This n8n workflow automates the process of translating and transcribing audio messages received via WhatsApp, integrating with AI services and HubSpot for contact management. It can handle multilingual inputs, perform language detection, translation, and transcription, and then analyze the content to personalize responses or update contact records.
The workflow begins with webhooks to receive WhatsApp messages, either as text or audio. Audio messages undergo conversion to files and are transcribed using OpenAI’s speech-to-text models. Text messages are processed with language detection and translation tools to ensure accurate understanding regardless of the user’s language.
AI agents and language models are employed to classify and analyze the message content, determining sentiment, intent, and relevant actions. Based on these insights, the workflow can update HubSpot contacts, send personalized responses via WhatsApp, or trigger further AI-driven customer engagement.
Additional nodes handle scheduling, deleting outdated executions, and filtering to manage data flow efficiently.
This automation provides a comprehensive solution for businesses looking to enhance customer interaction through multilingual voice and text communication, enabling real-time translation, transcription, and intelligent response generation for WhatsApp-based messaging campaigns.
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