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.

Note:

In a scenario where you are using two Automation Suite offline environments - one for development and the other for production, it is important to mirror version consistency. For example, if you are training models on version 2024.10.0 in a development cluster and then move these models to a production cluster, you need to install bundle version 2024.10.0. This is an exceptional use case. As a best practice, always use the latest version of your models for the best results.

Important:

To ensure the compatibility of the model you want to install, check the table below.

Model version	Platform version
	2.2510	2024.10	2023.10	2023.4	2022.10	2022.4
2.2510	✅	❌	❌	❌	❌	❌
2024.10	✅	✅	❌	❌	❌	❌
2023.10	❌	✅	✅	❌	❌	❌
2023.4	❌	❌	✅	✅	❌	❌
2022.10	❌	❌*	❌*	✅	✅	❌
2022.4	❌	❌*	❌*	❌*	❌*	✅

***** - 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	Here

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)	Here

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	Here

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	Here
Invoices	22.10.0	Here
InvoicesAustralia	22.10.0	Here
InvoicesIndia	22.10.0	Here
InvoicesJapan	22.10.0 Preview	Here
InvoicesChina	22.10.0 Preview	Here
Receipts	22.10.0	Here
PurchaseOrders	22.10.0	Here
UtilityBills	22.10.0	Here
IDCards	22.10.0	Here
Passports	22.10.0	Here
RemittanceAdvices	22.10.0	Here
BillsOfLading	22.10.0	Here
W2	22.10.0	Here
W9	22.10.0	Here
ACORD125	22.10.0	Here
I9	22.10.0	Here
990	22.10.0 Preview	Here
4506T	22.10.0	Here
FM1003	22.10.0 Preview	Here
ACORD25	22.10.0	Here
ACORD131	22.10.0	Here
ACORD126	22.10.0	Here
ACORD140	22.10.0	Here
1040	22.10.0	Here
Checks	22.10.0	Here
Bank Statements	22.10.0	Here
Financial statements	22.10.0	Here
Packing Lists	22.10.0	Here
Vehicle Titles	22.10.0	Here

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.