WhatsAppTrigger Automate

Automated workflow for WhatsAppTrigger that processes incoming messages by identifying their type (audio, video, image, or text), transcribing audio, summarizing text, and generating AI responses. This solution enhances user engagement by providing timely and relevant replies, making it ideal for customer support and interactive communication.

7/8/2025
35 nodes
Complex
manualcomplexwhatsapptriggerwhatsapplangchainsplitoutsticky notewaitadvancedapiintegrationlogicrouting
Categories:
Complex WorkflowManual Triggered
Integrations:
WhatsAppTriggerWhatsAppLangChainSplitOutSticky NoteWait

Target Audience

This workflow is ideal for:
- Customer Support Teams: Automate responses to frequently asked questions and provide quick assistance.
- Business Owners: Enhance communication with clients through automated WhatsApp messages.
- Developers: Use the workflow as a base for creating more complex chatbots or integrating with other services.
- Marketers: Engage with customers through personalized messages and responses based on user interactions.
- Educators: Provide information or resources to students and parents via WhatsApp.

Problem Solved

This workflow addresses the challenge of managing diverse message types received via WhatsApp. It automates the process of:
- Transcribing audio messages for accessibility and understanding.
- Describing video content to provide context without requiring users to watch.
- Analyzing image messages to extract information and provide insights.
- Summarizing text messages for quick comprehension.
By handling these tasks, it reduces the manual effort needed to respond to customers and enhances overall communication efficiency.

Workflow Steps

  • WhatsApp Trigger: The workflow begins with a trigger that listens for incoming messages on WhatsApp.
    2. Split Out Message Parts: The received message is split into its components, allowing for targeted processing based on message type.
    3. Redirect Message Types: The workflow determines the type of message (audio, video, image, or text) and routes it to the appropriate processing nodes.
    4. Download Media: Depending on the type, the workflow retrieves the media URLs for audio, video, and images.
    5. Process Messages: Each media type is processed:
    - Audio: Transcribed using Google Gemini.
    - Video: Described using Google Gemini.
    - Image: Explained using a dedicated image processing node.
    - Text: Summarized for clarity.
    6. AI Agent: The processed information is sent to an AI agent, which generates a response based on the user's message context.
    7. Respond to User: Finally, the workflow sends a response back to the user via WhatsApp, ensuring they receive timely and relevant information.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying the AI Agent's behavior: Adjust the system message to change how the AI responds to queries.
    - Adding new message types: Extend the workflow to handle additional media types or custom message formats by creating new nodes.
    - Integrating with other services: Connect additional APIs or services to enhance functionality, such as CRM systems for customer data.
    - Adjusting response formats: Change how the AI's responses are formatted before sending them to the user, allowing for a more personalized touch.
    - Implementing additional logic: Add conditions or filters to manage complex user interactions more effectively.

    WhatsAppTrigger Automate - N8N Workflow Directory