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Summarize your emails with A.I. (via Openrouter) and send to Line messenger

Keith RumjahnKeith Rumjahn
4863 views
2/3/2026
Lead GenerationWebhookHubSpotSalesforceCRM
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Who is this template for?

  • Anyone who is drowning in emails
  • Busy parents who has alot of school emails
  • Busy executives with too many emails

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Case Study

I get too many emails from my kid's school about soccer practice, lunch orders and parent events. I use this workflow to read all the emails and tell me what is important and what requires actioning.

Youtube tutorial

What this workflow does

  1. It uses IMAP to read the emails from your email account (i.e. Gmail).
  2. It then passes the email to Openrouter.ai and uses a free A.I. model to read and summarize the email.
  3. It then sends the summary as a message to your messenger (i.e. Line).

Setup

  1. You need to find your email server IMAP credentials.
  2. Input your openrouter.ai API credentials or replace the HTTP request node with an A.I. node such as OpenAI.
  3. Input your messenger credentials. I use Line but you can change the node to another messenger line Telegram.
  4. You need to change the message ID to your ID inside the http request. You can find your user ID inside the https://developers.line.biz/console/. Change the "to": {insert your user ID}.

How to adjust it to your needs

  • You can change the A.I. prompt to fit your needs by telling it to mark emails from a certain address as important.
  • You can change the A.I. model from the current meta-llama/llama-3.1-70b-instruct:free to a paid model or other free models.
  • You can change the messenger node to telegram or any other messenger app you like.

Summarize Emails with AI via OpenRouter and Send to Line Messenger

This n8n workflow automates the process of summarizing incoming emails using an AI model from OpenRouter and then sending these summaries to a Line Messenger chat. It helps you stay informed about your emails without having to read through lengthy messages.

What it does

  1. Triggers on New Emails: Listens for new emails arriving in a configured IMAP mailbox.
  2. Filters Emails (Implicit): Although not explicitly shown, typically, you would filter emails based on sender, subject, or content to decide which ones to summarize. (Based on the "If" node, this implies a potential filtering step, though the connections are not provided in the JSON).
  3. Summarizes Email Content with AI: Uses a Langchain "Basic LLM Chain" with an "OpenRouter Chat Model" to generate a summary of the email's body.
  4. Parses AI Output: A "Structured Output Parser" is used to extract the summary in a structured format from the AI's response.
  5. Sends Summary to Line Messenger: (Implicit based on common use cases for such a workflow and the directory name, though the specific Line Messenger node is not present in the provided JSON, it would be the next logical step after the "HTTP Request" node). The "HTTP Request" node is likely configured to send the parsed summary to a Line Messenger API endpoint.

Prerequisites/Requirements

  • IMAP Email Account: An email account configured for IMAP access.
  • OpenRouter API Key: An API key for OpenRouter to access their AI models.
  • Line Messenger Account & API Access: A Line Messenger account and a channel/bot configured to receive messages via its API. You'll need the necessary API endpoint and access token.
  • n8n Instance: A running instance of n8n.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Email Trigger (IMAP):
    • Edit the "Email Trigger (IMAP)" node.
    • Add or select your IMAP credential.
    • Specify the mailbox to monitor (e.g., "INBOX").
  3. Configure OpenRouter Chat Model:
    • Edit the "OpenRouter Chat Model" node.
    • Add or select your OpenRouter credential, providing your API key.
    • Choose the desired AI model for summarization.
  4. Configure Basic LLM Chain:
    • Edit the "Basic LLM Chain" node.
    • Ensure the prompt is set up to instruct the AI to summarize the email content. You will likely reference the email body from the "Email Trigger (IMAP)" node's output.
  5. Configure Structured Output Parser:
    • Edit the "Structured Output Parser" node.
    • Define the schema for the expected output from the AI, ensuring it can correctly extract the summary.
  6. Configure HTTP Request (Line Messenger):
    • Edit the "HTTP Request" node.
    • Set the Method to POST.
    • Enter the URL for the Line Messenger API endpoint for sending messages.
    • Add necessary Headers (e.g., Authorization with your Line Access Token, Content-Type: application/json).
    • Set the Body Content to JSON and construct the payload to send the summarized text to your Line chat. You will reference the output of the "Structured Output Parser" for the summary text.
  7. Activate the Workflow: Save and activate the workflow. It will now automatically process new emails and send summaries to Line Messenger.

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