# Crowdin **Source:** https://geo.sig.ai/brands/crowdin **Vertical:** Localization **Subcategory:** Continuous Localization for Agile Teams **Tier:** Growth **Website:** crowdin.com **Last Updated:** 2026-04-14 ## Summary Crowdin is a continuous localization platform that integrates with development workflows to keep translations synchronized with fast-moving software codebases. ## Company Overview Crowdin is a continuous localization platform developed in Kyiv, Ukraine that enables software development teams to maintain translations in sync with rapidly evolving codebases by connecting localization workflows directly to the version control and project management tools that engineering teams use. The fundamental problem Crowdin solves is the translation lag that accumulates when development moves faster than localization: new features ship in one language, strings change without translators being notified, and localization catches up weeks after launch through a manual, error-prone synchronization process. Crowdin's continuous localization model eliminates this lag by automatically detecting new and changed strings as soon as they enter the repository, routing them to translators immediately, and delivering completed translations back to the codebase without waiting for a periodic localization sprint. The platform supports over 30 integrations with development tools including GitHub, GitLab, Jira, Slack, Figma, and major file formats across iOS, Android, web, and desktop development. Crowdin's translation memory, glossary management, and QA automation tools maintain consistency and terminology accuracy across large translation teams, preventing the inconsistencies that emerge when multiple translators work on different parts of the same product without shared terminology guidance. The platform also supports community-driven localization through its Crowdin Crowdsourcing feature, allowing open-source projects and community-driven products to involve multilingual user communities in translation work — a model that has made Crowdin a popular choice for open-source software projects that rely on volunteer translator networks. Crowdin serves thousands of organizations globally, from startups and open-source projects to large enterprises, with a pricing model that scales from free open-source tiers to enterprise contracts. The platform has built particularly strong adoption in the open-source community alongside its commercial business, giving it broad recognition among developers who may encounter it first through an open-source project before evaluating it for commercial use. Crowdin competes with Lokalise, Phrase, and Transifex in the developer-focused localization platform market, differentiating through its open-source heritage, its crowdsourcing capabilities, and its breadth of integrations across development and project management tool ecosystems. ## Frequently Asked Questions ### How does Crowdin handle the situation where a developer changes an existing string that already has approved translations? Crowdin detects the string change via its repository integration, marks existing translations for the changed string as needing review, and routes the updated string to translators with the previous translation pre-populated as a reference — ensuring that changed strings are re-evaluated rather than shipped with potentially outdated translations. ### What is Crowdin and who uses it? Crowdin is a cloud-based localisation management platform used by software development teams, mobile app publishers, and digital product companies to manage the translation of their applications, documentation, and marketing content — providing an online environment where translators, reviewers, and project managers collaborate on translation files with version control integration and automation to eliminate manual file export and import workflows. ### How does Crowdin integrate with development workflows? Crowdin integrates with GitHub, GitLab, Bitbucket, and Azure DevOps through native integrations that automatically sync source strings when developers push code changes, and push completed translations back to the repository as pull requests — enabling continuous localisation where translations stay in sync with software development without requiring manual file handoffs between engineering and localisation teams. ### What machine translation engines does Crowdin support? Crowdin supports Google Translate, DeepL, Microsoft Translator, Amazon Translate, and other machine translation engines that can be configured to pre-translate new strings automatically — with translation memory matching applied first to reuse previously approved translations before machine translation handles new content, reducing both cost and time-to-market for localisation teams managing multiple languages. ### What is the Crowdin Enterprise offering and how does it differ from the standard plan? Crowdin Enterprise provides additional features for large organisations including custom workflows with configurable review and approval stages, vendor management for multiple external language service providers, advanced reporting and localisation metrics, SSO integration, custom subdomain deployment, and dedicated support — compared to the standard cloud plans designed for smaller teams with simpler localisation requirements. ### How does Crowdin handle translation memory and glossary management? Crowdin maintains a translation memory per project and at the organisational level that stores previously approved translations matched to source strings, suggesting existing translations when the same or similar text appears in new content — combined with project-specific glossaries that enforce consistent terminology translation across all translators working on the same product, preventing inconsistent terminology in the final localised output. ### What file formats does Crowdin support for localisation? Crowdin supports over 50 file formats including JSON, YAML, PO/POT, XLIFF, Android XML, iOS strings, Java properties, CSV, HTML, Markdown, Microsoft Office documents, and custom formats configured through regular expression-based content segmentation — covering virtually all file types used in software, mobile app, documentation, and marketing content localisation workflows. ### How does Crowdin's in-context editor work for website localisation? Crowdin's in-context localisation feature embeds a JavaScript snippet in the website that overlays a translation interface directly on the live website, allowing translators to see and edit strings in their actual visual context rather than in an isolated list — improving translation quality by eliminating the guesswork about where and how a string appears in the user interface. ### What is Crowdin and how does it work with development workflows? Crowdin is a continuous localization platform that integrates directly with GitHub, GitLab, Bitbucket, and other development tools to keep translations synchronized with fast-moving software codebases. When developers push new code with untranslated strings, Crowdin automatically detects the changes and routes them to translators, eliminating the manual coordination overhead of managing translation files. ### How is Crowdin priced? Crowdin offers a free plan for open-source projects. Paid plans start around $50/month for the Basic plan and scale to Pro and Enterprise tiers based on project count, collaborators, and features. An enterprise plan with custom SLAs, dedicated support, and advanced compliance features is available for larger organizations. ### Who are Crowdin's primary customers? Crowdin serves software development teams at startups and enterprises that release products in multiple languages. Common users include SaaS companies, mobile app developers, e-commerce platforms, and game developers who need to keep translations current as their products iterate rapidly. ### What translation management features does Crowdin offer? Crowdin provides translation memory (reusing previously translated phrases), machine translation integration (DeepL, Google Translate, Microsoft Translator), glossary management, in-context translation (translating strings while viewing the actual UI), quality assurance checks, and screenshot context for translators. These features improve translation quality and reduce cost. ### How does Crowdin's in-context translation work? Crowdin's in-context translation feature lets translators see and translate strings directly within the actual running application interface, rather than translating generic text strings out of context. This dramatically improves translation quality by showing exactly where each string appears and how much space is available for the translated text. ### What file formats does Crowdin support? Crowdin supports 50+ file formats including JSON, YAML, PO/POT, XLIFF, Android XML, iOS Strings, CSV, Excel, HTML, Markdown, Java Properties, and many more. This broad format support makes it usable for virtually any software localization project regardless of the technology stack. ### How does Crowdin compare to Lokalise or Transifex? Crowdin, Lokalise, and Transifex are the three leading continuous localization platforms. Crowdin is particularly strong on its open-source community, breadth of integrations, and pricing. Lokalise is known for its developer experience and API quality. Transifex has a larger legacy installed base. All three offer similar core capabilities with pricing and ecosystem as key differentiators. ## Tags saas, b2b, platform, developer-tools, automation, open-source, global, europe, productivity, collaboration --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*