Transcribe WhatsApp audio messages with Whisper AI via Groq

WhatsApp Audio Transcriber Bot

Overview Automatically transcribe WhatsApp audio messages to text using AI-powered speech recognition. This workflow receives audio messages via webhook, processes them through Groq's Whisper API, and replies with the transcribed text in the same conversation.

Use Cases - Accessibility: Help users with hearing impairments access audio content - Workplace Communication: Quickly scan audio messages in professional settings - Language Learning: Get text versions of audio for better comprehension - Meeting Notes: Convert voice messages to searchable text format - Multilingual Support: Transcribe audio in Portuguese (configurable for other languages)

How it Works 1. Message Reception: Webhook receives WhatsApp messages in real-time 2. Audio Detection: Filters only audio messages using Switch node 3. Format Conversion: Converts base64 audio to MP3 file format 4. AI Transcription: Processes audio through Groq API with Whisper Large V3 model 5. Response Delivery: Sends transcribed text back to the original conversation

Key Features - ✅ Real-time Processing: Instant transcription of incoming audio messages - ✅ High Accuracy: Uses Whisper Large V3 model for reliable transcription - ✅ Auto-Reply: Automatically responds in the same WhatsApp conversation - ✅ Message Quoting: References the original audio message in the reply - ✅ Portuguese Optimized: Configured for Brazilian Portuguese transcription - ✅ Self-Message Filtering: Ignores messages sent by the bot itself

Prerequisites Required Services - Evolution API: WhatsApp integration service - Groq API: AI transcription service (Whisper model) - n8n Instance: Workflow automation platform

API Keys & Configuration - Groq API key (set as environment variable: GROQAPIKEY) - Evolution API instance properly configured - Webhook URL configured in Evolution API

Setup Instructions 1. Import Workflow: Import the JSON workflow into your n8n instance 2. Configure Environment: Set GROQAPIKEY environment variable 3. Setup Webhook: Configure Evolution API to send messages to the webhook endpoint 4. Test Connection: Send a test audio message to verify the workflow