Automated interview transcription
All ten one-hour interviews were transcribed through Speak AI, eliminating the 40-60 hours of manual transcription work. Karen had accurate text versions of every conversation ready for analysis.
Karen Schulman Dupuis used Speak AI to transcribe and analyze ten one-hour interviews for her master’s thesis, saving significant time on transcription and using AI-powered insights for thematic grouping across her qualitative research.
Karen Schulman Dupuis was completing her master’s thesis and had conducted ten one-hour interviews as the foundation of her qualitative research. That is over 600 minutes of recorded conversation that needed to be transcribed, organized, analyzed, and incorporated into her thesis.
For graduate students, transcription is one of the most time-consuming aspects of qualitative research. A single hour of interview audio typically requires four to six hours of manual transcription. For ten interviews, Karen was looking at 40 to 60 hours of transcription work before she could even begin analysis. Beyond transcription, she needed to identify themes across all ten interviews, group findings thematically, and export the data in formats suitable for her thesis writing process.
Karen used Speak AI to automate the transcription and analysis of her interview data, transforming weeks of manual work into a streamlined research workflow.
All ten one-hour interviews were transcribed through Speak AI, eliminating the 40-60 hours of manual transcription work. Karen had accurate text versions of every conversation ready for analysis.
Speak AI’s analysis tools helped Karen identify themes across her interviews and group findings thematically. This systematic approach to qualitative coding accelerated the analysis phase of her research.
Transcripts were exported directly into PDF format, giving Karen clean documents that could be annotated, highlighted, and referenced during the thesis writing process.
By automating transcription and leveraging AI for thematic analysis, Karen dramatically reduced the time and cost of her qualitative research process, allowing her to focus on interpretation and writing.
Graduate research does not have to be bottlenecked by transcription: Automated transcription freed Karen from 40-60 hours of manual work, letting her invest that time in analysis and writing instead.
AI-powered thematic grouping accelerates qualitative analysis: Instead of manually coding transcripts line by line, Speak AI helped surface themes and patterns across all ten interviews, making the analysis process faster and more systematic.
Export flexibility matters for academic work: The ability to export transcripts as PDFs meant Karen had clean, printable documents ready for annotation and reference during her thesis writing.
Students and independent researchers benefit from accessible AI tools: Speak AI made professional-grade transcription and analysis accessible to an individual researcher without requiring institutional resources or expensive transcription services.
Whether you are a graduate student, academic researcher, or qualitative analyst, Speak AI helps you transcribe interviews, analyze themes, and export findings so you can focus on what matters: your research. Book a demo or start exploring the platform today.
Create a free account and start a 7-day trial. Upload your interview recordings, get automated transcripts, explore thematic analysis, and export to PDF.
Talk to our team about your research needs. We will walk through how transcription, thematic analysis, and export tools can support your qualitative research workflow.