document-understanding
2022.10
false
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Document Understanding User Guide

Automation CloudAutomation Cloud Public SectorAutomation SuiteStandalone
Last updated Nov 11, 2024

Offline Bundles 2022.10.0

Each offline bundle contains base images used by multiple ML Packages. To make sure which bundle to download for a certain model version, check their compatibility.

Important: To ensure the compatibility of the model you want to install, check the table below.
Model versionPlatform version
2024.102023.102023.42022.102022.4
2024.10availablenot availablenot availablenot availablenot available
2023.10availableavailablenot availablenot availablenot available
2023.4not availableavailableavailablenot availablenot available
2022.10not available* not available* availableavailablenot available
2022.4not available* not available* not available* not available* available
* - Models still work if you upgrade the platform, but they are not actively maintained in this platform version and security issues are no longer fixed. We recommend updating to a newer model to maintain a safe security posture in your environments.

Offline Bundle for UiPathDocumentOCR

The UiPathDocumentOCR offline bundle needs to be installed for the ML Packages in the table below.

ML Packages

Model version

Metadata

UiPathDocumentOCR

22.10.0

Offline Bundle for UiPathDocumentOCR_CPU

The UiPathDocumentOCR_CPU offline bundle needs to be installed for the ML Packages in the table below.

ML Packages

Model version

Metadata

UiPathDocumentOCR_CPU

22.10.0 (latest version)

Offline Bundle for OCR for Chinese, Japanese, Korean

The CJKOCR offline bundle needs to be installed for the ML Packages in the table below. This bundle can be used only on a CPU VM.

If you want to enable Chinese, Japanese, Korean OCR in an offline environment, you also need to follow these steps.

ML Packages

Model version

Metadata

OCR for Chinese, Japanese, Korean

22.10.0 (latest version)

N/A

Offline Bundle for Document Classifier

The Document Classifier offline bundle needs to be installed for the ML Packages in the table below.

ML Packages

Model version

Metadata

DocumentClassifier

22.10.0

Offline Bundle for Out-of-the-box Pre-trained ML Packages

The Out-of-the-box Pre-trained ML Packages offline bundle needs to be installed for the ML Packages in the table below.

ML Packages

Model version

Metadata

DocumentUnderstanding

22.10.0

Invoices

22.10.0

InvoicesAustralia

22.10.0

InvoicesIndia

22.10.0

InvoicesJapan

22.10.0 Preview

InvoicesChina

22.10.0 Preview

Receipts

22.10.0

PurchaseOrders

22.10.0

UtilityBills

22.10.0

IDCards

22.10.0

Passports

22.10.0

RemittanceAdvices

22.10.0

BillsOfLading

22.10.0

W2

22.10.0

W9

22.10.0

ACORD125

22.10.0

I9

22.10.0

990

22.10.0 Preview

4506T

22.10.0

FM1003

22.10.0 Preview

ACORD25

22.10.0

ACORD131

22.10.0

ACORD126

22.10.0

ACORD140

22.10.0

1040

22.10.0

Checks

22.10.0

Bank Statements

22.10.0

Financial statements

22.10.0

Packing Lists

22.10.0

Vehicle Titles

22.10.0

Offline Bundle Dulv4

The dulv4 offline bundle needs to be installed only if you want to use ML Packages from the 2022.4.0 enterprise release with AI Center version 2022.10.

For the metadata links, check out the tables in the 2022.4 Document Understanding User Guide.

Offline Bundle Dulv3

The dulv3 offline bundle needs to be installed only if you want to use ML Packages from the 2021.10 enterprise release with AI Center version 2022.10.

For the metadata links, check out the tables in the 2021.10 Document Understanding User Guide.

Offline Bundle Dulv2

The dulv2 offline bundle needs to be installed only if you want to use ML Packages from the 2021.10 enterprise release with AI Center version 2022.10.

For the metadata links, check out the tables in the 2021.10 Document Understanding User Guide.

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