fireflies

To search meeting transcripts offline, you can store and query your transcript history locally using SQLite. This enables fast retrieval of specific conversations, action items, and topics across extensive archives while maintaining data privacy.

Yes, you can perform sentiment analysis and engagement tracking across past meeting transcripts. By leveraging local historical data, you can generate cross-meeting analytics to identify participant engagement levels, common themes, and sentiment trends over time.

Yes, you need SQLite and Python-based PDF parsing libraries to analyze meeting transcripts locally. These dependencies are required to enable the full capabilities of local storage, offline search, and detailed transcript analysis functionalities.

The best way to export meeting summaries and action items for stakeholder updates is to query your local transcript database for specific topics, then use the built-in export functionalities. This allows you to extract recurring feature requests and sentiment data directly.

To list action items from meeting transcripts over the past month, you can run a command-line query such as 'fireflies-pp-cli action-items list --from 30' against your locally stored transcript archive to retrieve the relevant historical data.