Extract Colombian Invoice Data from Drive to Sheets with GPT-4o — n8n ワークフロー

複雑度 トリガー18個のノード🏷️ Invoice Processing作成者:Caio Garvil

概要

Automate Colombian Cashflow Data Extraction to Google Sheets with AI

Who’s it for This workflow is designed for finance professionals, accountants, small business owners in Colombia, or anyone needing to automate the extraction of invoice data and its entry into Google Sheets. It's particularly useful for handling Colombian tax and legal specifics.

How it works / What it does This workflow automates the process of extracting critical data from invoices and receipts (PDFs and JPEGs) and organiz

使用ノード

Google SheetsGoogle DriveBasic LLM ChainStructured Output ParserAzure OpenAI Chat Model

ワークフロープレビュー

Automate Colombian Cashflow Data Extraction t
Who’s it for
This workflow is designed for finance professionals, ac
1a. and 1b.
These nodes trigger the workflow when a file is created
2. Download File
This node downloads the detected file from Google Drive
2. Route
This node routes the workflow based on the file's exten
4. Extract data from PDF
For PDF files, this node extracts all text content dire
5. Reasoning Agent & 5. Reasoning Agent1
These AI-powered 'Reasoning Agent' nodes (Azure OpenAI
4. Extract Data Agent
For JPEG image files, this node uses an AI Agent (Azure
6. Edit Field & 6. Edit Field1
These 'Edit Field' nodes ensure that the AI's extracted
7. Split data & 7. Split Data
These 'Split data' nodes separate the 'items' array fro
8. Fill Template & 8. Fill Template1
These 'Fill Template' nodes append the fully processed
Was this helpful? Let me know!
I really hope this workflow helped you automate your ca
modelmodelmodelparser
Azure OpenAI Chat Model
Azure OpenAI Chat Model2
Azure OpenAI Chat Model3
Structured Output Parser
1
1a. Updated file trigger
1
1b. Created file trigger
2. Download file
3
3. Route
5. Reasoning Agent
6
6. Edit Field
7
7. Split data
8. Fill Template
4
4. Extract data from PDF
4. Extract Data Agent
5. Reasoning Agent1
6
6. Edit Field1
7
7. Split Data
8. Fill Template1
18 nodes17 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 18 個のノードを流れます, connecting chainllm, extractfromfile, googledrive。

  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 (18)

GO

Google Sheets

googleSheets

#1
GO

Google Drive

googleDrive

#2
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#3
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#4
AZ

Azure OpenAI Chat Model

n8n-nodes-langchain.lmChatAzureOpenAi

#5

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-colombian-invoice-data-from-drive-to-sheets-with-gpt-4o 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 Colombian Invoice Data from Drive to Sheets with GPT-4o", "nodes": [...], ...}

インテグレーション

chainllmextractfromfilegoogledrivegoogledrivetriggergooglesheetslmchatazureopenaioutputparserstructuredsetsplitoutswitch

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18
複雑度high
トリガーtrigger
カテゴリInvoice Processing

作成者

Caio Garvil

Caio Garvil

@caiogarvil

タグ

chainllmextractfromfilegoogledrivegoogledrivetriggergooglesheetslmchatazureopenaioutputparserstructuredsetsplitoutswitch

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