WhatsApp Receipt OCR & AI Data Extraction with Twilio, LlamaParse & Gemini — Flujo de trabajo n8n

Alta complejidad🔗 Webhook35 nodos🏷️ Invoice Processingpor Gabriela Macovei

Descripción general

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 parsing, and structured data storage. By combining LlamaParse, Claude (OpenRouter), Gemini, Google Sheets, and Twilio, it eliminates manual data entry and delivers instant, reliable receipt digitization for any business.

What This Workflow Does

Nodos utilizados

Google SheetsHTTP RequestGoogle DriveCodeBasic LLM ChainStructured Output ParserGoogle Gemini Chat ModelOpenRouter Chat Model

Vista previa del flujo de trabajo

Quick reply yes/no . SID from twilio
extracted values. no yes/no buttons
Try It Out!
This template shows how to automate the extraction of k
Send quick reply asking the user to confirm i
Contains yes / No buttons
You need to define the quick reply template inside Twil
Wait for WhatsApp to
OCR pooling mechanism using LlamaParse
Calculate tax if not specified on the receipt
modelmodelmodelparser
W
Webhook3
I
If5
W
Wait
HTTP Request28
HTTP Request29
HTTP Request17
HTTP Request18
HTTP Request30
OpenRouter Chat Model
HTTP Request5
Google Gemini Chat Model5
Upload file2
Append row in sheet2
Update row in sheet4
Update row in sheet5
HTTP Request6
Basic LLM Chain3
Structured Output Parser3
Code4
HTTP Request7
Code5
I
If
M
Merge2
M
Merge3
Share file1
HTTP Request19
S
Switch1
HTTP Request20
HTTP Request21
Update row in sheet9
Update row in sheet10
Update row in sheet11
HTTP Request22
HTTP Request24
Google Gemini Chat Model6
35 nodes37 edges

Cómo funciona

  1. 1

    Disparador

    El flujo de trabajo comienza con un disparador webhook.

  2. 2

    Procesamiento

    Los datos fluyen a través de 35 nodos, connecting chainllm, code, googledrive.

  3. 3

    Salida

    El flujo de trabajo completa su automatización y entrega el resultado al destino configurado.

Detalles de nodos (35)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
GO

Google Drive

googleDrive

#3
CO

Code

code

#4
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#5
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#6
GO

Google Gemini Chat Model

n8n-nodes-langchain.lmChatGoogleGemini

#7
OP

OpenRouter Chat Model

n8n-nodes-langchain.lmChatOpenRouter

#8

Cómo importar este flujo de trabajo

  1. 1Haz clic en el botón Descargar JSON a la derecha para guardar el archivo del flujo de trabajo.
  2. 2Abre tu instancia de n8n. Ve a Flujos de trabajo → Nuevo → Importar desde archivo.
  3. 3Selecciona el archivo whatsapp-receipt-ocr-ai-data-extraction-with-twilio-llamaparse-gemini descargado y haz clic en Importar.
  4. 4Configura las credenciales para cada nodo de servicio (claves API, OAuth, etc.).
  5. 5Haz clic en Probar flujo de trabajo para verificar que todo funcione, luego actívalo.

O pega directamente en n8n → Importar desde JSON:

{ "name": "WhatsApp Receipt OCR & AI Data Extraction with Twilio, LlamaParse & Gemini", "nodes": [...], ...}

Integraciones

chainllmcodegoogledrivegooglesheetshttprequestiflmchatgooglegeminilmchatopenroutermergeoutputparserstructuredswitchwaitwebhook

Obtener este flujo de trabajo

Descarga e importa con un solo clic

Descargar JSONVer en n8n.io
Nodos35
Complejidadhigh
Disparadorwebhook

Creado por

Gabriela Macovei

Gabriela Macovei

@gabrielamacovei

Etiquetas

chainllmcodegoogledrivegooglesheetshttprequestiflmchatgooglegeminilmchatopenroutermergeoutputparserstructured

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🔗 Webhook·12 nodes