When choosing a translation management system, the evaluation usually starts with a feature checklist: AI capabilities, GitHub integrations, and a smooth UI for translators. But when you look closely at the pricing page, things get tricky. The real differentiator often isn't the feature set – it's how the platform counts your words. The localization market is currently split between two fundamentally different pricing models: Hosted Words and Processed Words. While the distinction might seem technical on paper, it directly impacts your bottom line. It determines whether you pay for the actual size of your product or for every single action your team takes inside the platform. Let’s look at how these models work and where the hidden costs are buried.

Every two weeks, Holafly sends a new version of its mobile app out to users worldwide. The app helps travelers track data usage, manage roaming, and earn rewards like "HolaCoins" across 16 languages. Behind this global operation is Marcel Pintó Biescas, Head of Mobile at Holafly. We came across his post on LinkedIn, where he shared Holafly’s new localization workflow, and decided to ask more deeply about their approach. Marcel’s team ran into a classic problem: their localization process was slowing them down. This is the technical story of how they fixed it by building a custom AI development skill and connecting it to Crowdin.

Efficiently managing localization workflows requires more than just moving files from point A to point B. In product or enterprise companies,, different types of content (like UI strings, technical documentation, or marketing copy) often require different processing steps. In Crowdin Enterprise, a workflow is a visual sequence of steps that automates how content moves through translation steps. Instead of manually assigning tasks for every new batch of strings, you build a workflow template that handles the routing, translation, and review logic automatically. In this article, we will discuss: - How to automate and manage visual localization workflows to eliminate manual file handoffs. - Workflow steps available in Crowdin Enterprise, from traditional to advanced AI features. - Real-world enterprise use cases, including path filtering for legal compliance and handling rapid software releases without losing context.

When most of us think about localization, we picture someone quietly working through spreadsheets, swapping words from one language to another. Aydin Gür’s reality couldn’t be further from that image. As an Apple Retail Globalization Editor for the Turkish market, he’s reviewed and signed off on over 10 million words of customer-facing content, and his team hasn’t had a single escalation since 2018. In this episode of the Agile Localization Podcast, host Stefan Huyghe sat down with Aydin to unpack how he pulls that off, and the stories he shared were equal parts illuminating and entertaining.

When you are running dozens of localization projects, keeping track of every moving piece is hard. How do you ensure your AI engines always have enough context, your glossaries stay updated, and your published content doesn't go stale? This month, we are introducing automated guardrails to handle that operational maintenance for you. Crowdin Advisors: A background check for your project setup that automatically flags missing screenshots, thin glossaries, or unattached style guides, and many more. Re-Translation: A two-click workflow to refresh and upgrade already published AI translations whenever your pipeline improves. Crowdin Copilot in the Global UI: A personal assistant pinned directly to your top navigation bar to run complex bulk actions across your workspace via simple chat. Let's dive into the details.

When we think about shipping a product, documentation often gets treated like an afterthought, something tacked on right before the release, or worse, weeks after it. But what if the docs are the product? And what if the moment you start writing them is already too late for localization? In a recent episode of The Agile Localization Podcast, host Stefan Huyghe sat down with Rutva Safi, Senior Technical Writer at Gantner India, to explore exactly this. Rutva brings a unique lens to the conversation. With over eleven years in IT, spanning roles from developer to business analyst, quality analyst, and even law, before finding her true calling in documentation.