WhatsApp Receipt OCR & AI Data Extraction with Twilio, LlamaParse & Gemini — n8n Workflow

Hoch Komplexität🔗 Webhook35 Knoten🏷️ Invoice Processingvon Gabriela Macovei

Übersicht

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

Verwendete Knoten

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

Workflow-Vorschau

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

So funktioniert es

  1. 1

    Auslöser

    Der Workflow startet mit einem webhook-Auslöser.

  2. 2

    Verarbeitung

    Die Daten fließen durch 35 Knoten, connecting chainllm, code, googledrive.

  3. 3

    Ausgabe

    Der Workflow schließt seine Automatisierung ab und liefert das Ergebnis an das konfigurierte Ziel.

Knotendetails (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

So importieren Sie diesen Workflow

  1. 1Klicken Sie rechts auf die Schaltfläche JSON herunterladen, um die Workflow-Datei zu speichern.
  2. 2Öffnen Sie Ihre n8n-Instanz. Gehen Sie zu Workflows → Neu → Aus Datei importieren.
  3. 3Wählen Sie die heruntergeladene Datei whatsapp-receipt-ocr-ai-data-extraction-with-twilio-llamaparse-gemini und klicken Sie auf Importieren.
  4. 4Richten Sie Anmeldedaten für jeden Dienstknoten ein (API-Schlüssel, OAuth usw.).
  5. 5Klicken Sie auf Workflow testen, um zu überprüfen, ob alles funktioniert, und aktivieren Sie es dann.

Oder direkt in n8n → Aus JSON importieren einfügen:

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

Integrationen

chainllmcodegoogledrivegooglesheetshttprequestiflmchatgooglegeminilmchatopenroutermergeoutputparserstructuredswitchwaitwebhook

Diesen Workflow holen

Herunterladen und mit einem Klick importieren

JSON herunterladenAuf n8n.io ansehen
Knoten35
Komplexitäthigh
Auslöserwebhook

Erstellt von

Gabriela Macovei

Gabriela Macovei

@gabrielamacovei

Tags

chainllmcodegoogledrivegooglesheetshttprequestiflmchatgooglegeminilmchatopenroutermergeoutputparserstructured

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🔗 Webhook·12 nodes