Multilingual WhatsApp Translator with Whisper, GPT-4 & HubSpot
Transcribes and translates WhatsApp voice/text messages using OpenAI Whisper & GPT-4, adapts culturally, auto-replies, and saves leads to HubSpot for seamless multilingual patient communication.
This n8n workflow automates multilingual WhatsApp communication for healthcare providers. It receives messages via webhook from Evolution API or WhatsApp providers, detects language from phone prefixes (80+ countries), transcribes audio with OpenAI Whisper, translates and culturally adapts responses using GPT-4o/GPT-4 with tone, slang, and emojis for natural conversations, and replies instantly. All interactions, contacts, and history are automatically saved to HubSpot CRM, ensuring no patient lead is lost.
Benefits include time-saving automation of patient inquiries, improved engagement with international patients through accurate, empathetic responses, and centralized data in HubSpot for follow-ups and analytics. It reduces manual translation efforts, minimizes errors in voice handling, and scales for high-volume clinics or telehealth services.
Ideal use cases: Managing multilingual patient appointments, handling symptom queries in native languages, onboarding international patients, or post-visit follow-ups. Perfect for global healthcare practices, hospitals, or telemedicine platforms needing compliant, efficient communication.
Setup is straightforward: Clone to n8n, configure webhook in WhatsApp API, add OpenAI and HubSpot credentials, tweak AI prompts for your default languages, and activate for instant 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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