Generate meeting minutes from videos with Whisper, Ollama LLM and Notion

Automated Meeting Minutes from Video Recordings

This workflow automatically transforms video recordings of meetings into structured, professional meeting minutes in Notion. It uses local AI models (Whisper for transcription and Ollama for summarization) to ensure privacy and cost efficiency, while uploading the original video to Google Drive for safekeeping. Ideal for creative teams, production reviews, or any scenario where visual context is as important as the spoken word.

🔄 How It Works

1. Wait & Detect: The workflow monitors a local folder. When a new .mkv video file is added, it waits until the file has finished copying. 2. Prepare Audio: The video is converted into a .wav audio file optimized for transcription (under 25 MB with high clarity). 3. Transcribe Locally: The local Whisper model generates a timestamped text transcript. 4. Generate Smart Minutes: The transcript is sent to a local Ollama LLM, which produces structured, summarized meeting notes. 5. Store & Share: The original video is uploaded to Google Drive, a new page is created in Notion with the notes and a link to the video, and a completion notification is sent via Discord.

⏱️ Setup Steps

Estimated Time: 10–15 minutes (for technically experienced users). Prerequisites: Install Python, FFmpeg, and required packages (openai-whisper, ffmpeg-python). Run Ollama locally with a compatible model (e.g., gpt-oss:20b, llama3, mistral). Configure n8n credentials for Google Drive, Notion, and Discord. Workflow Configuration: Update the file paths for the helper scripts (wait-for-file.ps1, createwav.py, transcribereturn.py) in the respective "Execute Command" nodes. Change the input folder path (G:\OBS\videos) in the "File" node to your own recording directory. Replace the Google Drive folder ID and Notion database/page ID in their respective nodes.

> 💡 Note: Detailed instructions for each step, including error handling and variable setup, are documented in the Sticky Notes within the workflow itself.

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