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

Moyen complexité🔗 Webhook15 nœuds🏷️ Invoice Processing👁 1 vuespar achiya

Aperçu

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

Nœuds utilisés

HTTP RequestCodeAI AgentOpenAI Chat ModelSimple MemoryCode Tool

Aperçu du workflow

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

Comment ça fonctionne

  1. 1

    Déclencheur

    Le workflow démarre avec un déclencheur webhook.

  2. 2

    Traitement

    Les données transitent par 15 nœuds, connecting @devlikeapro/n8n-nodes-waha.waha, agent, code.

  3. 3

    Sortie

    Le workflow termine son automatisation et livre le résultat à la destination configurée.

Détails des nœuds (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

Comment importer ce workflow

  1. 1Cliquez sur le bouton Télécharger JSON à droite pour enregistrer le fichier du workflow.
  2. 2Ouvrez votre instance n8n. Accédez à Workflows → Nouveau → Importer depuis un fichier.
  3. 3Sélectionnez le fichier issue-rivhit-receipts-from-whatsapp-photos-using-google-vision-and-gpt-4o téléchargé et cliquez sur Importer.
  4. 4Configurez les identifiants pour chaque nœud de service (clés API, OAuth, etc.).
  5. 5Cliquez sur Tester le workflow pour vérifier que tout fonctionne, puis activez-le.

Ou collez directement dans n8n → Importer depuis JSON :

{ "name": "Issue Rivhit receipts from WhatsApp photos using Google Vision and GPT-4o", "nodes": [...], ...}

Intégrations

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

Obtenir ce workflow

Téléchargez et importez en un clic

Télécharger JSONVoir sur n8n.io
Nœuds15
Complexitémedium
Déclencheurwebhook
Vues1
CatégorieInvoice Processing

Créé par

achiya

achiya

@achiya

Tags

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

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🔗 Webhook·12 nodes