document-understanding
2023.4
false
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Document Understanding User Guide

Automation CloudAutomation Cloud Public SectorAutomation SuiteStandalone
Last updated Dec 18, 2024

Offline bundles 2023.4.7

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 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

23.4.7

N/A

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

23.4.7

Invoices

23.4.7

InvoicesAustralia

23.4.7

InvoicesIndia

23.4.7

InvoicesJapan

23.4.7

InvocesChina

23.4.7

Receipts

23.4.7

Certificate of Incorporation/ Good Standing

23.4.7Here

Certificates of Origin

23.4.7Here

Children Product Certificate

23.4.7Here

CMS1500

23.4.7Here

EU Declaration of Conformity

23.4.7Here

Invoices Shipping

23.4.7Here

Pay slips

23.4.7Here

PurchaseOrders

23.4.7

UtilityBills

23.4.7

IDCards

23.4.7

Passports

23.4.7

RemittanceAdvices

23.4.7

BillsOfLading

23.4.7

W2

23.4.7

W9

23.4.7

ACORD125

23.4.7

I9

23.4.7

990

23.4.7

4506T

23.4.7

FM1003

23.4.7

ACORD25

23.4.7

ACORD131

23.4.7

ACORD126

23.4.7

ACORD140

23.4.7

1040

23.4.7

Checks

23.4.7

Bank Statements

23.4.7

Financial statements

23.4.7

Packing Lists

23.4.7

Vehicle Titles

23.4.7

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

23.4.7

Offline bundle dulv4 (latest version)

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 2023.4.

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 2023.4.

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

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