Robotic Process Automation

Automating the digital imaging workflow

Robotic work cell for automated digital imaging

Automated Digital Imaging

Ripcord’s digitization is divided into two subprocesses: the conversion process and the management process. Ripcord automates 80% of the conversion process—which includes paper handling, fastener removing, and digital imaging. Canopy’s auto-classification automates 80% of records classification and with more training by your records managers, classification accuracy can reach upwards of 90%. Once classified, maintaining your records becomes a breeze with easy to use record retention and disposition policy management.

See how Ripcord Canopy helps you access your records

The benefits of robotic process automation

Accuracy

Accuracy

Robots are more efficient at removing staples and other fasteners which minimizes risk of paper jams and tears. Manual cataloging and indexing is error prone. Our Workcells digitize records in full color at 600 dpi, which significantly increases our OCR accuracy compared to traditional digitization services that scan between 150 dpi and 300 dpi.

Speed

Speed

Our Workcells can process an entire banker box within 1 – 2 hours whereas it would take a human about 4 – 6 hours to digitize the same content. At scale, Ripcord can process thousands of boxes per day.

Security

Security

Using robots to digitize paper is inherently more secure. Robots do 90% of the paper handling and 90% of the indexing. This means you don’t have to worry about the wrong people reading your most sensitive documents.

A MULTIDISCIPLINARY INNOVATION

We often get asked, “Why has no one done this before?” The truth is, creating a solution like this—one that converts the inherent chaos of paper inside boxes to ordered, digital documents that are easy to find—requires bringing together a variety of technical disciplines.

Ripcord has built that team, comprised of industrial roboticists, machine vision engineers, mechanical engineers, operations specialists, data scientists, machine learning experts, software developers, and infrastructure and security experts. The result is the world’s most advanced paper handler.

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