n8n WhatsApp Multimedia Intelligent Interaction Bot
This workflow is a multimedia intelligent interactive robot that can automatically identify and process audio, video, images, and text messages on WhatsApp. By receiving user messages in real time, it intelligently sorts different types of content and utilizes advanced AI technology for analysis and response, significantly enhancing the customer interaction experience. It is suitable for various scenarios such as customer support, marketing interaction, and intelligent assistance, helping businesses achieve efficient automated communication.
Tags
Workflow Name
n8n WhatsApp Multimedia Intelligent Interaction Bot
Key Features and Highlights
This workflow enables intelligent multimedia processing and automated responses based on WhatsApp messages, supporting automatic recognition, analysis, and understanding of audio, video, image, and text messages.
- Real-time reception of user messages via the WhatsApp Trigger node
- Intelligent routing of different message types (audio, video, image, text) for targeted processing
- Integration of Google Gemini multimodal AI model, supporting audio transcription and video content description
- Utilization of GPT4o technology for image content analysis and optical character recognition (OCR)
- Automatic summarization of text messages to enhance information comprehension efficiency
- AI Agent combined with Wikipedia tool for intelligent answering and handling of complex queries
- Final delivery of AI-generated reply messages to users through the WhatsApp node
Core Problems Addressed
Traditional WhatsApp customer service or interaction bots typically handle only text messages and struggle to understand and process multimedia content. This workflow leverages multimodal AI technologies to automatically parse and intelligently respond to voice, video, and image content, significantly enhancing customer interaction experience and automation levels.
Application Scenarios
- Customer support automation: Automatically identify and respond to user multimedia inquiries
- Marketing engagement: Provide intelligent responses based on user-submitted multimedia content
- Intelligent assistants: Enable knowledge Q&A and information retrieval through multimodal inputs on WhatsApp
- Internal enterprise communication automation: Organize and reply to multimedia messages to improve collaboration efficiency
Main Workflow Steps
- WhatsApp Trigger: Listen for and receive WhatsApp messages from users in real time
- Message Splitting: Break down message lists and process each message individually
- Message Type Routing: Use the Switch node to identify message types (audio, video, image, text)
- Multimedia Content Retrieval: Call WhatsApp API to obtain corresponding media file URLs based on message type
- Download Multimedia Files: Use HTTP Request nodes to download audio, video, and image content
- Multimodal AI Parsing:
- Audio transcription (Google Gemini)
- Video content description (Google Gemini)
- Image content analysis (GPT4o)
- Text message summarization
- Information Integration: Format parsing results and extract key information
- AI Agent Reply Generation: Utilize Wikipedia tool to assist in generating accurate and context-aware responses
- Send Reply Message: Deliver the generated text reply to users via the WhatsApp node
Involved Systems and Services
- WhatsApp API (message receiving and sending, multimedia resource retrieval)
- Google Gemini (multimodal AI model supporting audio transcription and video analysis)
- GPT4o (image understanding and text summarization)
- Wikipedia (as an auxiliary knowledge base to enrich responses)
- n8n platform nodes (Trigger, Switch, HTTP Request, Set, AI Agent, etc.)
Target Users and Value
- Enterprise customer support teams: Enhance automated processing of multimedia messages and reduce manual workload
- Marketing and customer relationship management personnel: Achieve intelligent interactions and improve customer satisfaction
- Developers and automation enthusiasts: Quickly build a multimodal WhatsApp chatbot demo
- Any business scenarios requiring AI-powered multimodal interaction via WhatsApp, enabling smarter and more efficient customer communication experiences
Summary
This workflow delivers a comprehensive and technologically advanced WhatsApp multimedia intelligent interaction solution. By combining multimodal AI parsing with real-time message processing, it greatly expands the application scope of WhatsApp bots and is ideal for users and teams aiming to develop intelligent customer service or interaction bots.
Analyze Screenshots with AI
This workflow achieves full-process automation of web information retrieval by automatically capturing webpage screenshots and utilizing AI for content analysis. First, it calls a screenshot API to generate a complete screenshot of the webpage. Then, AI is used to intelligently extract the core content from the screenshot. Finally, it integrates the webpage title, URL, and the generated description to output structured information. This approach overcomes the limitations of traditional text scraping, significantly enhancing the efficiency and quality of web content acquisition, making it suitable for various scenarios such as market research and content review.
Chat with Local LLMs Using n8n and Ollama
This workflow allows users to engage in real-time conversations with AI through a locally deployed large language model, ensuring data security and privacy. Users can input text in the chat interface, and the system will utilize the powerful local model to generate intelligent responses, enhancing interaction efficiency. It is suitable for internal customer service in enterprises, model testing by researchers, and natural language processing tasks that require high response speed, helping users achieve a secure and convenient automated chat system.
Automated Speech Recognition Workflow
This workflow automates the reading of local WAV format audio files and calls the Wit.ai speech recognition API for intelligent transcription, simplifying the process of converting speech to text. Through automation, it addresses the need for converting audio files to text, enhancing processing efficiency and accuracy. It is suitable for scenarios such as customer service and meeting management, significantly reducing labor costs and promoting intelligent office practices and data applications.
AI-Based Automatic Image Title and Watermark Generation
This workflow utilizes the Google Gemini multimodal visual language model to automatically generate structured titles and descriptions for input images, intelligently overlaying them as watermarks. The entire process includes steps such as image downloading, resizing, text generation, format parsing, and image editing, achieving intelligent understanding and automated annotation of visual content. This significantly enhances content production efficiency and image protection capabilities. It is applicable in various scenarios, including media publishing, social media management, and copyright protection.
Use Any LLM Model via OpenRouter
This workflow enables flexible invocation and management of various large language models through the OpenRouter platform. Users can dynamically select models and input content simply by triggering chat messages, enhancing the efficiency of interactions. Its built-in chat memory function ensures contextual coherence, preventing information loss. This makes it suitable for scenarios such as intelligent customer service, content generation, and automated office tasks, greatly simplifying the integration and management of multiple models, making it ideal for AI developers and teams.
Chinese Translator
This workflow automatically translates text or image content sent by users into Chinese by receiving messages from the Line chat bot, and provides pinyin and English definitions. It supports intelligent processing of various message types and leverages a powerful AI language model to achieve high-quality bidirectional translation between Chinese and English, as well as image text recognition. This tool is not only suitable for language learners but also provides convenient cross-language communication solutions for businesses and travelers, enhancing the user interaction experience.
Chinese Vocabulary Intelligent Practice Assistant
This workflow builds an intelligent Chinese vocabulary practice assistant that interacts via Telegram, provides vocabulary support through Google Sheets, and uses AI technology to generate multiple-choice questions. It not only evaluates users' answers in real-time and provides feedback but also features multi-turn conversation memory to ensure a personalized learning experience. It is suitable for Chinese learners, educational institutions, and individual self-learners, significantly enhancing the interactivity and efficiency of learning.
Calendly Invitation Intelligent Analysis and Notion Data Synchronization Workflow
This workflow automates the connection between Calendly invitation events and Humantic AI's personality analysis, allowing for real-time access to personalized data about invitees. The analysis results are structured and synchronized to a Notion database. This enables businesses to gain deeper insights into the personality traits of clients or candidates, enhancing the quality of recruitment and sales decisions. Additionally, it eliminates data silos, achieves centralized information management, optimizes communication strategies, and significantly improves work efficiency.