Extract Twilio voice donation details with Groq, Gemini, and Google Sheets

by MD Faizan Uzzaman ✓ · 21 views · created 2026-07-13 · Document Extraction, AI Summarization

What this workflow does

This AI workflow has 13 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Gemini Chat Model, Groq Chat Model and Google Sheets. It also calls api.groq.com over HTTP.

How it runs

Trigger: When an HTTP POST request hits its webhook URL.

1. Set Session Context (Edit Fields (Set)): sets 5 fields: CallSid, CallerPhone, RecordingUrl…
2. If: checks a condition and branches into true / false
3. Wait: waits 4 seconds
4. Fetch Recording File (HTTP Request): calls an HTTP API
5. Post Groq Transcription Request (HTTP Request): calls api.groq.com (POST)
6. Chain LLM Process (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat, Groq Chat Integration
7. Parse JSON Text (Code): runs custom JavaScript code
8. Read Google Sheet (Google Sheets): uses Google Sheets
9. Check Data in Sheets (If): checks a condition and branches into true / false
10. Append Data to Sheet (Google Sheets): append

Services it uses

Google Gemini Chat ModelGroq Chat ModelGoogle Sheets

HTTP calls to: api.groq.com

Before you upgrade to n8n 3.0

Nodes used (10)

• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• Google Gemini Chat Model@n8n/n8n-nodes-langchain.lmChatGoogleGemini
• Coden8n-nodes-base.code
• Edit Fields (Set)n8n-nodes-base.set
• Waitn8n-nodes-base.wait
• Groq Chat Model@n8n/n8n-nodes-langchain.lmChatGroq
• Ifn8n-nodes-base.if
• HTTP Requestn8n-nodes-base.httpRequest
• Webhookn8n-nodes-base.webhook
• Google Sheetsn8n-nodes-base.googleSheets

From the author

Quick overview This workflow receives Twilio call recording callbacks, transcribes the audio with Groq Whisper, uses Google Gemini/Groq LLMs to extract structured donation details, and appends the results (with transcript and review flag) to Google Sheets.…

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