We love seeing users leveraging Canvs AI, especially Asa / AI Story Assist, to quickly summarize Transcripts and compare major themes across respondents or other respondent metadata.
Current Import Process
Prepare your transcript data Format as XLSX, CSV, VTT, or ZIP file containing multiple transcripts
For XLSX/CSV: Organize responses in rows with columns for role, speaker, and timestamp
For VTT: Ensure proper formatting with timestamps and speaker identification
For ZIP: Include properly formatted transcript files (XLSX, CSV, or VTT)
Analyze your transcripts Use Asa to summarize sessions by respondent
Ask Asa questions about specific sessions or overall themes
Compare insights across different segments or demographics
Supported File Formats
XLSX/CSV - Standard spreadsheet formats
Each row represents a single response/utterance
Required columns: speaker name, response text
Recommended columns: timestamp, role, session ID
VTT (WebVTT) - Video Text Tracks format
Standard caption/subtitle format used by video platforms
Automatically preserves speaker identification and timestamps
Can be exported directly from most transcription services
ZIP Archives Contains multiple transcript files (XLSX, CSV, or VTT)
Each file is processed as a separate session
File names are used as session identifiers
Useful for batch processing multiple interview sessions
Coming Soon: Enhanced Transcript Support
We're developing a streamlined transcript analysis workflow with these upcoming features:
Dedicated transcript import process with specialized handling for conversation data
Native VTT file support for direct import without conversion
Intelligent session and role detection during the import process
Automated timestamp recognition for chronological analysis (starting with VTT files)
Batch import capability for processing multiple transcript files simultaneously
Tailored Asa conversation starters optimized for transcript analysis
How to Provide Feedback
We're actively improving our transcript handling capabilities based on your needs:
Chat with our product team via the chatbot in the bottom left corner of your screen
Reach out to your dedicated Customer Success Manager
Share specific use cases that would benefit your transcript analysis workflow