Lokalise AI
AI inside Lokalise automates translation quality checks routing and post-editing so teams localize faster with workflows, connectors and governance spanning apps, websites and product copy.
Overview
Lokalise AI sits on top of Lokalise’s localization platform to automate repetitive steps and speed up shipping localized content. It orchestrates MT selection, suggests edits, flags quality issues, and loops human reviewers only where needed. Teams plug in repositories and design tools, manage glossaries and style guides, and push over-the-air updates to apps.
Admins get roles, audit histories, and privacy controls. The AI layer claims order-of-magnitude speed gains by deciding when translations are publish-ready and when human review is required, while keeping work in one place with comments and tasks. Typical wins include faster product releases across locales, lower vendor costs, and fewer handoffs between PMs, engineers, and linguists.
Lokalise offers a free entry tier for the core platform, with paid tiers adding capacity, SSO, and advanced workflow features; AI is integrated as part of these workflows so teams can adopt it without changing their stack.
Key features
- AI orchestration that routes what can ship vs what needs review
- Quality checks and suggestions that reduce edits for linguists
- Glossaries style guides and term bases applied automatically
- Connectors for GitHub GitLab Figma and design handoff
- OTA SDKs to update apps without app-store releases
- Comments tasks and roles for cross-team collaboration
- File formats and APIs for CI/CD localization
- Reports that track cycle time cost and review load
Best for
- Continuous product localization where strings flow from repo to reviewers to OTA updates
- Marketing and docs teams that publish many languages monthly
- Design handoff where Figma copy becomes localized variants fast
- Mobile app releases that need hotfix text updates without rebuilds
- Support content localization with term consistency across channels
- Regulated industries that need audit trails on language assets
- Vendor and in-house translator collaboration in one workspace
- Startup launches needing fast multilingual sites and apps
Capabilities
AI Workflows
Decide when MT is good enough and when to escalate for human review then route tasks with comments and due dates.
Glossaries & QA
Enforce terminology and run checks for placeholders lengths and styles to reduce regressions before release.
Repos & Design
Sync strings from Git and Figma and push localized assets back through APIs and CI/CD.
OTA & SDKs
Update strings over the air in apps and feature flags to decouple copy changes from releases.
Frequently Asked Questions
How does pricing start for Lokalise?
Lokalise lists a free plan for the core platform with paid tiers for higher capacity and enterprise features, check the pricing page for details.
Does AI replace human translators?
No, AI reduces manual steps and flags issues while routing only the complex cases to human reviewers for quality.
What integrations are supported today?
Popular connectors include GitHub GitLab Figma and APIs for CI/CD and CMS flows.
Can we enforce terminology across teams?
Yes, glossaries and style guides apply during MT and review to keep language consistent.
How do we update apps without releases?
Use Lokalise OTA SDKs to push string updates so copy fixes ship without new binaries.
Is there auditability for compliance?
Roles logs and approvals provide history for regulated teams and vendor oversight.
Can designers localize copy from Figma?
Yes, design plugins sync frames and text to create locale variants faster.
Does Lokalise support many file formats?
Yes, common iOS Android web and backend formats are supported for import/export.
