meeting-insights-analyzer

Meeting transcript analysis detects filler words, computes speaking time ratios, and counts interruptions by processing txt, md, vtt, srt, or docx files. It extracts timestamped examples and summarizes communication patterns across single or multiple meetings.

Conflict avoidance detection in meeting transcripts identifies hedging language, question versus statement ratios, and speaker dominance patterns. The analysis provides specific behavioral examples with context on why it matters and suggests a better approach for facilitation improvement.

Transcript analysis supports vtt and srt subtitle formats, automatically detecting and extracting speaker labels and timestamps when present. This allows accurate identification of interruptions, turn length, and individual speaking ratios across the meeting.

Tracking communication trends over time compares multiple meeting transcripts to highlight behavioral changes in interruptions, hedging, and facilitation quality. It generates timestamped feedback with specific examples to support coaching and performance reviews.

Extracting actionable feedback from raw meeting transcripts involves identifying behavioral signals like sentiment patterns and speaker dominance, then mapping them to structured outputs with specific examples to improve clarity, listening, and meeting effectiveness.

Analysis of meeting transcripts without speaker labels or timestamps limits the ability to compute individual speaking ratios, identify specific interruptions, and extract accurate turn lengths, reducing the precision of behavioral feedback and dominance detection.