WhatsApp AI Message Handler: Automate Audio, Video, and Image Analysis
detail.loadingPreview
This workflow automates the handling of various WhatsApp message types, including audio, video, and images. It uses the WhatsApp Trigger and a Switch node to identify message types, then processes media using WhatsApp and HTTP Request nodes, before feeding the information to AI tools like Wikipedia and a memory buffer.
🚀Ready to Deploy This Workflow?
About This Workflow
Overview
This n8n workflow is designed to automatically process incoming WhatsApp messages, offering advanced capabilities for handling not just text but also audio, video, and image content. It leverages the WhatsApp Trigger to capture messages, a Switch node to intelligently route them based on type, and dedicated nodes (WhatsApp, HTTP Request) to fetch and download media. The processed information, including transcriptions and descriptions, is then channeled into AI tools like Wikipedia and a Window Buffer Memory for contextual AI processing. This workflow is ideal for building sophisticated AI-powered chatbots or automated customer service systems that need to understand and react to diverse media inputs.
Key Features
- Triggers workflow on incoming WhatsApp messages.
- Intelligently routes messages to appropriate processing paths based on type (audio, video, image, text).
- Fetches and downloads media (audio, video, images) from WhatsApp.
- Utilizes AI nodes (like Wikipedia and Memory Buffer) for message analysis and context management.
- Supports transcription of audio messages and description of video/image messages.
How To Use
- Configure WhatsApp Trigger: Set up the
WhatsApp Triggernode with your WhatsApp credentials and set it to listen for 'messages'. Ensure your webhook is correctly configured. - Split Message Parts: The
Split Out Message Partsnode will separate the incoming message payload. - Redirect Message Types: The
Switchnode (Redirect Message Types) will branch the workflow based on the message type (audio, video, image, or text). - Process Media:
- For Audio Messages: Use the
WhatsAppnode (Get Audio URL) to get the media URL and then theHTTP Requestnode (Download Audio) to download it. - For Video Messages: Use the
WhatsAppnode (Get Video URL) to get the media URL and then theHTTP Requestnode (Download Video) to download it. - For Image Messages: Use the
WhatsAppnode (Get Image URL) to get the media URL and then theHTTP Requestnode (Download Image) to download it.
- For Audio Messages: Use the
- Process Text and Metadata: The
Get User's Messagenode sets up variables for message type, text, and sender information, also capturing captions from media. - AI Integration: Connect the output of your media processing or text extraction to AI nodes like
Window Buffer MemoryandWikipediafor further analysis and contextualization.
Apps Used
Workflow JSON
{
"id": "dad633b4-c260-4f4b-8415-de7b93e16dba",
"name": "WhatsApp AI Message Handler: Automate Audio, Video, and Image Analysis",
"nodes": 0,
"category": "WhatsApp Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: dad633b4-c260...
About the Author
N8N_Community_Pick
Curator
Hand-picked high quality workflows from the global community.
Statistics
Verification Info
Related Workflows
Discover more workflows you might like
Automated WhatsApp Meeting Attendee Notifications
This workflow automates WhatsApp notifications for upcoming meetings by extracting attendee information from Google Calendar invites and then using OpenAI to generate personalized messages. It also fetches recent email correspondence to provide context.
WhatsApp AI Chatbot for Product Inquiries Using PDF Brochure
Automate product inquiries via WhatsApp. This workflow uses the WhatsApp Trigger to receive messages, processes them with OpenAI's Chat Model and a Vector Store built from a PDF brochure, and replies to users.