removed, tidy sentences | The usual choice for a dissertation |
| Summarised | Just the main points, no quotes | Rarely suitable for qualitative research |
Whichever form you go for, choose it up front and keep it consistent across all your interviews. And transcribing is only one step; the full route, from recording to analysis, is below.
Step by step
Transcribing is one step of four. The first two are quick; the last two are the real research work, and no tool can do that for you.
Ask your respondent for consent beforehand and set down how you will use and store the recording (informed consent). A voice plus a name already counts as personal data.
Turn the recording into text in the form you chose, by hand or with software. With software, you always check the result against the recording.
Replace names, employers and home towns with pseudonyms or role descriptions before you quote anyone in your dissertation.
Assign codes to fragments, group them into themes and build your storyline. Put the transcripts in the appendix; this is where your grade is earned.
The pitfall
Usually not: as long as you can still trace the person, it is pseudonymisation and the GDPR still applies. For a dissertation too.
As soon as you process interviews with identifiable people, the GDPR rules apply. A recording with a name in it is personal data, and that brings three obligations your supervisor and your institution's data protection officer can check.
Ask for consent beforehand and set down what you are recording, what you will use it for, how long you will keep it and that the respondent can withdraw. Universities want that consent to be 'unambiguous, freely given and specific', documented in writing or verbally (source: Ghent University). The general rules are on can you record a meeting.
Replacing names with 'Respondent 1' feels anonymous, but as long as you can still work out who the real person is, through a key file or the stored audio, it is pseudonymisation. The Autoriteit Persoonsgegevens, the Dutch data protection authority, treats pseudonymisation as a security measure: the data remains personal data and the GDPR still applies. Only once the link to the person is irreversibly broken is the data truly anonymous and outside the GDPR. For most dissertations that means you hold pseudonymous data throughout your research, and you handle it as carefully as you would the names themselves.
This only applies if you use an external transcription service or app for recordings that contain personal data: the GDPR then requires a data processing agreement (GDPR Article 28). You put it in place before you upload the first recording. As the researcher you remain responsible; the service is the processor (source: the Autoriteit Persoonsgegevens).
The maths
Typing up one hour of audio easily takes four to six hours. Software does the same hour in minutes, but checking against the recording is always part of the job.
Typing it up yourself gives you full control and you hear every nuance, but for a dissertation with eight to ten interviews it adds up to dozens of hours of pure typing. Automatic transcription saves that time, but it is not flawless: speech recognition stumbles over accents, specialist terms and words that sound alike. Allow one and a half to three and a half hours per interview for checking against the recording (source: Eftekhari, 2024). However you transcribe, checking is part of it.
| Method | Time for 1 hour of audio | Accuracy | What to watch |
|---|---|---|---|
| Typing it up yourself | 4 to 6 hours | High (you hear the nuance) | A lot of work; with several interviews it adds up fast |
| Automatic (software) | A few minutes to convert | Good, but not flawless | Always check against the recording; and mind where your recording goes |
Timings based on commonly cited figures (Amberscript, StudentJob) and the checking time in Eftekhari (2024). Speed, in other words, is no longer the problem; what remains is the question of where your recording ends up while a service converts it. More on that below.
The limit
Transcribing gives you the raw text of your interviews, not your conclusions. A transcript is what was literally said; you still have to draw the codes, the themes and the storyline out of it, and that is precisely the step your supervisor marks.
And sometimes you're after something other than a research transcript. If you just want to know how to turn a recorded conversation into text, without the research context, read conversation transcription. If you don't want a word-for-word transcript but a tidy report with the decisions and the action points, typing out the whole conversation is the long way round: look at the meeting report or writing up meeting minutes. And if you're not sure whether you're allowed to record this interview, start at can you record a meeting.
General information about research methods and the GDPR, not a legal or methodological verdict. Follow your own programme's requirements and, for sensitive data, the guidance of your institution's data protection officer or ethics committee. Sources consulted in June 2026.
With Notuly
Phone on the table, audio processed in Amsterdam, the transcript with the speakers in your inbox. Your time is left for the anonymising and the analysis.
Put your phone on the table and press the record button. You listen instead of typing; for an online meeting, you use the desktop app.
Asking for consent is still your step.
Within ten minutes the report is in your inbox, with the full transcript per speaker as an attachment. Up to 32 speakers, and Notuly understands more than 90 spoken languages.
Ready to anonymise and drop into your appendix.
The audio is deleted within a minute of processing. You keep the text, not the sound; Notuly keeps no archive.
No audio archive that can leak.
Full disclosure: Notuly takes away the typing, not your research. Anonymising (step 3) and coding (step 4) are yours, and Notuly has no dissertation-specific transcription forms; which form you follow is up to you. More about where your recording goes is on the security page.
Quotes for chapter 4 highlighted; review tomorrow with Sam
Notuly understands 90+ languages; your report comes in Dutch or English.
Speakers
Automatic speaker recognition, without storing any voices.

GDPR-compliant, EU hosting, no training on your data.
On all your devices
Meeting on Teams, Zoom or Google Meet? The desktop app takes the notes straight from your laptop. And the iPhone and Android apps capture every conversation on the go.
Fourteen days free
Starter & Pro: prices incl. VAT · Team & Enterprise: prices excl. VAT
The audio is deleted within a minute of processing. Once your report has been sent, we no longer hold your data. What we don't keep can't leak.
We work in line with:
ISO 27001.
We work in line with ISO standards. Our data servers run in an ISO 27001-certified data centre in Amsterdam.
You transcribe an interview by turning the recording into text, by hand or with software, and then anonymising and coding that text. Work in four steps: record with consent, transcribe, anonymise and analyse; transcribing is the fastest of the four.
For most dissertations, a clean read (also called intelligent verbatim) is enough: the same content in tidy sentences, without the 'ums' and false starts. Full verbatim transcription, including fillers and pauses, is for when the way something is said matters, for instance in conversation analysis; always check what your programme requires.
Typing up one hour of audio yourself easily takes four to six hours, so with eight to ten interviews that adds up to dozens of hours. Automatic software converts it in minutes, but you still have to check the transcript against the recording afterwards.
Usually not without explicit consent; use pseudonyms or role descriptions ('Respondent 1', 'a team leader'). Anonymising protects your respondents' privacy, and it is often a condition you agreed beforehand as well.
With anonymisation, the link to the person is irreversibly broken, so nobody can trace the respondent any more; that data falls outside the GDPR. With pseudonymisation you replace names but can still trace people through a key file or the audio, and the data remains personal data covered by the GDPR (source: the Autoriteit Persoonsgegevens, the Dutch data protection authority).
Yes, as long as you comply with the GDPR: if you use an external service for recordings that contain personal data, you need a data processing agreement (GDPR Article 28). Also check where your recording is processed, whether it is deleted, and whether they train on it.
Yes: for research you ask for explicit consent to record beforehand and set down how you will use and store the recording (informed consent). A voice plus a name already counts as personal data, so the rules apply the moment you record.
You code by attaching labels (codes) to text fragments and grouping them into themes. You usually move through open coding (assigning labels), axial coding (merging codes) and selective coding (building your storyline); thematic analysis is a common method for this (source: Scribbr).
You put the written-up, anonymised interviews in the appendix, so your supervisor can check your findings. In the main text you refer to them with quotes or paraphrases ('the interview with Respondent 1 showed that ...').
Qualitative research usually involves between five and twenty interviews, depending on the complexity of your topic and on when you reach saturation. Discuss the number with your supervisor; more interviews also means more transcribing and more analysis.
Automatic transcription is a good starting point, but not flawless: it stumbles over accents, specialist terms and words that sound alike. You always check the transcript against the recording before using it as research data (source: Eftekhari, 2024).
With Notuly you start free: three conversations a month, each up to 60 minutes of recording, no payment details needed. For a dissertation with a handful of interviews that often goes a long way; if you need more, Pro gives you unlimited conversations and unlimited recording length for a fixed monthly price. The current prices are higher up on this page.
It is processed on Dutch servers in Amsterdam; your data never leaves the EU. The audio is deleted within a minute of processing and your recordings are never used to train AI. You keep only the transcript; no audio archive is left behind.
All processing runs on Dutch servers and the audio is deleted within a minute of processing. A data processing agreement (GDPR Article 28) is available on Team and above. As the researcher you remain responsible for your respondents' consent and for the anonymising; no service can take those steps off your hands.
Yes. You keep the full transcript as text, per speaker. You anonymise it and put it in your appendix, so your supervisor can test your analysis against what was literally said.
Record your interview and get the transcript with the speakers in your inbox. The audio is deleted within a minute of processing; you keep the text for your appendix. Three conversations free, no payment details needed.