Ollama Document Analysis → Notion Database → Email Digest
Automatically analyze uploaded documents with local AI, extract key insights into a Notion database, and send weekly summary emails to stakeholders.
Workflow Steps
Zapier
Monitor file uploads
Set up a Zapier trigger to watch for new file uploads in Google Drive, Dropbox, or email attachments. Filter for document types like PDF, DOCX, or TXT files.
Ollama
Extract document insights
Send document content to Ollama running a model like Llama 2 or Mistral. Configure prompts to extract key topics, sentiment, action items, and important dates or numbers.
OpenAI GPT-4
Structure the analysis
Pass Ollama's raw analysis to GPT-4 via API to structure the insights into consistent JSON format with categories like 'Summary', 'Key Points', 'Action Items', and 'Priority Level'.
Notion
Create database entry
Use Notion's API to automatically create a new page in your Document Analysis database with structured fields for title, summary, tags, priority, and extracted insights.
Gmail
Send weekly digest
Configure a weekly Zapier schedule to query Notion's database for new entries, compile them into a formatted email digest, and send to your stakeholder list via Gmail.
Workflow Flow
Step 1
Zapier
Monitor file uploads
Step 2
Ollama
Extract document insights
Step 3
OpenAI GPT-4
Structure the analysis
Step 4
Notion
Create database entry
Step 5
Gmail
Send weekly digest
Why This Works
Combines Ollama's privacy benefits with cloud tools for distribution, creating a hybrid approach that keeps sensitive analysis local while enabling team collaboration
Best For
Legal teams, consultants, or researchers who need to process and track large volumes of documents while keeping data private
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