UiPath AI Fabric

UiPath AI Fabric

OCR Engines

Hardware Requirements

Machines Involved : VM in the Cloud or On-Prem Box or Laptop
Operating Systems: Windows (Windows 10) or Linux (Ubuntu / CentOS / RedHat)
Computing Engines: CPU or GPU
OCR: UiPath OCR CPU or UiPath OCR GPU or OmniPage OCR CPU

CPU Cores

RAM (GB)

Video RAM (GB)

HDD (GB)

UiPath CPU

4

4

50

UiPath GPU

1

4

8

50

OmniPage CPU

1

2

30

 

Software Requirements

The software requirements for OCR Engines are the same as for Data Manager.

Operating Systems

Linux

If you install the product on a VM in the cloud, the following operating systems are supported:

Software

Versions

Ubuntu

20.04 LTS
18.04 LTS
16.04 LTS

RHEL

7.x

If you install the product on a machine in an on-premises data center, the following operating systems are supported:

Software

Versions

Ubuntu

20.04 LTS
18.04 LTS
16.04 LTS

RHEL

7.x

CentOS

7.x

Windows

See the official Docker website for the list of Windows operating systems supported.
https://docs.docker.com/docker-for-windows/install/
https://docs.docker.com/desktop/enterprise/admin/install/windows/
https://docs.docker.com/ee/docker-ee/windows/docker-ee/

On Windows your machine requires virtualization enabled. We strongly recommend this be done only on physical machines like laptops or desktop workstations. We do not support running on Docker on Windows in Virtual Machines (Cloud or Datacenter) using Nested Virtualization.

Network Configuration

  • Data Manager needs access to OCR engine <IP>:<port_number>. OCR engine might be UiPath Document OCR on premises, Omnipage OCR on premises, Google Cloud Vision OCR, Microsoft Read Azure, Microsoft Read on premises.
  • Robots need access to OCR <IP>:<port_number>. Same OCR options as above, except for Omnipage, which is available in the Robots directly as an Activity Pack.
  • OCR engines need access to the Licensing server hosted by UiPath in Azure, on port 443.

Minimal Trial or Proof-of-Concept Configuration

If you only want to serve pre-trained out-of-the-box models, you can run an OCR engine on your Windows 10 laptop. Make sure Docker Desktop has 8G of RAM available.

If you want to try training a custom model as a demo on a small volume of data (under 100 documents), you can run the OCR Engine on an environment with a limit of 4GB of RAM. For small cases like this, a GPU for the OCR engine may not be necessary.

Updated 5 days ago


OCR Engines


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