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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
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  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

InvoiceOCRScanning Launches Automation Tool for Invoice Data Extraction

InvoiceOCRScanning.com introduces advanced AI OCR technology to help AP teams extract invoice data faster, reduce errors, and save over 20 hours each week.

California, United States, 12th Aug 2025InvoiceOCRScanning.com has launched an advanced AI OCR platform built to completely overhaul the way businesses handle invoices. Designed for speed, accuracy, and ease of use, the software captures data from PDFs, scans, images, and emails, then formats it for direct export to Excel, Google Sheets, QuickBooks, or ERP systems.

Instead of relying on slow, template-based tools, the platform’s template-free AI instantly adapts to multiple vendor formats, even for highly varied invoice layouts. Users can create custom extraction rules in plain language and set up an automated inbox that processes incoming invoices and attachments the moment they arrive.

“This is about giving AP teams their time back,” said Scott Ruiz, Media Contact for InvoiceOCRScanning.com. “Our customers are processing invoices in seconds instead of hours, saving over 20 hours every week while improving accuracy.”

Security remains a top priority. Data is encrypted with AES-256 both at rest and in transit, and customer files are never used to train AI models.

About InvoiceOCRScanning.com

InvoiceOCRScanning.com delivers AI-powered OCR solutions to simplify and accelerate invoice processing. By replacing manual data entry with fast, automated extraction, the platform helps businesses reduce errors, boost productivity, and scale without hiring more staff.

Media Contact

Organization: InvoiceOCRScanning.com

Contact Person: Scott Ruiz

Website: https://www.invoiceocrscanning.com/

Email:
sruiz@invoiceocrscanning.com

State: California

Country:United States

Release id:32207

View source version on King Newswire:
InvoiceOCRScanning Launches Automation Tool for Invoice Data Extraction

It is provided by a third-party content provider. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release.

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