Issue Rivhit receipts from WhatsApp photos using Google Vision and GPT-4o — n8n Workflow

Mittel Komplexität🔗 Webhook15 Knoten🏷️ Invoice Processing👁 1 Aufrufevon achiya

Übersicht

How it works

Courier sends an invoice photo to WhatsApp → AI extracts all details via Google Vision OCR Courier sends a payment photo (check, bank transfer, credit card voucher) → AI matches it to the invoice AI presents a summary and asks for confirmation Once approved — receipt is created in Rivhit, invoice is closed, and the PDF is sent back to WhatsApp

Supports cash, checks, credit cards, bank transfers, and split payments. Includes automatic customer lookup by tax ID and Israeli bank code

Verwendete Knoten

HTTP RequestCodeAI AgentOpenAI Chat ModelSimple MemoryCode Tool

Workflow-Vorschau

WhatsApp AI Receipt Agent
Automatically issue receipts from invoice & payment pho
Who is it for
Small businesses using Rivhit accounting + WhatsApp for
Ho
1. Webhook & Filtering
Receives incoming WhatsApp messages via WAHA and filter
2. OCR & Message Preparation
If the message contains an image → extract text using G
The extracted text is then appended to the courier's me
3. AI Agent + Rivhit API Tool
The AI Agent reads conversation history, extracts invoi
- Issue receipts (cash, check, credit, transfer, multip
4. Response Delivery
If a document (PDF) was generated → send it as a file a
Otherwise → send a text-only reply.
⚠️ Add your Rivhit API token here
Get it from your Rivhit account settings → API section.
⚠️ Replace with your WhatsApp group ID
You can find it in the webhook payload under `payload.f
⚠️ Add your Google Cloud Vision API key
Enable the Vision API in your Google Cloud Console and
toolmemorymodel
I
Is there a picture or not?
Preparing a message
Extracting text from ima…
A
api key
AI Agent
rivhit_api
Simple Memory
OpenAI Chat Model
Separation between the m…
O
Only if there is an atta…
S
Send a file
S
Send a text message
S
Start Typing
O
Only if it's from the bo…
⚡
W
Webhook
15 nodes15 edges

So funktioniert es

  1. 1

    Auslöser

    Der Workflow startet mit einem webhook-Auslöser.

  2. 2

    Verarbeitung

    Die Daten fließen durch 15 Knoten, connecting @devlikeapro/n8n-nodes-waha.waha, agent, code.

  3. 3

    Ausgabe

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

Knotendetails (15)

HT

HTTP Request

httpRequest

#1
CO

Code

code

#2
AI

AI Agent

n8n-nodes-langchain.agent

#3
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#4
SI

Simple Memory

n8n-nodes-langchain.memoryBufferWindow

#5
CO

Code Tool

n8n-nodes-langchain.toolCode

#6

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 issue-rivhit-receipts-from-whatsapp-photos-using-google-vision-and-gpt-4o 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": "Issue Rivhit receipts from WhatsApp photos using Google Vision and GPT-4o", "nodes": [...], ...}

Integrationen

@devlikeapro/n8n-nodes-waha.wahaagentcodefilterhttprequestiflmchatopenaimemorybufferwindown8n-nodes-waha.wahasettoolcodewebhook

Diesen Workflow holen

Herunterladen und mit einem Klick importieren

JSON herunterladenAuf n8n.io ansehen
Knoten15
Komplexitätmedium
Auslöserwebhook
Aufrufe1
KategorieInvoice Processing

Erstellt von

achiya

achiya

@achiya

Tags

@devlikeapro/n8n-nodes-waha.wahaagentcodefilterhttprequestiflmchatopenaimemorybufferwindown8n-nodes-waha.wahaset
⚡

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🔗 Webhook·12 nodes