Extract & Structure Invoice Data with Google Vision OCR, Gemini LLM & Google Sheets — n8n 워크플로

보통 복잡도⚡ 트리거12개의 노드🏷️ Invoice Processing작성자: Budi SJ

개요

Automated Invoice Collection & Data Extraction Using Vision API and LLM

This workflow automates the process of collecting uploaded invoices, extracting text using Google Vision API, and processing the extracted text with an LLM to produce structured data containing key transaction details such as date, voucher number, transaction detail, vendor, and transaction value.
The final data is saved to Google Sheets and a notification is sent to Telegram in real time.

✨ Key Features Invoice Upload F

사용된 노드

Google SheetsHTTP RequestTelegramGoogle DriveCodeBasic LLM ChainStructured Output ParserOpenRouter Chat Model

워크플로 미리보기

Automated Invoice Collection & Data Extractio
This workflow automates the process of collecting uploa
- This node triggers the workflow when a user
- Uploads the file received from the form into a specif
- Downloads the file from
- Converts the downloaded invoice file (binar
- Adds the Google Vision API key into the workflow data
- Processes OCR text through an LLM to extrac
- Forces the LLM to produce output in a fixed JSON sche
- Cleans and normalizes numeric fields from the LLM out
- Writes the extracted and cleaned invoice da
- Sends a Telegram message summarizing the new or updat
modelparser
S
Set Vision API
Basic LLM Chain
OpenRouter Chat Model
Structured Output Parser
Download file
HTTP Request
Send a text message
Upload file
Code
Code1
Append or update row in …
⚡
O
On form submission
12 nodes11 edges

작동 원리

  1. 1

    트리거

    워크플로는 트리거 트리거로 시작합니다.

  2. 2

    처리

    데이터가 12개의 노드를 통해 흐릅니다, connecting chainllm, code, formtrigger.

  3. 3

    출력

    워크플로가 자동화를 완료하고 구성된 대상에 결과를 전달합니다.

노드 세부 정보 (12)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
TE

Telegram

telegram

#3
GO

Google Drive

googleDrive

#4
CO

Code

code

#5
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#6
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#7
OP

OpenRouter Chat Model

n8n-nodes-langchain.lmChatOpenRouter

#8

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 extract-structure-invoice-data-with-google-vision-ocr-gemini-llm-google-sheets 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": "Extract & Structure Invoice Data with Google Vision OCR, Gemini LLM & Google Sheets", "nodes": [...], ...}

통합

chainllmcodeformtriggergoogledrivegooglesheetshttprequestlmchatopenrouteroutputparserstructuredsettelegram

이 워크플로 가져오기

한 번의 클릭으로 다운로드 및 가져오기

JSON 다운로드n8n.io에서 보기
노드12
복잡도medium
트리거trigger
카테고리Invoice Processing

제작자

Budi SJ

Budi SJ

@budisj

태그

chainllmcodeformtriggergoogledrivegooglesheetshttprequestlmchatopenrouteroutputparserstructuredsettelegram
⚡

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🔗 Webhook·12 nodes