Using STT for Meeting Transcripts, Action Items, and Auto-Summarization
Blog post from Deepgram
The article outlines the development of a Meeting Insights App by integrating Deepgram's Nova-3 Speech-to-Text (STT) model with OpenAI's GPT-5 Large Language Model (LLM) to provide comprehensive meeting transcripts, action items, and summaries. By leveraging Deepgram's accurate transcription capabilities, including speaker diarization and timestamping, the app processes uploaded meeting recordings to produce readable transcripts. These transcripts are then analyzed by GPT-5 to generate structured meeting insights, such as overviews and bullet-point notes. The app is built using Flask and features a user-friendly web interface for uploading recordings and viewing results. The article also suggests potential enhancements for a production-ready solution, such as integrating directly with popular meeting platforms, using automated bots to record meetings, or developing browser extensions for seamless recording and analysis, thereby transforming meetings into actionable insights with minimal manual effort.
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