Document Automation v.40 release
- Updated: 2026/03/30
Review what's new and changed, and the fixes and limitations in Document Automation for the v.40 release.
What's new
| Copy or delete projects in Standard Forms You will now be able to
copy or delete projects when using Standard Forms.
|
What's changed
| Import and export learning
instances using Model connections When you import or export a learning instance, the Model connection configuration is included in the learning instance. When you import a learning instance that was using a Model connection, the Include the Generative AI Model connection option is introduced on the Import Learning Instances page to review the Model connection option before importing the learning instance. |
| Enhanced
zoom controls when validating documents Users validating documents can now zoom in on documents up to 500 percent and select specific zoom levels. Users can also continue to use the zoom in and zoom out controls, and the selected zoom level is reflected in the drop-down option. |
Fixes
| The alignment of
IF and THEN
conditions in field rules is now displayed correctly.
Previously, these conditions were misaligned. |
| Correct label is displayed for the
Confidence option when the Control Room is set to a language other than
English. Previously, the label was incorrectly displayed in certain languages. |
| In the Advanced training
settings option, the table fields that are not selected
for validation feedback are no longer displayed in the
Primary Column drop-down. Previously, such table fields were displayed in the Primary Column drop-down in certain scenarios. |
| Data extraction will no longer fail when you copy a
learning instance that is using a third-party parser configured
in Document Automation and process documents using the
copied learning instance. Previously, data extraction failed in such a scenario. |
| When creating or editing a learning instance, field
properties are now retained after changing the data type before
entering a label for a field. Previously, changing the data type reset all configured field properties. |
Limitations
| When you create and process a document using a learning instance in the private repository, move the associated process to the public repository, and then submit the document from the validator, the Download data automation will fail. |
| Limitations from previous releases |
|---|
| When you try to check in a process without having the required permissions, the audit log entry for this event will include Source as Control Room instead of Document Workspace and Item name as Unknown instead of <learning-instance-name>. |
| When you use a regular expression for a
table field without defining an alias, the regular expression might
not be considered for extracting the data. Workaround: Define an alias for the table field before using a regular expression. |
| When you process documents containing multiple tables in Standard Forms, the order of the tables extracted is reversed. |
| Document extraction will fail with the error “500: Internal Failure , Failed to initialize ABBYY’ when you change the default path (C:/ProgramData/AutomationAnywhere/GlobalCache) of Global Cache Location for your devices. |
| When you edit and check in a process
linked to a public learning instance that is using Cloud Extraction Service, the extraction bot might not be visible in dependencies, and
document processing might fail. Workaround: Use one of the
following options:
|
| When you process documents with file names greater than or equal to 75 characters in test mode, you might not see improvements in the reprocessing time for such documents. |
If you have disabled the OCR provider
in the administrator settings and if you are using a language other
than English for your Control Room, you will see an
error to enable the OCR provider settings in English in the
following scenarios:
|
| When you use the Document Classifier
actions (Classify, Classify documents, and Train
Classifier) and Extract Data action in the Document Extraction
package together in a bot, the bot will fail to execute. Workaround: Ensure that you create separate bots when using any of the actions from the Document Classifier package and the Extract Data action of the Document Extraction package. If you need to execute these bots in a sequence, include these bots in an Automation Co-Pilot process. |
| When a user processes a document on a custom process learning instance, the validate document count is not updated post extraction. Also, if the user submits the document, the validate document count is updated with a negative value. |
| A user with the Automation Co-Pilot administrator permissions is unable to view the Document Automation tasks that are assigned or requested and are in pending or complete status. |
| When you are using the IQ Bot Pre-processor
package
actions and if the Output folder
path contains Japanese characters, you will see an
error when processing documents. Workaround: Create an output folder in a folder path that does not contain any Japanese characters and provide the path in the output folder path field. |