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

Средняя сложность🔗 Webhook15 узлов🏷️ Invoice Processing👁 1 просмотровот achiya

Обзор

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

Использованные узлы

HTTP RequestCodeAI AgentOpenAI Chat ModelSimple MemoryCode Tool

Предпросмотр рабочего процесса

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

Как это работает

  1. 1

    Триггер

    Рабочий процесс запускается триггером webhook.

  2. 2

    Обработка

    Данные проходят через 15 узлов, connecting @devlikeapro/n8n-nodes-waha.waha, agent, code.

  3. 3

    Вывод

    Рабочий процесс завершает автоматизацию и доставляет результат в настроенное место назначения.

Детали узлов (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

Как импортировать этот рабочий процесс

  1. 1Нажмите кнопку Скачать JSON справа, чтобы сохранить файл рабочего процесса.
  2. 2Откройте ваш экземпляр n8n. Перейдите в Рабочие процессы → Новый → Импорт из файла.
  3. 3Выберите скачанный файл issue-rivhit-receipts-from-whatsapp-photos-using-google-vision-and-gpt-4o и нажмите Импортировать.
  4. 4Настройте учётные данные для каждого узла сервиса (ключи API, OAuth и т.д.).
  5. 5Нажмите Протестировать рабочий процесс, чтобы убедиться в правильной работе, затем активируйте его.

Или вставьте напрямую в n8n → Импорт из JSON:

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

Интеграции

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

Получить этот рабочий процесс

Скачайте и импортируйте одним кликом

Скачать JSONПросмотреть на n8n.io
Узлы15
Сложностьmedium
Триггерwebhook
Просмотры1
КатегорияInvoice Processing

Создан

achiya

achiya

@achiya

Теги

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

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🔗 Webhook·12 nodes