This n8n workflow enables automatic translation of voice messages and text received via WhatsApp, leveraging AI services like OpenAI and LangChain. It processes incoming media, extracts and translates content, and sends back the translated messages, making it highly useful for multilingual communication in customer support or global teams. The workflow integrates webhooks for incoming messages, media conversion nodes, AI language models for translation and classification, and WhatsApp request nodes for outgoing messaging. It also includes logic for handling different media types, language detection, and routing based on country or language, ensuring seamless multilingual interactions in WhatsApp communications.
AI Translator for WhatsApp Automates Voice & Text Translation
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGroq, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.textClassifier, @n8n/n8n-nodes-langchain.toolCalculator, @n8n/n8n-nodes-langchain.toolThink, code, convertToFile, filter, httpRequest, if, set, stickyNote, webhook |
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