AI WhatsApp Chatbot: Text, Voice, Images, PDFs + Memory
Multimodal AI assistant for WhatsApp that processes text, voice, images, and PDFs using OpenAI models, with contextual memory for natural conversations.
This advanced n8n workflow powers a WhatsApp chatbot capable of handling diverse message types: text, voice notes, images, and PDFs. It automatically detects input types and routes them to specialized OpenAI models—GPT-4o-mini for text, vision models for images, Whisper for voice transcription, and text extraction for PDFs—ensuring accurate analysis and relevant responses. Conversation memory maintains context over 10 interactions per user via session IDs, enabling coherent, personalized dialogues.
Key benefits include seamless multimodal support, reducing manual intervention in customer service or personal assistance, and mobile-optimized replies for better UX. It's ideal for businesses needing 24/7 AI support, educators for interactive learning, or individuals automating personal tasks like document summarization.
Use cases span e-commerce query handling, educational Q&A with file uploads, visual content description for accessibility, and voice-based interactions for hands-free use. The workflow saves hours of development time, integrating WhatsApp webhooks with robust AI logic for production-ready deployment.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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