We built Speaker Analyzer to solve a simple problem: after long video meetings, I wanted to know who actually spoke, for how long, and how the conversation was distributed. I found myself wondering "did I dominate the conversation?" or "who barely spoke up?" With remote teams using Teams, Zoom, and Google Meet, I can now export these transcript files and easily analyze participation patterns.
What we built:
A privacy-first tool that turns your meeting transcript files (*.vtt) into actionable speaker insights in seconds. Just drag & drop your transcript file and instantly see: - Speaking time per person - Word counts and participation percentages - Turn-taking patterns - Visual breakdowns and charts - Most active / least active participants - Export to CSV/JSON (premium)
As far as privacy: - Files are processed in-memory and never stored - Only encrypted speaker names and analytics are saved - No transcript text is retained
Sample output: https://www.speakeranalyzer.com/sample-transcript-analysis.p...
Try it: https://speakeranalyzer.com
I'd love feedback on: - What other metrics would be useful? - Any other meeting platforms to support? - UI/UX improvements
Happy to answer questions about the implementation or privacy approach!