transcribtxt
For researchers

Transcribe research interviews to text

Upload your interview recording. Get a text transcript in minutes instead of hours. Free for up to 5 interviews per month.

Files deleted after processing · 99 languages · No sign-up required for free plan

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MP3WAVM4AFLACOGGAACmax 2 GB

The time math

A peer-reviewed study (NIH, 2024) confirmed manual transcription takes 3–10 hours per interview hour.

3–10 hours saved per interview

Manual transcription of a 60-minute interview takes 3–6 hours at professional speed. Automated transcription takes 5 minutes. You spend the remaining time reviewing, not typing.

Deleted after transcription

Your recording is removed from servers the moment the transcript is ready. IRB-sensitive data doesn't persist on third-party infrastructure. Suitable for most qualitative research protocols.

94–97% accuracy on clear recordings

Powered by ElevenLabs Scribe v2. Individual interviews with one or two speakers transcribe with accuracy comparable to professional human transcriptionists.

Export and edit in Word

Download the transcript as TXT and open it in Word or Google Docs. Add speaker labels, clean up errors, and format for your NVivo, MAXQDA, or Atlas.ti import.

Questions from researchers

How long does it take to transcribe a research interview?

A 60-minute interview transcribes in about 5-6 minutes. TranscribTxt processes audio at roughly 10x real-time speed. You can start reviewing the beginning of the transcript while the rest is still being processed.

Is my interview data kept private?

Yes. Your audio file is deleted from TranscribTxt servers immediately after the transcript is generated. We do not store recordings, share them with third parties, or use them for AI model training. The transcript itself is only accessible to you.

How accurate is automated transcription for research interviews?

On a clear one-on-one interview recording, TranscribTxt achieves 94-97% accuracy. Accuracy drops on multi-speaker recordings with overlapping speech, recordings with heavy background noise, or strong regional accents. Budget 20-30 minutes of review time per hour of audio to correct errors before using the transcript in research.

Can I cite a machine-generated transcript in academic research?

You can use the transcript as a working document and cite your primary source (the original interview). Most institutions require researchers to review and verify automated transcripts before treating them as research data. TranscribTxt gives you an accurate draft — you review it for errors.

What file formats work for research audio?

MP3, WAV, M4A, FLAC, and OGG all work. WAV is the most common format from digital voice recorders used in field research. MP3 is fine for most purposes. For sensitive interviews, WAV at 48kHz gives the best transcription accuracy.