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

Media complejidad🔗 Webhook15 nodos🏷️ Invoice Processing👁 1 vistaspor achiya

Descripción general

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

Nodos utilizados

HTTP RequestCodeAI AgentOpenAI Chat ModelSimple MemoryCode Tool

Vista previa del flujo de trabajo

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

Cómo funciona

  1. 1

    Disparador

    El flujo de trabajo comienza con un disparador webhook.

  2. 2

    Procesamiento

    Los datos fluyen a través de 15 nodos, connecting @devlikeapro/n8n-nodes-waha.waha, agent, code.

  3. 3

    Salida

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

Detalles de nodos (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

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

Integraciones

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

Obtener este flujo de trabajo

Descarga e importa con un solo clic

Descargar JSONVer en n8n.io
Nodos15
Complejidadmedium
Disparadorwebhook
Vistas1

Creado por

achiya

achiya

@achiya

Etiquetas

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

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🔗 Webhook·12 nodes