Code.org needed a faster, more scalable way to keep multilingual educational content up to date for learners worldwide. Their existing process relied heavily on manual coordination, human review cycles, and engineering support to get translated content live.

With Localize, Code.org moved to a workflow that combines AI translation, targeted human review, in-context editing, glossary support, and real-time publishing. The result was a faster, more manageable localization process that helped the team improve consistency across languages without adding more internal resources.

Results at a Glance

• Reduced localization cycle times by 50%+ and cut localization cycle times from weeks to days
• Eliminated 1-2-week publishing delays with real-time multilingual updates
• 107M+ students served globally across 190+ countries
• Scaled localization without expanding headcount

The Challenge

Code.org had already made localization a priority, but the process was becoming difficult to scale. As more content needed to be translated and maintained, the team faced slow review cycles, manual coordination across contributors, and delays between completed translations and live updates.

The biggest issue was not just translation speed. It was the operational effort required to move content through review, publishing, and ongoing updates.

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Why It Mattered

For Code.org, localization is tied directly to access. The organization supports learners and teachers around the world, so multilingual content needs to be timely, accurate, and easy to maintain. Delays in the localization process created friction for global users and made it harder for the team to keep content aligned across languages.

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The Localize Approach

Localize helped Code.org shift from a heavily manual process to a more scalable localization workflow.

The team uses AI translation to generate first-pass translations quickly, then routes content through human review where cultural relevance, tone, terminology, and accuracy matter most. In-context editing gives reviewers visibility into how translations appear on the page, while glossary tools help maintain consistency across global content.

Localize also made it easier to onboard contributors, manage review workflows, and publish updates without waiting weeks for engineering support.

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The Results

Code.org cut translation and localization cycle time by more than 50%. Updates that previously took one to two weeks to publish can now go live in real time, helping the team keep multilingual content continuously up to date.

With glossary support and quality workflows in place, Code.org also improved consistency in tone, terminology, and quality across languages. The team can now support global learners with a faster, more sustainable localization process.

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What Similar Teams Can Learn

If multilingual content changes often, localization cannot be treated like a one-time translation project. Teams need a workflow that supports speed, review, consistency, and ongoing updates. Localize helps teams reduce manual coordination, improve review visibility, and keep translated content up to date as their needs grow.