What to build
A working example that receives WhatsApp voice messages via the WhatsApp Business API (Cloud API), downloads the audio, transcribes it with Deepgram, and replies with the transcript text in the same chat.
Why this matters
WhatsApp is the world's most-used messaging platform with 2B+ users, and voice messages are one of its most popular features. Businesses and developers building WhatsApp bots frequently need to process voice messages — for customer support automation, accessibility, note-taking, and more. A reference example showing the complete flow from WhatsApp webhook to Deepgram transcription to reply message fills a common developer need.
Suggested scope
- Language: TypeScript (Node.js)
- Framework: Express + WhatsApp Cloud API (Meta)
- Deepgram APIs: Pre-recorded STT (Nova-3)
- What it does: Express webhook server that handles incoming WhatsApp messages, detects voice messages, downloads audio via WhatsApp Media API, transcribes with Deepgram, and sends the transcript back as a WhatsApp text reply
- Includes: ngrok setup instructions for local testing, environment variable configuration for WhatsApp Business API credentials
- Complexity: Medium
Acceptance criteria
Raised by the DX intelligence system.
What to build
A working example that receives WhatsApp voice messages via the WhatsApp Business API (Cloud API), downloads the audio, transcribes it with Deepgram, and replies with the transcript text in the same chat.
Why this matters
WhatsApp is the world's most-used messaging platform with 2B+ users, and voice messages are one of its most popular features. Businesses and developers building WhatsApp bots frequently need to process voice messages — for customer support automation, accessibility, note-taking, and more. A reference example showing the complete flow from WhatsApp webhook to Deepgram transcription to reply message fills a common developer need.
Suggested scope
Acceptance criteria
Raised by the DX intelligence system.