Meetily Automation

Export meeting summaries from Meetily to Confluence.

How It Works

Reads directly from the Meetily's SQLite database - no server required, only the Meetily app installed locally.

Database Location:

• Windows: %APPDATA%\com.meetily.ai\meeting_minutes.sqlite
• macOS: ~/Library/Application Support/com.meetily.ai/meeting_minutes.sqlite
• Linux: ~/.local/share/com.meetily.ai/meeting_minutes.sqlite

Installation

Create and activate a virtual environment, then install dependencies.

python -m venv venv

Activate it:

Windows (PowerShell):

venv\Scripts\Activate.ps1

macOS / Linux:

source venv/bin/activate

pip install -r requirements.txt

Configuration

1. Create config from template:

   python main.py init
   mv .env.example .env

2. Edit .env:

   CONFLUENCE_URL=https://your-domain.atlassian.net
   CONFLUENCE_USERNAME=your-email@example.com
   CONFLUENCE_API_TOKEN=your-api-token
   CONFLUENCE_SPACE_KEY=MEET
   

Get Confluence credentials:

• API Token: https://id.atlassian.com/manage-profile/security/api-tokens (Create API token)
• Space Key: From URL https://domain.atlassian.net/wiki/spaces/MEET/...

Usage

# List all meetings in the database
python main.py list

# Export specific meeting to Confluence
python main.py export --meeting-id abc123

# Save to a JSON file for debugging (without Confluence)
python main.py scrape

Files

automation/
├── main.py               # CLI
├── db_scraper.py         # SQLite database reader
├── confluence_exporter.py # Confluence API service
├── config.py             # Configuration
└── requirements.txt

Remarks

• This is a prototype, so it is not fully finished and still has flaws.
• Currently working on creating a user friendly CLI.
• Using the Import Audio feature after recording a meeting to transcribe a audio file with the strongest available model seems to be better than live transcription (for now).