NoteMate

Transcription for Qualitative Research

Purpose-built for researchers: accurate, secure transcription for interviews, focus groups, and academic studies.

Interview Transcription

Automated, high-accuracy transcription for 1:1 interviews, academic interviews, and expert consultations.

Coding-Ready Exports

Export transcripts in formats compatible with NVivo, Atlas.ti, and other qualitative analysis tools.

Focus Groups

Multi-speaker transcription with automatic speaker identification for group discussions and panel studies.

Multi-Speaker Support

Distinguish between up to 10 speakers in a single session with customizable speaker labels.

Built for Qualitative Analysis

Qualitative Analysis Ready

Transcripts formatted for easy coding and thematic analysis workflows.

Timestamp Navigation

Jump to specific moments in audio/video with clickable timestamps linked to transcript text.

Speaker ID

Automatic speaker detection with manual override options for precise labeling.

Ready to streamline your research?

Join researchers worldwide using NoteMate for accurate, secure transcription.

Frequently Asked Questions

Yes, NoteMate complies with GDPR and stores data securely with end-to-end encryption. We offer data processing agreements (DPAs) for institutional research requirements.

Yes, export to TXT, DOCX, SRT, or CSV compatible with NVivo, Atlas.ti, Dedoose, and other qualitative analysis platforms.

Accuracy is high on clear audio — most researchers correct nothing. Errors cluster around strong accents, poor room audio, crosstalk and specialist terminology, which is exactly the vocabulary a research interview is full of, so read the transcript before you quote from it. Every line is editable, each one links back to the moment in the audio it came from, and regenerating the summary picks up your corrections.

Yes. Transcription covers 99 languages and the spoken language is detected automatically, so there's nothing to configure before you upload. The same speech models handle every language — there are no dialect-specific or subject-specific models — so accuracy depends on recording quality and how much specialist terminology the interview contains. Speaker labels are available in fewer languages than transcription itself.

The free tier includes 300 minutes of transcription per month with a 60-minute cap per recording — once you reach the limit, transcription pauses until your minutes reset the next month. The Academic Year plan removes the monthly limit entirely, subject to fair use, and allows longer individual recordings.