Deliver to market faster with a streamlined process

Deliver faster

Time is essential for business success. Even if you created some features earlier than your competitors, talking about them to all your customers is extremely important. But your translation should be fast, high-quality, and delivered for the audience without delay. Microsoft Azure DevOps integration by Lingohub was made to speed up the entire localization and bring your success closer.

Automate the localization process

Automated file exchange between the Microsoft Azure DevOps repository and Lingohub provides effective file transferring. Such an approach streamlines the entire process and helps to avoid human mistakes, misunderstandings, and time spent.

Seamless synchronization

Synchronize resource files back and forth between Lingohub and your Azure repository. Any changes you make to your files will be instantly available to translators, and they can start working on them right away. You can instantly, periodically, or manually synchronize your files, then push all the changes directly or create a pull request.


Connect in a few clicks

Best practices

Lingohub tips

Microsoft Azure DevOps

Issues in files could affect the issues in development. Quality checks help to avoid a large number of possible mistakes like incorrect placeholders, tags, HTML markups, duplication, etc., to provide error-free files.

Microsoft Azure DevOps


Incorporate Prefill's automatic translation feature into your workflow on Microsoft Azure DevOps to speed up the translation process for your segments significantly.

Questions left? Read the detailed information in Help Center

empower your team

Best for

For managers
Make the localization process faster and more efficient by reducing manual tasks.
For developers
Do not hassle about manual file import/export; focus on the engineering work that truly matters.

Get started today

Start a free trial with Lingohub right now. No credit card is required.  Try all capabilities for your project and get closer to fast and quality localization without manual work. 

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