audio recorder for qualitative research interviews
Captures every participant's voice. No bot, no disruption, IRB-consent ready.
Plaud NotePin S is the wearable audio recorder for qualitative research interviews that sits quietly on your lapel or lanyard while participants speak naturally. Walk out of every session with a full AI transcript in 112 languages, ready for thematic coding and structured data export. No recording bot, no phone on the table, no workflow friction.
Trusted by 2M+ users globally since 2023
What a wearable audio recorder for qualitative research does differently
Every research conversation captured. No disruption. No device on the table.
Plaud NotePin S is the wearable audio recorder for qualitative research interviews that records participant conversations without a phone face-up on the table or a bot joining a call. Traditional recorders like Sony ICD-UX570 and Zoom H1n capture clean audio but leave you with a file and hours of manual transcription. Plaud NotePin S clips to your lanyard or lapel, captures everything at close range, and delivers a speaker-labeled AI transcript ready for coding before you leave the field.
3 artifacts, ready when the session ends
Speaker-labeled transcript
Every word captured and attributed by speaker. Timestamped and exportable for qualitative analysis or IRB documentation.
AI research summary
Key themes, participant statements, and session structure extracted automatically from the conversation.
Coding-ready export
Structured transcript exportable to NVivo, Atlas.ti, Dovetail, or plain text. No reformatting, no manual re-entry.
Works across every qualitative research format
Plaud NotePin S clips to your lanyard or lapel. No phone on the table and no attendee list entry.
Workflow fit
Is Plaud NotePin S the audio recorder for qualitative research interviews that fits your workflow?
PhD students and field researchers on Reddit ask about audio recorders that go beyond phone recording for long interviews, especially for multilingual sessions. Plaud NotePin S was built for exactly that context. Check whether it fits your research setup.
