Block 1 - Line Webhook
- Type / Role
- n8n-nodes-base.webhook - webhook
- Config choices
- Version 2
This workflow is provided as-is. Please review and test before using in production.
This workflow template, "Personal Assistant to Note Messages and Extract Namecard Information" is designed to streamline the processing of incoming messages on the LINE messaging platform. It integ...
n8n-nodes-base.webhook, n8n-nodes-base.httprequest, n8n-nodes-base.stickynote, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.microsoftteams, n8n-nodes-base.microsofttodo
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by [email protected].
Original n8n.io sourceThis workflow template, "Personal Assistant to Note Messages and Extract Namecard Information" is designed to streamline the processing of incoming messages on the LINE messaging platform. It integrates with powerful tools like Microsoft Teams , Microsoft To Do , OneDrive , and OpenRouter.ai to handle tasks such as saving notes, extracting namecard information, and organizing images. Whether you’re managing personal productivity or automating workflows for teams, this template offers a versatile and customizable solution.
By leveraging this workflow, you can automate repetitive tasks, improve collaboration, and enhance efficiency in handling LINE messages.
This template is ideal for:
Managing incoming messages on LINE can be time-consuming, especially when dealing with diverse input types like text, images, and namecards. This workflow solves that problem by:
The workflow uses a Switch node to determine the type of input:
**Images ** If the image is identified as a namecard, the workflow extracts structured data (e.g., name, email, phone number) using OpenRouter.ai and saves it to Microsoft To Do for follow-up tasks. Save Images to OneDrive:
Images are uploaded to OneDrive, renamed based on their unique message ID, and linked in Microsoft Teams for reference.
Send Feedback via LINE: The workflow replies to the user with confirmation messages, such as "[ Task Created ]" or "[ Message Saved ]."
Pre-Requisites
Step-by-Step Setup
Test the Workflow:
Why Use This Template?
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 45 workflow blocks. Download the JSON for the full node graph.
| Workflow | LINE messages with GPT: Save notes, namecard data and tasks |
|---|---|
| Complexity | advanced |
| Nodes | 45 |
| Categories | Personal Productivity, AI Summarization |
| Author | [email protected] |
| Published | 03 Apr 2025 |
Use the JSON export at /data/workflows/3413/3413.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This workflow template, "Personal Assistant to Note Messages and Extract Namecard Information" is designed to streamline the processing of incoming messages on the LINE messaging platform. It integ...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Summarization use case.