InvoiceRecognitionSoftware.co releases an AI tool that extracts invoice data to Excel or Google Sheets in seconds. It helps AP teams save time, cut errors, and scale without extra hires.
Illinois, United States, August 15, 2025 – InvoiceRecognitionSoftware.co announced the launch of its AI-powered invoice recognition platform built for accounts payable automation. The software captures data from PDFs, scans, images, and emails and delivers clean spreadsheets in seconds.
Users can upload files or connect a shared inbox for automatic intake. The platform pulls key fields such as vendor, dates, totals, and line items and then exports results to Excel, Google Sheets, QuickBooks, or ERP systems. No templates or custom setup are required. Teams can add simple rules in plain English to control how data is extracted and formatted.
The system works across many invoice layouts with high accuracy. Customers report major time savings and faster month-end close. A built-in audit trail and structured column outputs make review and reconciliation easier for AP teams.
Security and compliance are a priority. InvoiceRecognitionSoftware.co uses AES-256 encryption to protect data at rest and in transit, is fully HIPAA compliant, and does not use customer files for AI training.
“Accounts payable teams spend too much time on manual data entry,” said Brian Parker, press contact at InvoiceRecognitionSoftware.co. “Our platform speeds up invoice processing, improves accuracy, and protects sensitive information with the highest security standards.”
About InvoiceRecognitionSoftware.co
InvoiceRecognitionSoftware.co provides reliable AI invoice recognition for finance teams. The platform delivers fast extraction, accurate results, and seamless integrations to help organizations automate AP from intake to export.
Media Contact
Organization: InvoiceRecognitionSoftware.co
Contact Person: Brian Parker
Website: https://www.invoicerecognitionsoftware.co/
Email:
brian.parker@invoicerecognitionsoftware.co
State: Illinois
Country:United States
Release id:32401
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