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Redokun vs Crowdin

RedokunCrowdin

Bottom line: Redokun for manufacturers localizing documents; Crowdin for product and engineering teams doing continuous localization.

	Redokun Document translation platform blending AI drafts with human review Visit	Crowdin Cloud localization management for software, apps, and content Visit
Votes	0	0
Pricing	Paid	Freemium
Category	Translation	Translation
Tags	translationlocalizationdocument translationtranslation memorycollaboration	localizationtranslation-managementsoftware-localizationdeveloper-toolscollaboration
Best for	Manufacturers localizing documents Marketing and comms teams In-house localization teams	Product and engineering teams doing continuous localization Open-source projects needing free collaborative translation Documentation and content teams managing many languages
Pros	AI drafts speed up translation Human review keeps quality and tone Preserves original file formatting Glossary and translation memory built in Supports multiple AI engines	Generous free tier, especially valuable for open-source projects Deep integrations with GitHub, GitLab, Figma, and CI/CD Strong automation for continuous localization workflows Translation memory and glossaries reduce repeat work and cost Supports both machine translation and human review
Cons	No free plan Document-centric, not for software strings No public API on standard plans Pricing scales with usage and users Best for teams with defined workflows	Costs rise with seats and hosted word volume Implementation and training can add significant overhead for large rollouts Advanced integrations and MT engines are limited on the free tier Interface has a learning curve for non-technical translators Enterprise features require moving to a separate, custom-priced product

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