Transcribe WhatsApp Audio Messages Using Whisper AI via Groq
Automatically convert WhatsApp audio messages to text using Whisper AI for improved accessibility and communication efficiency.
This workflow automates the transcription of WhatsApp audio messages into text using the Whisper AI model via Groq API. It is designed to enhance accessibility for users with hearing impairments, facilitate quick scanning of audio messages in professional settings, and support multilingual transcription. The workflow receives audio messages through a webhook, processes them with the Groq API, and sends the transcribed text back to the original WhatsApp conversation, ensuring seamless communication.
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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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