Automate tax deduction processing with GPT-4 receipt analysis and Gmail reporting
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
Nodes used (11)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - If
n8n-nodes-base.if - Extract from File
n8n-nodes-base.extractFromFile - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Merge
n8n-nodes-base.merge - Code
n8n-nodes-base.code - Gmail
n8n-nodes-base.gmail
What it does
How It Works This workflow automates monthly tax processing by ingesting expense receipts alongside revenue data, extracting structured deduction details using GPT-4, and accurately matching expenses to their corresponding revenue periods. It retrieves receipts with built-in type validation, parses deduction information through OpenAI structured output extraction, and consolidates revenue records into a unified dataset. The system then intelligently aligns expenses with revenue timelines, calculates eligible deductions, and generates well-formatted tax reports that are automatically sent to designated agents via Gmail. Designed for accountants, tax professionals, and finance teams, it enables automated expense categorization and optimized deduction calculations. Setup Steps 1. Configure receipt storage source and OpenAI Chat Model API key. 2. Connect Gmail for report delivery and set up tax agent email. 3. Define expense categories, revenue periods, and deduction rules. 4. Schedule monthly trigger and test extraction Prerequisites Expense receipt repository; OpenAI API key; Gmail account; revenue data source Use Cases Accountants automating receipt processing for multiple clients; Customization Adjust extraction prompts for industry-specific expenses, modify deduction rules Benefits Eliminates manual receipt review, reduces categorization errors