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Document Understanding user guide

Last updated Apr 6, 2026

ML Packages Offline Installation

Getting started​

Depending on the models you want to use, you need the following:

  • For models 2022.10 and newer:
    • Download the needed Document UnderstandingTM bundle. Here are the links for all the available bundles. The du bundle contains information about all models included into a specific version. For example, the dusemistructured-2.2510.0.tar.gz contains information about all out-of-the-box pre-trained ML Packages included in the 2.2510.0 version.
  • For models 2022.4 and older (python37duv3 and python37duv4):
    • All ML Packages are provided as a .zip file which is uploaded directly as a Custom Package in AI Center. To download the models, contact your Account Manager, CSM, or Support to receive a download link per package.
    • Download the needed Document Understanding bundle. Here are the links for all the available bundles.
Note:

Updated versions for the dulv bundles are no longer released. The latest version for the dulv bundles is 2023.10.4.

Install the offline bundle​

Offline installations are requiring that the downloaded du bundle to be renamed in the command line into du-ondemand.tar.gz. For instance, if you downloaded the du bundle named dusemistructured-2.2510.0.tar.gz, at installation time you need to rename it as du-ondemand.tar.gz.

  1. For Windows machines, directly download through the bundle link and rename the file to du-ondemand.tar.gz

  2. For Linux machines, from the machine having access to the internet, download the needed bundle using the following command:

    wget -O ~/<bundle-name.tar.gz> 'bundle-link'
wget -O ~/<bundle-name.tar.gz> 'bundle-link'

    Here's an example of how to download the needed bundle for Linux:

    wget -O ~/du-ondemand.tar.gz 'https://download.uipath.com/automation-suite/2.2510.0/dusemistructured-2.2510.0.tar.gz'
wget -O ~/du-ondemand.tar.gz 'https://download.uipath.com/automation-suite/2.2510.0/dusemistructured-2.2510.0.tar.gz'

  3. Copy the following bundle to the /uipath/tmp folder on the main machine of the cluster (where the install took place):

    scp ~/<bundle-name.tar.gz> <username>@<node dns>:/uipath/tmp/
scp ~/<bundle-name.tar.gz> <username>@<node dns>:/uipath/tmp/

  4. Connect to this main machine and load the bundle:

    ./configureUiPathAS.sh registry upload --optional-offline-bundle "/uipath/tmp/du.tar.gz" --offline-tmp-folder "/uipath/tmp"
./configureUiPathAS.sh registry upload --optional-offline-bundle "/uipath/tmp/du.tar.gz" --offline-tmp-folder "/uipath/tmp"

Upload the model to AI Center​

After downloading and installing the models, follow the steps described in the ML packages offline installation page from the AI Center User Guide to upload them to AI Center. Both ML package zip and metadata json files are needed for this procedure.

Form Extractor and Intelligent Keyword Classifier​

Access Form Extractor and Intelligent Keyword Classifier, with the following public URL:

  • <FQDN>/du_/svc/formextractor
  • <FQDN>/du_/svc/intelligentkeywords
Note:

When using a public URL, replace the <FQDN> placeholder with the actual environment information.For example <FQDN>/du_/svc/formextractor becomes https://servicefabricserver.domain.com/du_/svc/formextractor when used in a workflow.

Upload a Document Understanding™ bundle to an external docker registry​

Follow these steps to upload a Document Understanding bundle to your external docker registry:

  • Pull the desired DU image from the UiPath® registry hosted on registry.uipath.com
  • Rename the image host as per your docker registry name.
  • Push the image to external docker registry

Pull the desired Document Understanding images​

Pull the images from UiPath® registry by running these commands:

docker pull <uipath_registry_server>/<image_name>
docker pull <uipath_registry_server>/<image_name>

Here's an example of how to pull the image of the UiPathDocumentOCR bundle from a registry called registry.uipath.com:

docker pull registry.uipath.com/aicenter/du-doc-ocr:v25.10-10.17-rc04
docker pull registry.uipath.com/aicenter/du-doc-ocr:v25.10-10.17-rc04

Rename the image host​

Rename the image host by running the following command:

docker tag <uipath_registry_server>/<image_name> <your_registry_server>/<image_name>
docker tag <uipath_registry_server>/<image_name> <your_registry_server>/<image_name>

Here's an example of how to rename the image of the UiPathDocumentOCR bundle from a registry called registry.uipath.com to a registry called registory.mycompany.com:

docker tag registry.uipath.com/aicenter/du-doc-ocr:v25.10-10.17-rc04 registory.mycompany.com/aicenter/du-doc-ocr:v24.10.0
docker tag registry.uipath.com/aicenter/du-doc-ocr:v25.10-10.17-rc04 registory.mycompany.com/aicenter/du-doc-ocr:v24.10.0

Push the image to external docker registry​

Push the image to your external docker registry by running the following command:

docker push <your_registry_server>/<image_name>
docker push <your_registry_server>/<image_name>

Here's an example of how to push the image of the UiPathDocumentOCR bundle to an external docker registry:

docker push registory.mycompany.com/aicenter/du-doc-ocr:v24.10.0
docker push registory.mycompany.com/aicenter/du-doc-ocr:v24.10.0

Images for each Document Understanding bundle​

2.2510.1​

Document Understanding BundleImage
UiPathDocumentOCRaicenter/du-doc-ocr:v25.10-11.30-rc02
UiPathDocumentOCR_CPUaicenter/du-doc-ocr-cpu:v25.10-11.30-rc02
Extended Languages OCRdu/du-extended-ocr-proxy:v25.10-12.17-rc06 du/uipath-ocr-extended:v25.10-12.17-rc06 du/du-extended-ocr-reporting:v25.10-12.17-rc06
DocumentClassifieraicenter/du-ml-document-type-text-classifier:v25.10-11.30-rc02
Out-of-the-box Pre-trained ML Packagesaicenter/du-semistructured:v25.10-11.30-rc02

2.2510.0​

Document Understanding BundleImage
UiPathDocumentOCRaicenter/du-doc-ocr:v25.10-10.17-rc04
UiPathDocumentOCR_CPUaicenter/du-doc-ocr-cpu:v25.10-10.17-rc04
Extended Languages OCRdu/du-extended-ocr-proxy:v25.10-11.05-rc02 du/uipath-ocr-extended:v25.10-11.05-rc02 du/du-extended-ocr-reporting:v25.10-11.05-rc02
DocumentClassifieraicenter/du-ml-document-type-text-classifier:v25.10-10.17-rc04
Out-of-the-box Pre-trained ML Packagesaicenter/du-semistructured:v25.10-10.17-rc04

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