AI-Powered Data Extraction & Validation for Colombian Invoices

@n8n/n8n-nodes-langchain.lm Chat Open Ai
Complex Trigger

This n8n workflow automates the comprehensive processing of Colombian invoices. It efficiently handles multiple invoices by first splitting them into individual items using the 'Split In Batches' node. The core intelligence is provided by an 'OpenAI Chat Model,' which meticulously extracts key information from each invoice. This includes identifying critical data points such as vendor details, invoice numbers, dates, line items, quantities, unit prices, subtotals, tax amounts, and the total due. To ensure accuracy and consistency, the workflow then leverages a 'Calculator' tool to perform or validate numerical computations found within the invoices. This streamlined, AI-driven approach significantly reduces manual effort, enhances data quality, and accelerates the financial reconciliation process for Colombian documents.

23
Nodes
18
Services
3
Categories
Complex
Type

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File Details

Filename
1765_Code_Filter_Process_Triggered.json
Category
Code
Updated
09/04/2025

Services & Integrations

Split In Batches
@n8n/n8n-nodes-langchain.lm Chat Open Ai
@n8n/n8n-nodes-langchain.tool Calculator
@n8n/n8n-nodes-langchain.output Parser Structured
Gmail Trigger
Code
Filter
Compression
No Op
Switch
Extract From File
Xml
Merge
Aggregate
@n8n/n8n-nodes-langchain.agent
Google Drive
Google Sheets
Sticky Note

Interactive Workflow Diagram

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How to Use This Workflow

1

Download the Workflow

Click the "Download Workflow" button above to get the JSON file.

2

Import to n8n

In your n8n instance, go to Workflows → Import and select the JSON file.

3

Configure Credentials

Set up your @n8n/n8n-nodes-langchain.lm Chat Open Ai and other service credentials in n8n.

4

Activate & Test

Activate the workflow and test it to ensure everything works correctly.

Tags

#code
#split-in-batches
#@n8n/n8n-nodes-langchain.lm-chat-open-ai
#@n8n/n8n-nodes-langchain.tool-calculator
#complex
#code
#development
#workflow-automation

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