Free tool
Academic transcription
Drop in a research recording for free academic transcription: interviews, oral histories and seminars come back as text with a time on every paragraph, ready to check, code and quote.
- Free
- Times for coding and quotes
- Nothing is stored
Drop your research recording here, or Choose your research recording
MP3, M4A, WAV, AAC, FLAC, OGG or WebM. Up to 30 minutes of each file, 3 free files a day. The language is detected automatically.
Working with participant recordings? NoteOwl transcribes them on your Mac with unlimited transcription, labels each speaker and uploads nothing.
How it works
How do you transcribe a research recording?
Drop the recording on the converter. It splits the audio at pauses, transcribes it piece by piece and sets the text out in timed paragraphs. Download the Word file, check it against the audio, then add speaker codes and pseudonyms before analysis.
- 1
Add the recording
A WAV or MP3 from a field recorder, an M4A from a phone, or the MP4 of a research interview held online.
- 2
Let it transcribe
It works through the first 30 minutes of each file, showing the text with times as it goes.
- 3
Prepare it for analysis
Save it as Word, check it, then replace names and mark who speaks.
Is an online converter suitable for participant recordings?
That depends on where your data management plan lets recordings go. Here, short pieces of sound pass to a cloud AI transcription service that transcribes and discards them, and NoteOwl stores nothing. When recordings must stay on your own computer, NoteOwl on a Mac uploads nothing.
Which transcript style does qualitative research need?
Usually one of two. Thematic and content analysis work from clean verbatim: every meaningful word, without the ums. Conversation and discourse analysis need full verbatim, with pauses, overlaps and false starts marked. The converter supplies the words and paragraph times; the conventions are yours to add.
- Clean verbatim
- What it keepsEvery meaningful word; fillers and repeats dropped
- Typical useThematic analysis and most thesis projects
- Full verbatim
- What it keepsFillers, false starts, pauses, laughter and overlaps
- Typical useConversation and discourse analysis
- Timestamped summary
- What it keepsKey points and the time each one occurs
- Typical useSurveying a large collection before choosing what to transcribe in full
| Style | What it keeps | Typical use |
|---|---|---|
| Clean verbatim | Every meaningful word; fillers and repeats dropped | Thematic analysis and most thesis projects |
| Full verbatim | Fillers, false starts, pauses, laughter and overlaps | Conversation and discourse analysis |
| Timestamped summary | Key points and the time each one occurs | Surveying a large collection before choosing what to transcribe in full |
How do you prepare a transcript for coding?
Check it against the recording first, then make it consistent: one speaker code per turn, pseudonyms in place of names, and the paragraph times kept, so any coded passage can be traced back to its place in the audio.
- 1
Check while listening
Play the recording at normal speed and correct names, terms and anything misheard. The times take you straight to a passage.
- 2
Code the speakers
Put I: before the interviewer’s turns and P01:, or a pseudonym, before the participant’s.
- 3
Replace identifying details
Search the Word file for each name, place and employer, and swap in your pseudonyms everywhere at once.
- 4
Import it for analysis
Most qualitative analysis programs take Word documents, and the times stay in the text.
Which research recordings can you transcribe?
Anything spoken and saved as audio or video: semi-structured interviews, oral history sessions, seminars, conference talks and fieldwork in other languages. Speech recorded close to the microphone transcribes best, so put the recorder nearer the participant than yourself.
Oral history
Sessions often run past 30 minutes, so transcribe them in parts. Digitised cassettes work as WAV or MP3, and steady tape hiss between answers isn’t sent.
Thesis research
At 3 files a day, spread a thesis set over several days, starting with the interviews you expect to quote most.
Seminars and talks
Questions from the floor may be faint. Note who asked what, and when, during the session.
Fieldwork in other languages
The language is detected from the speech, so interviews in Spanish, Hindi or Polish come back in their own language. Translation is a separate step.
Keeping participant recordings on your own Mac?
NoteOwl transcribes research recordings on your Mac with unlimited transcription and uploads nothing. It labels each speaker, keeps a whole study searchable, and its Research template sets out the questions, findings and evidence. See how researchers use it.
For product and UX studies, the user interview template shows the same structure on one page.
FAQ
Questions about academic transcription
Is this academic transcription free?
Yes, and there’s no account. Transcribe 3 recordings a day, up to 30 minutes of each, with the Word, text and subtitle downloads included.
Can I use it for my thesis interviews?
Yes. Download each transcript as Word, check it against the recording, then add speaker codes and pseudonyms. The paragraph times let you cite a quote by its place in the recording, and let your supervisor find it.
Does it remove names or identifying details?
No. It writes what was said, names included. Replace them yourself with find and replace in Word once the transcript is checked, so every mention changes at once.
Does it mark pauses, laughter and overlapping speech?
Not with transcription symbols. It writes the words and starts a new paragraph after a pause of a second and a half or more. For full verbatim conventions, add the marks while you check the text against the audio.
Can it transcribe an oral history interview that lasts two hours?
In parts. Each file is transcribed up to 30 minutes, so split the recording and transcribe the parts in order; each part’s times start at zero. NoteOwl on a Mac takes the whole session in one go.
Where does a research recording go while it’s transcribed?
Short pieces of its sound travel over a secure connection to a cloud AI transcription service, which transcribes and discards each one. NoteOwl stores no audio and no transcript.
How accurate is it for academic work?
On clear speech, close to word for word. Discipline terms, participants’ names and quiet asides are the likeliest errors, so a careful listen-through stays part of the method, as with any transcript.
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Related
- AI note taker for researchersUser interviews transcribed speaker by speaker, past recordings imported, searchable and askable across a study; nothing uploaded
- User interview templateA user interview template to copy, what each section holds, an example, and how NoteOwl writes research notes from a user interview
- Speaker recognitionTranscripts that say who said what: speakers separated automatically, and a voice named once is recognised in later meetings, on your Mac
Research recordings into text, on your own Mac
Free to download. Runs entirely on your Mac.
macOS 26 or later · Apple Silicon (M1 or newer) · 16 GB memory minimum, 24 GB recommended
About NoteOwl
NoteOwl is private AI meeting notes and memory for the Mac. It captures meetings without a bot joining the call, labels every speaker, writes summaries and action items, and builds a memory of every conversation that you can chat with — fully offline, because the speech recognition and the AI run on the Mac itself. Dictation into any app is free; Pro is a one-time purchase.
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