Extract and validate invoice data from Google Drive using OCR.Space, Gemini, and Google Sheets

Quick overview This workflow monitors a Google Drive folder for newly uploaded invoice files, extracts text with OCR.Space, uses Google Gemini to convert the OCR text into structured invoice fields, validates required values, then stores results in Google Sheets and sends Gmail notifications for success or manual review. How it works 1. Triggers when a new file is created in a specified Google Drive folder. 2. Downloads the uploaded invoice file from Google Drive and checks that the MIME type is PDF, JPG, JPEG, or PNG. 3. Sends the file to the OCR.Space API to extract the invoice text and stops if OCR reports a processing error. 4. Uses Google Gemini to convert the OCR text into structured JSON containing supplier, invoice metadata, amounts, currency, and line items. 5. Validates and normalizes the extracted fields, flags missing required values, and marks the record for manual review when needed. 6. If manual review is required, sends a Gmail alert listing missing fields; otherwise, appends key invoice fields to Google Sheets and sends a Gmail confirmation email. Setup 1. Connect Google Drive OAuth2 credentials and set the folder ID to watch for invoice uploads. 2. Provide an OCR.Space API key and ensure the HTTP request node uses it instead of the sample value. 3. Connect Google Gemini (PaLM) credentials and confirm the selected model is available in your account. 4. Connect Google Sheets OAuth2 credentials and update the spreadsheet/document ID and sheet tab where invoices should be appended. 5. Connect Gmail OAuth2 credentials and update the recipient email address(es) for manual review alerts and processing confirmations. Additional info How To Customize Nodes Invoice Upload Trigger Customize: - Polling frequency - Folder location - Trigger conditions Possible enhancements: - Multiple invoice folders - Department-specific folders OCR Extraction Node Customize: - OCR language - OCR provider - Processing parameters Possible alternatives: - Google Vision API - AWS Textract - Azure Document Intelligence Gemini AI Extraction Modify the prompt to extract additional invoice fields such as: - Purchase Order Number - Payment Terms - Due Date - GST Number - Vendor Address Validation Logic Update the Code node to: - Add more required fields - Define custom validation rules - Add confidence scoring Google Sheets Storage Add additional columns such as: - Tax Amount - Currency - Invoice Date - Processing Timestamp Email Notifications Customize: - Recipients - Email templates - Escalation rules - Department routing Add-ons The workflow can be extended with the following enhancements: ERP Integration Push validated invoices into: - SAP - Oracle ERP - Microsoft Dynamics - NetSuite Accounting Integration Automatically create records in: - QuickBooks - Xero - Zoho Books Approval Workflow Add multi-level invoice approval processes before payment. Duplicate Invoice Detection Compare invoice numbers against historical records to identify duplicates. Vendor Master Validation Verify supplier information against approved vendor databases. Dashboard & Reporting Build real-time dashboards using: - Google Looker Studio - Power BI - Tableau Cloud Storage Archival Automatically archive processed invoices into: - Google Drive - Dropbox - Amazon S3 Use Case Examples 1. Accounts Payable Automation Automatically process incoming supplier invoices and store validated records without manual entry. 2. Vendor Invoice Management Centralize invoice collection, validation, storage, and notification processes. 3. Accounting Data Capture Extract structured accounting data from scanned invoices and receipts. 4. Shared Services Operations Support finance teams processing invoices from multiple departments or locations. 5. SMB Finance Automation Enable small businesses to automate invoice processing without investing in expensive ERP systems. Additional Possibilities This workflow can also be adapted for: - Purchase orders - Expense receipts - Utility bills - Vendor