Crowdin vs Phrase

Crowdin is a localization management platform founded in Ukraine in 2009 and now headquartered in Estonia. It is used by software companies, game studios and a long list of well-known open-source projects to translate apps, websites, documentation and help centers, and it offers both a standard cloud product and Crowdin Enterprise for larger organizations.

The platform supports more than a hundred file formats and syncs source strings automatically from GitHub, GitLab, Bitbucket and CI pipelines, from design tools like Figma, and from CMSs and help desks through a marketplace of over 600 apps. Translators work in an editor with translation memory, glossaries, screenshots, in-context preview, QA checks and machine translation from engines such as DeepL and Google, plus AI translation with your own prompts. Crowdsourcing features let volunteers suggest and vote on translations. Pricing combines hosted words and seats, and Crowdin is free for qualifying open-source projects.

Crowdin suits teams with many file types, many integrations or a community that wants to help translate. Its interface can feel dense, and hosted word limits need watching as content grows. Lokalise is the main commercial rival with a cleaner UI for product teams, Phrase is strong in enterprise and agency workflows, and open-source alternatives such as Weblate and Tolgee can be self-hosted. For website-only translation without code, Weglot is simpler.

Phrase is an enterprise localization platform formed when Memsource, a Czech translation management company, acquired the German software localization tool Phrase in 2021 and adopted its name. The Phrase Localization Platform covers both sides of localization: software strings for apps and websites, and documents, marketing content and other files that pass through translators and language service providers.

Phrase Strings manages keys for web and mobile apps with Git, CLI and API integrations, in-context editing and over-the-air updates for mobile. Phrase TMS handles document workflows with translation memory, termbases, machine translation, quality checks and vendor management. Phrase Language AI routes content to the most suitable machine translation engine and uses AI for quality estimation, and Orchestrator automates multi-step workflows. Integrations connect CMSs, code repositories, design tools and support platforms. Pricing is set per product and edition, with self-serve tiers for smaller teams and custom enterprise agreements.

Phrase fits companies localizing several products into many languages with a mix of internal reviewers, freelancers and agencies, where governance and automation matter. It is expensive and complex for a startup translating one app into a handful of languages. Lokalise and Crowdin are friendlier for product teams focused on software strings, Tolgee and Localazy are budget options with developer-friendly workflows, and Smartling and XTM compete at the enterprise end.