Extract & Structure Invoice Data with Google Vision OCR, Gemini LLM & Google Sheets — n8n ワークフロー

中 複雑度⚡ トリガー12個のノード🏷️ Invoice Processing作成者：Budi SJ

概要

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

使用ノード

Google SheetsHTTP RequestTelegramGoogle DriveCodeBasic LLM ChainStructured Output ParserOpenRouter Chat Model

ワークフロープレビュー

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

仕組み

  1. 1

    トリガー

    このワークフローは トリガー トリガーで開始します。

  2. 2

    処理

    データは 12 個のノードを流れます, connecting chainllm, code, formtrigger。

  3. 3

    出力

    ワークフローは自動化を完了し、設定された宛先に結果を配信します。

ノード詳細 (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

このワークフローのインポート方法

  1. 1右側の JSONをダウンロード ボタンをクリックしてワークフローファイルを保存します。
  2. 2n8nインスタンスを開き、ワークフロー → 新規 → ファイルからインポート に進みます。
  3. 3ダウンロードした extract-structure-invoice-data-with-google-vision-ocr-gemini-llm-google-sheets ファイルを選択し、インポートをクリックします。
  4. 4各サービスノードの 認証情報（APIキー、OAuthなど）を設定します。
  5. 5ワークフローをテスト をクリックして動作確認し、有効化します。

またはn8nの JSONからインポート に直接貼り付け：

{ "name": "Extract & Structure Invoice Data with Google Vision OCR, Gemini LLM & Google Sheets", "nodes": [...], ...}

インテグレーション

chainllmcodeformtriggergoogledrivegooglesheetshttprequestlmchatopenrouteroutputparserstructuredsettelegram

このワークフローを取得

ワンクリックでダウンロード＆インポート

JSONをダウンロードn8n.ioで見る
ノード12
複雑度medium
トリガーtrigger
カテゴリInvoice Processing

作成者

Budi SJ

Budi SJ

@budisj

タグ

chainllmcodeformtriggergoogledrivegooglesheetshttprequestlmchatopenrouteroutputparserstructuredsettelegram
⚡

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