PFU America, Inc. Unveils PaperStream® AI to Transform Document Capture with Intelligent Automation

PFU America, Inc., the U.S.-based subsidiary of PFU Limited and the leader in document scanning solutions, today announced the launch of PaperStream® AI, a powerful new AI-driven extension to its flagship PaperStream Capture Pro and Pro Premium software suite. Designed for organizations managing high volumes of business-critical documents, PaperStream AI introduces intelligent automation that streamlines document capture from multiple sources, improves data accuracy, and accelerates the flow of information into downstream systems.

As enterprises continue to face increasing pressure to process information faster and more accurately, traditional document workflows, which are often reliant on manual setup, template creation, and verification, have become a barrier to efficiency. PaperStream AI addresses these challenges by applying advanced AI capabilities to automatically recognize, clarify, and extract data from a wide range of document types with minimal configuration or re-architecting existing systems.

PaperStream AI enhances the capabilities of PaperStream Capture Pro and Pro Premium by enabling horizontal and process-driven organizations and departments to move beyond basic scanning and OCR toward fully automated, intelligent workflows. The new solution converts content from incoming business documents—from invoices and purchase orders to healthcare forms and logistics documents—into structured, usable data that can drive business operations and analytics.

PaperStream AI is ideal for data-intensive environments across finance, mailrooms, logistics, and business process outsourcing (BPO), where speed, accuracy, and efficiency are critical. By transforming document-based information into structured, AI-ready data, organizations can support use cases such as automation validation, compliance workflows, and retrieval-augmented generation (RAG) systems.

“Deploying AI technologies in business systems must deliver real, measurable value in everyday work,” said Satoshi Kubo, President and CEO, PFU America, Inc. “With PaperStream AI, we are helping our customers move beyond entry-level digitization to truly intelligent document workflows by reducing manual effort, improving data quality, and enabling faster, more confident decision-making.”

Key features and benefits of PaperStream AI include:

• AI-powered document recognition from the first scan: Automatically identifies and processes diverse document types without manual template setup, enabling immediate deployment and faster time to ROI.
• Advanced data extraction with 99.99%¹ recognition accuracy: Uses AI-driven interpretation, including index-level prompting and line-item extraction, to capture structured data from complex and unstructured documents.
• End-to-end workflow automation: Combines capture, recognition, and verification into a unified process, reducing manual touchpoints and accelerating document processing that allows for 98%²  faster turnaround from end-to-end automation.
• Operational visibility through an intuitive dashboard: Provides real-time insights into processing activity, accuracy, and performance, helping organizations optimize workflows and improve outcomes.
• Flexible, scalable deployment: Supports incremental adoption from departmental use to enterprise-wide rollout, with low-code integration into existing systems and workflows.

PaperStream AI will be available starting June 1, 2026, as an additional paid extension for the latest version of PaperStream Capture Pro and Pro Premium via tiered pricing plans. For more information on PaperStream AI, please visit https://www.pfu-us.ricoh.com/scanners/fi/solutions/paperstream-ai.

¹ Based on verification using PFU-defined standard forms. Recognition accuracy was measured using images scanned at 300 dpi in full color. It is calculated based on a comparison between PaperStream AI recognition results following the training process and reference data prepared by PFU. Certain characters (such as spaces, commas and line breaks) are excluded from the evaluation.

² Based on verification conducted by PFU using A4 invoice documents (printed text) scanned at 300 dpi in full color. OCR processing time was measured from the start of recognition processing to completion by PaperStream AI. Scanning, verification and correction times are estimated based on typical operational assumptions. Actual time savings may vary depending on document content, workflow and operating environment.