This n8n workflow automates the process of capturing, extracting, and storing invoice details from uploaded files in Google Drive. It efficiently detects new invoices, uploads them for parsing via LamaParse AI, and then structures the extracted data into Airtable for easy tracking and analysis. The workflow involves a Google Drive trigger monitoring a specific folder for new invoice files, which are then sent through an HTTP request to LamaParse to extract line items like name, quantity, unit price, and amount. The results are processed via a webhook, parsed, and stored into Airtable, creating detailed invoice and line item records. This setup is ideal for businesses aiming to automate invoice data entry, reduce manual effort, and improve data accuracy, making it particularly useful for accounting teams, financial analysts, or automation enthusiasts looking to streamline billing workflows.
Automated Invoice Processing with Google Drive and AI
Node Count | 11 – 20 Nodes |
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Nodes Used | airtable, code, googleDrive, googleDriveTrigger, httpRequest, set, stickyNote, webhook |
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