InvoiceOCRScanning.co announces the release of its AI-powered invoice scanning solution, built to quickly and accurately extract data from PDFs, images, and emails. The platform streamlines accounts payable workflows, helping businesses save time and reduce errors.
Washington, United States, 12th Aug 2025 – InvoiceOCRScanning.co has launched its advanced AI invoice scanning platform, designed to automate invoice data extraction and streamline accounts payable workflows. The software quickly captures data from PDFs, scans, images, and emails, then exports it directly to Excel, Google Sheets, QuickBooks, or ERP systems.
Built for accuracy and ease of use, the platform eliminates manual data entry and supports multi-line invoice items. Users can define custom column names, apply rule-based extraction, and link a shared email inbox for automatic invoice processing.
“Our solution takes invoice processing from hours to seconds, with the accuracy businesses need,” said Randy Scott, press contact for InvoiceOCRScanning.co. “It’s a game-changer for teams managing high invoice volumes.”
The software’s template-free AI technology works with various vendor formats without setup, ensuring flexibility across industries. All data is secured with AES-256 encryption, and customer files are never used for AI training.
Early adopters report saving over 20 hours weekly and reducing manual AP work by up to 80%.
About InvoiceOCRScanning.co
InvoiceOCRScanning.co provides high-accuracy AI invoice scanning software to help businesses automate invoice data capture, improve accuracy, and speed up AP processes. The platform supports multiple document types and integrates seamlessly with popular accounting tools.
Media Contact
Organization: InvoiceOCRScanning.co
Contact Person: Randy Scott
Website: https://www.invoiceocrscanning.co/
Email:
randy.scott@invoiceocrscanning.co
State: Washington
Country:United States
Release id:32210
View source version on King Newswire:
InvoiceOCRScanningCo Unveils AI-Powered Invoice Scanning Solution to Automate AP Processes
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