AI-Powered Invoice Extractor via Telegram to Airtable — n8n 워크플로

보통 복잡도⚡ 트리거11개의 노드🏷️ Invoice Processing작성자: BizThrive.ai

개요

📄 Description

This workflow automates the extraction of structured invoice data from PDF files sent via Telegram and stores it in Airtable. It leverages GPT-4o for intelligent parsing and includes conversational memory for a seamless user experience. Designed for businesses and freelancers who receive invoices digitally and want to streamline their record-keeping.

⚙️ How It Works

Telegram Trigger – Listens for incoming messages and PDF attachments.
Switch Node – Filters messages to ensure o

사용된 노드

TelegramAI AgentOpenAI Chat ModelSimple Memory

워크플로 미리보기

📋 SETUP REQUIREMENTS

🔧 Prerequisites:

• Telegram Bot Token (from @BotFather)

• OpenAI API Key (GPT-4o model access)

• Airtable Account with API access

📊 Airtable Setup:

🤖 INVOICE CATEGORISER WORKFLOW

📝 Purpose:

Automatically extracts invoice data from PDF files sent

🔄 Process Flow:

1. Telegram message received

📱 HOW TO USE

1️⃣ Start Conversation:

• Send any message to the Telegram bot

• Bot will ask for company/individual name

2️⃣ Upload Invoice:

• Send PDF invoice as file attachment

📊 AIRTABLE DATA STRUCTURE

📋 Invoices Table Fields:

• Invoice Number, Date, Supplier

• Supplier Address, Tax ID

• PO Number, Due Date

• Receiver Name, Address

🔧 TROUBLESHOOTING

❌ Common Issues:

📄 PDF Not Processing:

• Check file is actually PDF format

• Ensure file size is reasonable

• Verify PDF contains readable text

⚙️ CONFIGURATION NOTES

🎯 AI Agent Settings:

• Uses GPT-4o model for accuracy

• Structured prompts for consistency

• Memory enabled for context

• Tools connected for Airtable operations

OpenAI Chat Model

Simple Memory

Create Line Item1

Create Invoice1

Telegram3

Edit Fields1

Telegram2

Extract from File1

Switch1

⚡

Telegram Trigger1

AI Agent1

11 nodes11 edges

작동 원리

1
트리거
워크플로는 트리거 트리거로 시작합니다.
2
처리
데이터가 11개의 노드를 통해 흐릅니다, connecting agent, airtabletool, extractfromfile.
3
출력
워크플로가 자동화를 완료하고 구성된 대상에 결과를 전달합니다.

노드 세부 정보 (11)

AI Agent

n8n-nodes-langchain.agent

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

Simple Memory

n8n-nodes-langchain.memoryBufferWindow

이 워크플로 가져오는 방법

1오른쪽의 JSON 다운로드 버튼을 클릭하여 워크플로 파일을 저장합니다.
2n8n 인스턴스를 열고 워크플로 → 새로 만들기 → 파일에서 가져오기로 이동합니다.
3다운로드된 ai-powered-invoice-extractor-via-telegram-to-airtable 파일을 선택하고 가져오기를 클릭합니다.
4각 서비스 노드에 대한 자격 증명（API 키, OAuth 등）을 설정합니다.
5워크플로 테스트를 클릭하여 모든 것이 작동하는지 확인한 후 활성화합니다.

또는 n8n → JSON에서 가져오기에 직접 붙여넣기:

{ "name": "AI-Powered Invoice Extractor via Telegram to Airtable", "nodes": [...], ...}

통합

agentairtabletoolextractfromfilelmchatopenaimemorybufferwindowsetswitchtelegramtelegramtrigger

이 워크플로 가져오기

한 번의 클릭으로 다운로드 및 가져오기

JSON 다운로드 n8n.io에서 보기

노드11

복잡도medium

트리거trigger

카테고리Invoice Processing

제작자

BizThrive.ai

@davids

n8n을 처음 사용하시나요?

n8n은 무료 오픈소스 워크플로 자동화 도구입니다. 자체 호스팅하거나 클라우드 버전을 사용하세요.

n8n 무료로 시작하기 →

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🔗 Webhook·12 nodes