Liberty RPA

AI-Power

Liberty RPA has powerful built-in AI tools designed to make process flows more robust, more powerful and more personal.

Local AI Processing

When using AI capabilities, Liberty RPA downloads the necessary components and machine learning (ML) models to the local desktop on which the robot is running. This means processing is done locally without the need to round-trip data to the cloud. This delivers substantially improved performance as network latency issues are eliminated.

It also means your data stays local and doesn’t need to be processed on a remote server somewhere on the internet.
In addition, you have even greater control by being able to specify the version of an ML model required for a process flow.

Powerful and robust

Using AI enables Liberty RPA to make process flows run far more reliably. Unlike standard RPA tools which rely on fragile methods of data capture which easily break, AI-power reduces failures, support and management costs while widening the scope of automation that can be addressed.

RPA includes the AI-powered ‘Wand’ to identify onscreen elements, optical character recognition (OCR) to read text on a screen, natural language processing capabilities allowing AI to answer questions and determine context and handwriting digit recognition.

Liberty RPA includes a number of built-in AI capabilities designed to be downloaded and run locally by the software robot to enhance the power and resilience of process flows. Together these allow enterprises to pragmatically put AI to use to automate even more processes end-to-end.

Key features


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Computer vision

RPA Wand uses computer vision techniques to identify on-screen elements. Rather than identifying elements by their pixel position on the screen, Wand recognises on-screen elements so that they can be identified even when they move around the screen or if the screen resolution changes. Even when an icon changes appearance (such as the Recycle Bin when it’s empty or full), Wand correctly identifies it so that it can be clicked on as part of a process flow. Our goal is that if it can be identified by a person, Wand should also be able to identify it too.
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Optical character recognition (OCR)

OCR allows on-screen elements to be read and actions to be taken based on what is found. This allows decision making based on the contents of an on-screen document. It also makes it possible to read and perform actions on mobile devices when they’re available to access through a window on a desktop, using logic loops and decision making.
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Natural language processing (NLP)

AI routines for NLP allow Liberty RPA to ‘read’ on-screen text and better understand its content. Capabilities such as sentiment analysis allow enquiries for example, to be routed to the appropriate point for actioning. RPA also supports the Bert QnA model that allows AI to answer questions and determine context making process flows more flexible and powerful. Handwriting digit recognition is also supported.
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Get started quickly

RPA includes a number of one-click examples that ship out-of-the-box to help you get started. These show how easy RPA is for performing tasks such as manipulation of web browsers, search engines, Office documents, PDF creation and appointment booking to name just a few. In addition, the Netcall Community has a growing library of process flows made available by Netcall, partners and customers.