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.
For a physical machine this is done from the boot menu.
For a Cloud VM this depends on which VM you have.
Click here for the list of VMs with virtualization enabled in Azure. They are marked with 3 asterisks in the vCPU: Core column.

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 2 months ago


OCR Engines


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