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document-understanding
2023.10
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Document Understanding user guide

Last updated Apr 6, 2026

Offline bundles 2023.10.3

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 PackagesModel versionMetadata
UiPathDocumentOCR23.10.3Here

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 PackagesModel versionMetadata
OCR for Chinese, Japanese, Korean23.10.3N/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 PackagesModel versionMetadata
DocumentUnderstanding23.10.3Here
Invoices23.10.3Here
InvoicesIndia23.10.3Here
InvoicesJapan23.10.3Here
InvocesChina23.10.3Here
Receipts23.10.3Here
Certificate of Incorporation/ Good Standing23.10.3Here
Certificates of Origin23.10.3Here
Children Product Certificate23.10.3Here
CMS150023.10.3Here
EU Declaration of Conformity23.10.3Here
Invoices Shipping23.10.3Here
Pay slips23.10.3Here
PurchaseOrders23.10.3Here
UtilityBills23.10.3Here
IDCards23.10.3Here
Passports23.10.3Here
RemittanceAdvices23.10.3Here
BillsOfLading23.10.3Here
UB0423.10.3Here
W223.10.3Here
W923.10.3Here
ACORD12523.10.3Here
I923.10.3Here
99023.10.3Here
4506T23.10.3Here
FM100323.10.3Here
ACORD2523.10.3Here
ACORD13123.10.3Here
ACORD12623.10.3Here
ACORD14023.10.3Here
104023.10.3Here
1040ScheduleC23.10.3Here
1040ScheduleD23.10.3Here
1040ScheduleE23.10.3Here
Checks23.10.3Here
Bank Statements23.10.3Here
Financial statements23.10.3Here
Packing Lists23.10.3Here
Vehicle Titles23.10.3Here

Offline bundle for Document Classifier

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

ML PackagesModel versionMetadata
DocumentClassifier23.10.3Here

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 2023.10.

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 2023.10.

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

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