Meeting Summary and Action Item Extraction
Structured meeting notes and action items delivered minutes after the call ends.
The Problem
Automatically record virtual meetings, transcribe them, and generate a structured summary with next steps.
Expected Outcome
Structured meeting notes and action items delivered minutes after the call ends.
Tool Chain
Implementation Steps
- 1
Audio Recording and Ingestion
The meeting audio is recorded (e.g., Zoom/Teams) and uploaded to the transcription API.
- 2
High-Accuracy Transcription
Whisper API transcribes the audio, accurately handling multiple speakers (diarization).
Whisper (OpenAI API) - 3
LLM Summarization and NLU
The transcript is fed into a large language model to extract key decisions, action items, and a summary.
- 4
Notes Formatting and Delivery
The structured notes are formatted and delivered to email/Slack or pushed to a project management tool.
Alternatives
Built-in intelligence features (summarization, sentiment) can be faster than external LLM.
Cost Impact: N/A
Export Workflow
Coming SoonSoon you’ll export this stack to Zapier, n8n, or a starter repo with presets (env vars, webhooks, rate limits).