WhatsApp receipt OCR & AI data extraction with Twilio, LlamaParse & Gemini
Ready for 3.0What this workflow does
This AI workflow has 35 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects OpenRouter Chat Model, Google Gemini Chat Model, Google Drive and Google Sheets. It also calls api.twilio.com, messaging.twilio.com and api.cloud.llamaindex.ai over HTTP.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Switch: routes items into 3 branches
- HTTP Request: calls api.twilio.com (POST)
- HTTP Request: calls api.twilio.com (POST)
- HTTP Request: calls messaging.twilio.com (POST)
- Update row in sheet (Google Sheets): update
- Update row in sheet (Google Sheets): update
- Append row in sheet (Google Sheets): append
- HTTP Request: calls messaging.twilio.com (POST)
- HTTP Request: calls an HTTP API
- Upload file (Google Drive): uses Google Drive
…plus 20 more steps. See the full node list below.
Services it uses
HTTP calls to: api.twilio.com, messaging.twilio.com, api.cloud.llamaindex.ai
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (13)
- Webhook
n8n-nodes-base.webhook - If
n8n-nodes-base.if - Wait
n8n-nodes-base.wait - HTTP Request
n8n-nodes-base.httpRequest - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Google Drive
n8n-nodes-base.googleDrive - Google Sheets
n8n-nodes-base.googleSheets - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Code
n8n-nodes-base.code - Merge
n8n-nodes-base.merge - Switch
n8n-nodes-base.switch
From the author
WhatsApp Receipt OCR & Data Extraction Suite Categories: Accounting Automation • OCR Processing • AI Data Extraction • Business Tools This workflow transforms WhatsApp into a fully automated receipt-processing system using advanced OCR, multi-model AI…