Lokalise

Translation management platform for software teams shipping many languages

AI Translation ToolsOverseasβ˜…β˜…β˜…β˜…β˜† 4.0

What is Lokalise?

Lokalise is a translation and localisation management platform aimed at software teams. It organises translation keys, connects them to a repository through integrations and a CLI, and gives translators a workspace with context such as screenshots and comments so strings are not translated blind. Translation memory, glossaries and quality checks keep large language sets consistent, while machine translation or AI suggestions produce a first pass before human review. Over-the-air updates let mobile apps receive new translations without a store release. It is a commercial product with seat-based pricing and no permanent free tier.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Key-based translation management with repository and CLI synchronisation
  • Screenshots and comments that give translators visual context
  • Translation memory, glossaries and automated quality checks
  • Machine translation and AI suggestions ahead of human review
  • Over-the-air updates so mobile apps avoid a store release
  • Integrations with GitHub, GitLab, Jira, Figma and content platforms

Pros & cons

Strengths

  • Keeps code and translations in step through automation
  • Context features cut the guesswork that produces bad strings
  • Strong coverage of mobile release workflows and over-the-air updates

Watch out for

  • No permanent free tier, only trial access
  • Costs grow with seats, project count and translated word volume
  • Initial setup is real work for teams with messy string conventions

Best for & use cases

software localisation, mobile app translation, continuous delivery and large language sets

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FAQ

How is it different from a translation agency?

It is the system of record rather than the translator. Agencies can work inside it as one of several translation sources, but the platform owns the keys, memory, quality checks and the path back into your repository.

Do we still need human translators?

For customer-facing text, yes. Machine and AI suggestions handle volume and give reviewers a starting point, while terminology, tone and marketing copy still benefit from a human pass, especially in regulated markets.

Why is pricing hard to predict?

It combines seats, project count, number of keys and translated words, and that mix shifts as languages are added. Map your language roadmap before committing to a tier.