This n8n workflow automates the process of extracting invoice details from email attachments, analyzing the content with AI, and updating a PostgreSQL database with new invoices and company data. The workflow begins with monitoring an email inbox for incoming PDFs, which are then filtered and processed. PDF attachments are extracted and sent to an AI model (e.g., GPT-4) for structured data extraction, including invoice number, issuer, recipient, items, totals, and bank details. The extracted data is then validated against a PostgreSQL database; if the associated company or invoice doesn’t exist, they are added. The workflow also sends a summarized invoice notification to a Discord channel, providing real-time updates. This automation is ideal for accounts payable teams, accounting departments, and automated business workflows that require seamless invoice data management, analysis, and alerts as invoices arrive via email.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, code, discord, emailReadImap, extractFromFile, if, merge, postgres, set, stickyNote