Who is this for?
This workflow is perfect for:
- Companies that manage invoices through Google Drive
- Business owners who want to minimize manual data entry and maximize accuracy
- Accounting teams and finance departments seeking to automate invoice processing
What problem is this workflow solving?
Processing invoices manually is time-consuming, error-prone, and inconsistent. This workflow solves those issues by:
- Automating invoice processing from detection to data extraction to storage
- Improving accuracy by using AI to extract key invoice data fields reliably
- Reducing human workload while maintaining compliance and consistency
What this workflow does
This workflow creates a fully automated invoice processing system by:
- Monitoring a Google Drive folder for new PDF invoices in real time
- Downloading the PDF files and extracting their content using OCR technology
- Using AI (OpenAI) to parse and extract key invoice fields such as invoice number, date, total amount, vendor name, itemized details, tax, and category
- Validating the extracted data to ensure compliance with a structured JSON schema
- Storing structured data in Google Sheets for easy access, review, and reporting
Key Features:
- AI-powered extraction handles both text-based and scanned PDF invoices
- Provides a structured, searchable invoice database in Google Sheets
- Configured to run as frequently as the user needs, ensuring timely processing.
Setup
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Copy the Google Sheet template here:
👉 PDF Invoice Parser – Google Sheet Template
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Connect your Google Drive account to the Drive Trigger and File Download nodes
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Add your OpenAI API key in the AI Parser node
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Link the Google Sheet in the final storage node
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Drop a test invoice PDF into the monitored Drive folder
Required Credentials:
- OpenAI API Key
- Google Drive Credentials
- Google Sheets Credentials
How to customize this workflow to your needs
- Modify the polling interval (default: every minute) for higher/lower frequency.
- Integrate with your accounting software by adding nodes (e.g., QuickBooks, Xero).
- Use alternative LLM such as Gemini, Claude.