Extract Colombian Invoice Data from Drive to Sheets with GPT-4o — n8n 工作流

复杂度 触发器18 个节点🏷️ Invoice Processing作者:Caio Garvil

概览

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

使用的节点

Google SheetsGoogle DriveBasic LLM ChainStructured Output ParserAzure OpenAI Chat Model

工作流预览

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

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 18 个节点, connecting chainllm, extractfromfile, googledrive。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (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

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例,依次点击 工作流 → 新建 → 从文件导入
  3. 3选择下载的 extract-colombian-invoice-data-from-drive-to-sheets-with-gpt-4o 文件并点击导入。
  4. 4为每个服务节点配置 凭证(API 密钥、OAuth 等)。
  5. 5点击 测试工作流 验证一切正常,然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴:

{ "name": "Extract Colombian Invoice Data from Drive to Sheets with GPT-4o", "nodes": [...], ...}

集成

chainllmextractfromfilegoogledrivegoogledrivetriggergooglesheetslmchatazureopenaioutputparserstructuredsetsplitoutswitch

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点18
复杂度high
触发器trigger

创建者

Caio Garvil

Caio Garvil

@caiogarvil

标签

chainllmextractfromfilegoogledrivegoogledrivetriggergooglesheetslmchatazureopenaioutputparserstructuredsetsplitoutswitch

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🔗 Webhook·12 nodes