Automated AI Email Summarization and Labeling System - n8n Workflow

• High-Volume Email Users: Professionals or support staff drowning in daily correspondence.


• Automation Engineers: Individuals seeking robust examples of integrating LLMs (Large Language Models) like Gemini within a complex n8n workflow.


• Knowledge Managers: Users needing standardized summaries and organized logs in databases like Notion or Google Sheets.


• n8n Templates Seekers: Users looking for production-ready, multi-step n8n templates involving Gmail and AI services.

Managing a high volume of emails is time-consuming and inefficient. This powerful n8n workflow provides a solution by acting as a smart email agent. It uses an AI model to intelligently process every new incoming email—summarizing its content, identifying its core purpose, and suggesting a relevant category label (e.g., 'Finance', 'Project Update', 'Follow-up Required').

This robust n8n workflow ensures your inbox stays organized by automatically applying the suggested label in Gmail. Furthermore, it creates a searchable, centralized record by logging the summarized details into both a Google Sheet and a Notion database. This combination of automated labeling and centralized logging makes this a highly valuable n8n workflow for any professional.

This entire process is executed reliably using a single sophisticated n8n workflow:

1. Triggering the n8n workflow: The process begins with the On new Email n8n trigger, which monitors the Gmail inbox for new messages.


2. Data Extraction: The Process Email Data code n8n node cleans the incoming data, standardizing fields like sender information, date, subject, and intelligently extracting and cleaning the email content (stripping HTML and truncating if necessary).


3. AI Analysis: The cleaned data moves to the AI Email Analyzer n8n node (a LangChain Agent). This node passes the email content, along with a complex prompt and pre-defined category options, to the connected Google Gemini model. It demands a structured JSON output containing the summary, suggested label, and priority.


4. Parsing Output: The Structured Output Parser guarantees the AI's response is formatted correctly, ensuring downstream n8n nodes receive clean data.


5. Label Provisioning: The n8n workflow attempts to Create Gmail Label based on the AI's suggestion. This n8n node is configured to continue if the label already exists.


6. Label ID Retrieval: The Label Agent n8n node uses the Get Label tool (which fetches all existing Gmail labels) to intelligently map the AI's suggested label name to the correct Gmail Label ID.


7. Email Tagging: The Add Label to Email n8n node uses the retrieved Label ID and the original message ID to finalize the organization task in Gmail.


8. Logging and Documentation: Finally, the categorized and summarized data is simultaneously appended to the Logs in Google Sheets n8n node and logged as a new page entry in the Logs in Notion n8n node, completing this comprehensive n8n workflow automation.

To install and utilize this high-value n8n workflow, follow these steps:

1. Import the n8n Templates: Copy the provided JSON code and paste it into your n8n instance using the 'New' button, then 'Import Workflow from JSON'.


2. Gmail Credentials: You will need a Gmail OAuth2 credential setup for the Gmail Trigger and the other Gmail nodes (Create Gmail Label, Get Label, Add Label to Email). Ensure the scope allows reading emails and managing labels.


3. LLM Configuration: Configure the Google Gemini Chat Model node with your Google PaLM API key credential.


4. Notion Setup: Create a Notion database specifically for email summaries and configure the Logs in Notion n8n node with the correct Database ID and your Notion API credential. Ensure property names match the workflow's data structure (e.g., 'Subject|title', 'Summary|richtext', 'Label|multiselect').


5. Google Sheets Setup: Link the Logs in Google Sheets n8n node to your desired Google Sheet document and configure the corresponding Google Sheets OAuth2 credential.


6. Activate: Save the n8n workflow and toggle it to 'Active' to start monitoring for new emails.

On new Email (Gmail Trigger n8n node): The starting point of this automation. It polls the inbox to detect new messages.
Process Email Data (Code n8n node): Essential for data hygiene. This custom n8n node scripts the extraction of sender details, formatting of the date, and crucial stripping of HTML tags from the email body, limiting the content length sent to the AI.
AI Email Analyzer (LangChain Agent n8n node): The core intelligence. It uses a detailed system prompt to analyze the email, generate a comprehensive summary, and suggest a category label from a strict list, using the connected Gemini model.
Structured Output Parser (LangChain Output Parser n8n node): Ensures the AI's response adheres strictly to the required JSON schema, preventing downstream failures in the n8n workflow.
Create Gmail Label (Gmail n8n node): Attempts to create the new label suggested by the AI. Crucially set to 'Continue on Fail' so the n8n workflow doesn't stop if the label already exists.
Label Agent (LangChain Agent n8n node): A specialized agent that uses the Get Label Gmail tool to translate the human-readable label name (from the AI) into the required internal Gmail Label ID.
Add Label to Email (Gmail n8n node): Executes the final action in Gmail, applying the correct, automatically determined label to the email using the retrieved Label ID.
Logs in Google Sheets (Google Sheets n8n node): Appends key data (Date, Subject, Summary, Label) to a specified spreadsheet, providing structured backup and reporting.

• Logs in Notion (Notion n8n node): Creates a new database page to log the summarized content and metadata, ideal for knowledge base integration.