Introduction

Jedox is a powerful platform for enterprise planning, but when teams span multiple languages, communication can become a challenge. That’s where DeepL, an AI-powered translation service, comes in. In this post, we’ll explore why integrating DeepL with Jedox makes sense, how to do it, and where it can add real value—especially in translating comments and user-generated content.


Why DeepL?

  • Accurate translations: DeepL is widely praised for its natural-sounding translations, especially in business contexts.
  • Fast and scalable: Translate content instantly without leaving Jedox.
  • Improved collaboration: Make dashboards and reports accessible to global teams.

How to Integrate DeepL with Jedox

Step 1: Get Your API Key

Visit https://developers.deepl.com/docs/getting-started/intro and sign up for an API account. You’ll receive an auth_key to use in your requests.

deepl token

Step 2: Create a REST Connection in Jedox Integrator

  • Go to Integrations > Connections
  • Choose REST as the connection type
  • Set the base URL:https://api.deepl.com/v2/translate
  • Add parameters:
    • Authorization=DeepL-Auth-Key [YOUR_API_KEY]
    • Content-Type: application/json
    • Accept: application/json
    • text=YourText
    • target_lang=EN (or any supported language code)
deepl integration

Use Cases in Jedox

1. Translating Cell Comments

Enable users to write comments in their native language and have them auto-translated for reviewers in other regions.

2. Multilingual Dashboards

Use DeepL to translate labels, headers, and dynamic content based on user language preferences.

3. Input Validation

Translate and normalise user input before storing it in the database.

4. Workflow Notifications

Send translated alerts or messages to users based on their preferred language.

Real-World Example

In my own setup, I created a WSS file where users can write comments on a specific dimension set. When they click the Translate button, the comment is automatically translated into the chosen language using DeepL. This has been especially useful for cross-regional planning reviews and multilingual collaboration.


Additional Resources

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