Capture every interview and find the patterns
User researchers and interviewers run dozens of conversations and need to find themes across all of them — but transcription tools leave you with a pile of disconnected documents.
macOS app · Windows & Linux coming soon
Built for how researchers actually work
Wisprnote AI transcribes every interview with speakers separated, extracts the themes and key moments, and connects them in a knowledge graph so patterns surface across studies. Ask questions across every interview and get cited answers.
What you'll lean on most
Meeting Transcription
Accurate, speaker-aware transcription in any language.
Knowledge Graph
See how everything connects.
Meeting Chat
Ask your meetings anything — and get the receipts.
Meeting Search
Search across every meeting you have ever had.
Explore these features
Wisprnote for researchers, step by step
- 1Record or upload each interview — any language
- 2Get speaker-separated transcripts and extracted themes
- 3See how topics connect across interviews in the knowledge graph
- 4Ask "what did participants say about onboarding?" with citations
Frequently asked questions
What is the best AI tool for research interviews?
Wisprnote AI transcribes interviews with speaker separation in any language, extracts themes, connects them across studies in a knowledge graph, and answers questions across every interview with citations.
Can Wisprnote find patterns across many interviews?
Yes. The knowledge graph and cross-meeting chat surface themes and connections across all your interviews, not just within one.
More use cases
Wisprnote AI for researchers.
Record the meeting. Wisprnote handles the rest — free to start on macOS.