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Lokalise

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AI-powered localization management platform for translating software, apps, and websites - used by software teams to ship in 100+ languages at scale.

Lokalise is an AI-powered translation and localization management platform that helps software teams translate and maintain their apps, websites, mobile products, and marketing content across multiple languages. The platform centralizes all translatable strings in one workspace, applies AI machine translation with configurable quality filters, manages glossaries and translation memories to enforce brand consistency, and integrates directly with GitHub, GitLab, Figma, and common CI/CD pipelines so localized builds happen automatically. Lokalise serves both professional translation agencies handling workflow at scale and development teams doing in-house localization for global product launches. Founded in 2017 in Latvia, Lokalise serves thousands of teams including Notion, Revolut, and GitHub. Pricing starts around $120 per month for the growth plan.

#localization
#translation
#i18n
#developer-tools
#automation
$120/mo

Pricing starts at

Update Tool
lokalise.com
$120/mo
Pricing Model
Automation
Category
2017
Since
Free Trial
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Key Features

  • AI machine translation with DeepL, Google Translate, and Azure Cognitive integration selectable per language pair
  • Translation memory that reuses previously approved translations automatically to reduce cost and maintain consistency
  • Glossary management for enforcing brand terms, product names, and prohibited words across all translation outputs
  • GitHub and GitLab integration for automatic string syncing and localized build triggers on push events
  • Figma plugin that exports design strings directly into Lokalise without developer involvement in the extraction step
  • In-context editor showing translators the actual UI layout alongside the string they are translating for accuracy

Use Cases

  • SaaS product teams shipping in multiple markets who need localization integrated into their CI/CD pipeline without manual file handling
  • Mobile app developers managing iOS and Android string files across 10+ languages with review and approval workflows
  • Marketing teams localizing website copy, landing pages, and email campaigns with glossary-controlled brand voice consistency
  • Translation agencies managing multi-project, multi-language workflows for software clients with different quality standards

Pros

  • CI/CD pipeline integration makes localization a continuous process rather than a manual pre-release sprint that blocks shipping
  • Translation memory and glossary combination dramatically reduces per-word translation cost at scale by reusing approved work
  • In-context translation editor reduces localization errors by showing translators the actual UI rather than isolated string files

Cons

  • Starting price of $120/month is out of reach for early-stage startups who would benefit from localization but cannot justify the cost
  • Onboarding requires engineering involvement for CI/CD integration setup - not self-serve for non-technical localization managers
  • AI machine translation quality varies widely by language pair - low-resource languages require more human post-editing than the platform implies

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