Scientific transcription workflow
Academic workers can establish the following efficient research processes:
- Batch processing:Paid users can upload up to 50 interview recordings at the same time, which is suitable for large-scale data collection in qualitative research.
- Key information extraction:Use the timestamp function to locate important discourse fragments, together with the tagging function to mark research topics
- Multi-dimensional output:Simultaneous generation of transcripts (TXT) and timeline annotations (DOCX) for subsequent coding analysis
Extended application: For cross-country comparative studies, the transcription function can be used to obtain the original text before translating and comparing the differences in the expressions of respondents in different languages.
This answer comes from the articleTurboScribe: Online tool to quickly convert audio and video to textThe
May not be reproduced without permission:AI productivity tools " How can TurboScribe be applied to achieve efficient analysis of interview recordings in academic research?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil