This n8n workflow automates the process of handling multilingual voice interactions, primarily integrating with Telegram and Minimax TTS services. It begins with a trigger that activates the workflow, for instance, upon receiving a message. It then checks provider availability using Redis cache to optimize response time and reduces redundant data fetches. Based on the provider’s capabilities and language selections (Chinese, Japanese, English, Yue), it generates synthesized speech via Minimax TTS, which is then downloaded and sent as a voice message back to users on Telegram. The workflow also logs interactions into a PostgreSQL database for record-keeping and future analysis. This automation is useful for customer support bots, multilingual virtual assistants, or any service requiring automated, language-specific voice responses.
Automated Multilingual Voice Response Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chatTrigger, code, executeWorkflowTrigger, httpRequest, if, postgres, redis, set, stickyNote, switch, telegram |
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