Introduction
What is LokAI?
Section titled “What is LokAI?”LokAI is an AI-powered localization management platform for software teams. It manages translation keys, glossaries, style guides, and tenant customizations, with LLM-assisted translation workflows at its core.
Unlike traditional localization tools where humans do the translation work and machines assist, LokAI inverts the model: LLMs handle the translation volume while your team focuses on quality, context, and brand voice.
Who is it for?
Section titled “Who is it for?”| Persona | How LokAI helps |
|---|---|
| Developers | Add keys via CLI or API, get instant AI translations, integrate with CI/CD |
| Product Owners | Enforce brand voice with glossaries and style guides, track coverage |
| Localization Managers | Review only what needs attention — AI handles the rest |
| Reviewers | Rich context on every translation, feedback loop that improves the AI |
| Key Maintainers | Single view of all keys you own, batched context requests |
Key concepts
Section titled “Key concepts”- Workspace — top-level container for a company or team
- Project — a product being localized, with main, target, and secondary languages
- Translation Key — a translatable string with context, flags, and per-language translations
- Glossary — workspace-level terminology (preferred terms, forbidden terms, regional overrides)
- Style Guide — Markdown document instructing the LLM on tone, formality, and conventions
- Tenant — a B2B customer with their own terminology customizations, resolved by the LLM at translation time
How it works
Section titled “How it works”- Push keys — developers push translation keys via the CLI or API, with source text and context
- AI translates — the LLM translates into all target languages, applying the glossary and style guide
- Review — confidence scores highlight which translations need human review
- Approve & export — approved translations are pulled back into the codebase via CLI or CI/CD
Next steps
Section titled “Next steps”- Quickstart — get your first translation in 5 minutes
- Installation — install the CLI and configure your project
- Core concepts — deeper dive into the data model