Automated Invoice Processing with OCR & AI for Airtable AP
Automates extraction of invoice data from email attachments using OCR and AI, then stores it in Airtable for approval and payment tracking.
This workflow automates accounts payable (AP) processes by monitoring emails for invoice attachments. Upon receipt, it employs OCR to scan and extract text from PDFs or images, followed by AI-powered parsing with OpenAI's GPT-4o model to structure key data like invoice date, due date, amounts, and vendor details using a predefined JSON schema.
The extracted data is seamlessly inserted into an Airtable base, populating an intuitive interface for review. Users can approve invoices directly, and as due dates approach, they appear in a 'Due Invoices' view for payment tracking, reducing manual entry errors and speeding up processing.
Benefits include significant time savings (hours per invoice batch), higher accuracy via AI over manual input, and centralized tracking in Airtable. Ideal for small businesses, finance teams, or AP departments handling 10-100 invoices monthly, integrating effortlessly with email (e.g., Gmail/Outlook) and Airtable for scalable automation.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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