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

보통 복잡도🔗 Webhook15개의 노드🏷️ Invoice Processing👁 1회 조회작성자: achiya

개요

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

사용된 노드

HTTP RequestCodeAI AgentOpenAI Chat ModelSimple MemoryCode Tool

워크플로 미리보기

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

작동 원리

  1. 1

    트리거

    워크플로는 webhook 트리거로 시작합니다.

  2. 2

    처리

    데이터가 15개의 노드를 통해 흐릅니다, connecting @devlikeapro/n8n-nodes-waha.waha, agent, code.

  3. 3

    출력

    워크플로가 자동화를 완료하고 구성된 대상에 결과를 전달합니다.

노드 세부 정보 (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

이 워크플로 가져오는 방법

  1. 1오른쪽의 JSON 다운로드 버튼을 클릭하여 워크플로 파일을 저장합니다.
  2. 2n8n 인스턴스를 열고 워크플로 → 새로 만들기 → 파일에서 가져오기로 이동합니다.
  3. 3다운로드된 issue-rivhit-receipts-from-whatsapp-photos-using-google-vision-and-gpt-4o 파일을 선택하고 가져오기를 클릭합니다.
  4. 4각 서비스 노드에 대한 자격 증명(API 키, OAuth 등)을 설정합니다.
  5. 5워크플로 테스트를 클릭하여 모든 것이 작동하는지 확인한 후 활성화합니다.

또는 n8n → JSON에서 가져오기에 직접 붙여넣기:

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

통합

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

이 워크플로 가져오기

한 번의 클릭으로 다운로드 및 가져오기

JSON 다운로드n8n.io에서 보기
노드15
복잡도medium
트리거webhook
조회수1
카테고리Invoice Processing

제작자

achiya

achiya

@achiya

태그

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

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Related Invoice Processing Workflows

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🔗 Webhook·12 nodes