Transcribe Interviews for NVivo

Upload an interview, check who said what against the audio, and export a Word or text transcript to take into your coding software.

Upload an audio file to get started.

MP3, WAV, M4A, AAC, OGG, FLAC, AMR, WMA

Or paste an audio link

YouTube, TikTok, Instagram, Vimeo, Google Drive, Dropbox, direct links

Recordings are encrypted in transit and at rest and are not used to train AI models. Privacy · Security

Get an Interview Ready for Coding Software

Before you can code an interview, the words have to be on the page, each speaker turn has to carry a label, and the file has to be one your software opens. That first stage is slow when you type it yourself and fiddly when a transcript arrives as one block of unlabeled text.

ScreenApp does that stage. Upload the recording and you get a transcript with a label for every speaker and timestamps you can click. You correct it, then export it. ScreenApp does not code your data, and there is no direct link to NVivo: you export a file and import it yourself.

Speaker Labels

ScreenApp adds speaker identification, so interviewer and participant turns are separated.

Check Against the Audio

In ScreenApp, clicking a moment in the transcript jumps the player to that point in the recording.

Fix It Before Export

ScreenApp supports transcript corrections, line removal and speaker reassignment saved to the recording.

Files You Can Export

Download the transcript as PDF, DOCX, TXT, SRT and VTT.

How the Hand-Off to Your Coding Software Works

The work splits cleanly in two, and only one half happens here.

In ScreenApp

Prepare the transcript

You upload the recording, review the speaker labels, correct names and terms, and export the file. Everything stays tied to the recording, so a doubtful line can be checked in seconds.

In Your Software

Code and interpret

You import the exported file and do the coding, themes and analysis there. The interpretation stays with you, and so does the choice of what your software accepts.

How to Use It

  1. Add the interview. Upload the audio or video file, or paste a link, using the box at the top of this page.
  2. Review the speakers. You can click a speaker label to rename it, match it to a team member, or reassign a single segment, so “Speaker 1” becomes “Interviewer” or a participant code.
  3. Export the transcript. Choose DOCX or TXT, then check your coding software’s help for the import format it expects.
Tip

Settle the labels before you export

1

Pick a code scheme

Interviewer and P01, P02, and so on.

2

Rename each speaker

One change updates the whole transcript.

3

Spot-check the audio

Play two or three lines from each speaker.

For specialist terms and participant place names that the first pass gets wrong, set up custom vocabulary for transcription.

What You Can Do With It

A single interview

Upload one recording, label the two speakers and export a clean transcript for coding.

A set of interviews

ScreenApp supports bulk upload of multiple files, so a whole round of fieldwork goes through the same steps.

A focus group

Separate several participants and the moderator, then rename each speaker to a code.

A recorded video call

Bring in an online interview recorded as video and work from the same transcript.

This tool is one of the research interview tools, built around a recording, a transcript and the questions you ask of it.

To compare options for getting transcripts into NVivo, read the NVivo Transcription comparison.

Questions to Ask After the Transcript Is Ready

The transcript is only the first stage, but the app chat can help you get your bearings in a long interview before you start coding.

Which speaker is the interviewer, and which turns are the participant?
Where does the participant first talk about leaving the job?
List every place name and organization mentioned, with timestamps.
Which questions from my guide did this interview not cover?
Show the exact words the participant used about their manager.

What It Can and Cannot Do

Good at

  • Turning a recording into a transcript with speaker labels and timestamps
  • Letting you correct the text and check it against the audio
  • Exporting a file you can take into your own software

Not built for

  • Coding, themes or a codebook: ScreenApp does not provide qualitative coding
  • A direct import into NVivo, ATLAS.ti or MAXQDA, because there is no integration
  • Promising a perfect transcript: poor audio and overlapping speech need a human check

Who Uses It

Graduate researchers who have a stack of interview audio and a deadline for transcription.

Academic research teams who want every interview labeled the same way before coding starts.

UX and market researchers who run interviews on video calls and need a transcript they can import elsewhere.

Evaluators and consultants who work with participants on the ground and need the words, not a summary.

FAQ

Does ScreenApp connect directly to NVivo?

No. There is no integration. You export the transcript as DOCX or TXT and import it into NVivo yourself.

Which format should I export for NVivo?

ScreenApp exports DOCX and TXT, among others. Which one works best depends on your NVivo version and project setup, so check NVivo's own import help before you load a large batch. Try one interview first.

Can ScreenApp code my interviews?

No. It does not provide qualitative coding, a codebook or theme analysis. It prepares the transcript so you can do that work in your coding software.

Are the speaker labels always right?

Not always. Overlapping voices and poor audio cause mistakes. Check them against the recording and rename or reassign where needed.

Is my interview data private?

Files are encrypted with AES-256 and are not used to train AI models. Follow your own ethics approval and consent terms for how recordings are stored and shared.

Can I transcribe interviews in another language?

ScreenApp covers 100+ languages as a documented minimum. That figure is coverage, not a promise of equal accuracy in every language, so review the result.

Real Results from Real Users

works like a charm, notes have been super helpful alongside chat function. loveeeee
KS
Katharine Suy
Chrome Web Store, October 17, 2024
nice app for important summary
S
SAHIL
Google Play, January 30, 2026

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