DeepL Glossary Deletion

Description

Manage Your DeepL Glossaries within the Workflow

The AI DeepL Glossary functionality allows you to not only export your OMN glossaries to DeepL, but also delete any previously exported glossaries you no longer need. This gives you complete control over the glossaries used in your AI DeepL translations.

To use the DeepL Translator and DeepL Glossaries in the OMN context, a paid DeepL API Pro subscription must be purchased.
All information about DeepL API Pro can be found here.

API URL

Access to the following URL is needed:

General Parameters

Workflow-Name: ai-translation-glossary-deletion

Key (* = required) Type Default Description Example

ext.ai-translation-glossary-deletion.deepl.apiKey*

string

API Key for the DeepL service.

ext.ai-translation-glossary-deletion.deepl.apiUrl

string

https://api.deepl.com/v2

Base URL of the DeepL API. Note that this needs to be set to the base url only: https://api.deepl.com/v2

https://api.deepl.com/v2

ext.ai-translation-glossary-deletion.deepl.keepLatest

boolean

false

If set to true the Workflow will delete all exported DeepL Glossaries corresponding to the selected OMN Glossary. If set to false, the Workflow will delete all but keep the latest one

https://api.deepl.com/v2

ext.ai-translation-glossary-deletion.audit.attribute.modificationDate

string

The Glossary attribute identifier where to store the date and time the DeepL Glossary was deleted

DEEPL_MODIFICATION_DATE

ext.ai-translation-glossary-deletion.audit.attribute.status

string

The Glossary attribute identifier where to store the last status of the deleted Glossary

DEEPL_EXPORT_STATUS

Example configuration

The following image shows what a sample configuration for DeepL Glossary Deletion might look like.

Deepl Glossary Deletion example configuration

A detailed step-by-step guide to the configuration of the Workflow Config Function plug-in can be found on this page.

Sample file

This sample file is a reference import for DeepL Glossary Deletion, which contains an example configuration.

Support

For questions users can directly contact the DeepL Help Center.

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