Localization Tips and Product Updates

Localization has never been more essential or complex than it is today. Businesses aiming for global reach rely on seamless translations, localized interfaces, and culturally appropriate content to connect with diverse markets. However, despite all the advancements in localization tools, a critical gap remains: they often fail to meet the needs of buyers. Localization at scale isn't for the faint of heart. With 24 languages, 2.7 million words annually, and over 400 developers producing content daily, Pipedrive has mastered the art of agile localization. At the helm of this monumental task is David Edwards, Group Design Manager of Internationalisation. In a recent episode of The Agile Localization Podcast, David shared insights into how Pipedrive manages its vast and complex localization operations. From the importance of automation to working seamlessly with developers, here's a behind-the-scenes look at Pipedrive's localization machine. Listen to the new episode on: - Apple Podcasts - Spotify - YouTube

In January 2025, we closed 262 tasks and completed 462 deployments. Among the key updates, we introduced Crowdin.ai in beta, offering AI-powered localization aimed at indie developers, focusing on faster turnarounds. Additionally, the new Vector Memory App helps improve translation accuracy by using non-bilingual, relevant, translated files as reference. We also enhanced our Translation Costs and Cost Estimate reports by adding weighted word counts and more.

How do you manage multilingual content across ten languages, process over 6 million words annually, and still keep stress levels low? That's a question Edwin Trebels of the Philadelphia Church of God seems to have mastered. In a recent episode of The Agile Localization Podcast, Edwin joined host Stefan Huyghe to share how his team leverages automation, collaboration, and cutting-edge tools like knowledge graphs to streamline workflows and maintain a culture of transparency. Listen to this episode of The Agile Localization Podcast on: - Apple Podcasts - Spotify - YouTube

Localization has never been more essential or complex than it is today. Businesses aiming for global reach rely on seamless translations, localized interfaces, and culturally appropriate content to connect with diverse markets. However, despite all the advancements in localization tools, a critical gap remains: they often fail to meet the needs of buyers. In this episode of The Agile Localization Podcast, host Stefan Huyghe is joined by Localization Consultant Boryana Nenova. They discuss the importance of shifting localization tools from translator-centric to buyer-centric, or at the very least, to be appropriate for both. Boryana dives into top features buyers demand in localization tools, why developers and linguists are clashing over localization tools, AI’s localization impact, and what localization tools are missing. Listen to this episode of The Agile Localization Podcast on: - Apple Podcasts - Spotify - YouTube

As we wrap up this year, we'd like to take a moment -- between New Year's celebrations and family gatherings -- to look back at the progress we've made in 2024. From brand-new AI features to welcoming world-class clients, it's been a year of breakthroughs at Crowdin. We closed 3174 tasks from our task manager, so we have a lot to cover. Ready for a quick tour? Let's dive into the highlights that shaped 2024!

In the last release notes of the year, we're going to share exciting updates we did this month. In December 2024, our team closed 214 tasks from the task manager and completed 383 deployments. It includes the ability to add AI proofreading as a workflow step in Crowdin Enterprise, reusable custom properties fields for AI prompts, and the ability to share limited access to integrations with ZenMode. We’ve also enhanced screenshot auto-tagging, brought pre-translation progress tracking on the project page, and introduced a free course to help linguists get started with Crowdin. Dive in to explore all the updates.

Polhus, used Crowdin’s AI and DatoCMS integration to localize their website. 75% of translations were AI-generated and ready for publication, saving $80,000 and hours of work. With AI and human review, they achieved high-quality translations for 1.6 million words in 7 languages. Curious about how they did it? Read the full story in the post.