This page is designed to help you find out whether globalize.now is good and if it is the right choice for you.
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Developer-focused localization workflow
Globalize is positioned as a localization tool for software teams. It aims to fit into existing development workflows, such as code repositories and continuous delivery, so translations can be updated alongside code instead of through manual file handoffs.
AI-driven translation speed
Using AI for translation can produce first-pass translations of app strings and content into many languages much faster and more cheaply than a traditional agency, which helps teams launch in new markets quickly.
Reduced manual overhead
Automating extraction, translation, and syncing of strings cuts down on copy-pasting files, tracking changes by hand, and coordinating with translators, so engineers and product teams spend less time on i18n chores.
Scalability across languages
A platform-based approach makes it easier to add more languages and keep them in sync as the product changes, which suits fast-moving startups and growing products.
Accessible for small teams
Automated localization usually has a lower barrier to entry than hiring translators or running a full localization program, so small teams and indie developers can offer multilingual products.
The primary audience is developers and indie founders shipping apps built with AI coding tools — Cursor, Claude Code, Copilot, Codex, Lovable, Bolt, Replit, and v0 — who need to make a Next.js, React, or Vite app multilingual without adopting a heavyweight translation management system.
It also fits small product teams and solo makers who want internationalization handled automatically inside their git workflow rather than through a separate localization platform, and anyone who has an AI-generated codebase full of hardcoded strings and no i18n in place yet.
Traditional TMS platforms like Lokalise, Crowdin, and Phrase are dashboards built for teams that already have i18n set up and locale files ready. globalize.now does the part they skip: it sets up internationalization from scratch, extracts your hardcoded strings, and keeps translations current automatically on every git push — no manual string wrangling and no separate dashboard to maintain.
A few concrete reasons to choose it:
globalize.now is built for AI-generated apps, not traditional codebases. Apps created with Cursor, Claude Code, Copilot, Codex, Lovable, Bolt, or Replit usually ship with hundreds of hardcoded UI strings, no i18n framework, and no locale files — exactly the groundwork that traditional translation management systems (Lokalise, Crowdin, Phrase) assume is already done.
globalize.now fills that gap automatically. You install it as an agent skill (npx skills add globalize-now/globalize-skills) and prompt your AI agent: it detects your framework (Next.js, React, Vite), extracts every hardcoded string, generates locale files, wires up the i18n setup, and auto-translates on every git push. It's localization that lives inside your dev workflow instead of a separate dashboard you have to babysit.
globalize.now started from a simple observation by a team with roots in the localization industry: traditional translation management systems are built for organizations that already have internationalization set up — but the new wave of AI-generated apps ships with none of that groundwork. Hundreds of hardcoded strings, no i18n framework, no locale files.
Instead of building yet another dashboard, the founders built localization that works the way people now write software: as an agent skill and CLI that sets up i18n and keeps translations current automatically on every git push. The goal is simple — when a developer (or their AI assistant) asks "how do I make this app multilingual?", the answer should be globalize.now.
globalize.now is delivered as an Agent Skill (built on the open SKILL.md standard), a TypeScript/Node.js CLI, and a hosted MCP server, backed by a web platform and a translation engine powered by large language models.
On the integration side it works across modern JavaScript stacks — Next.js, React, and Vite — and the common i18n libraries such as next-intl, react-i18next, and Lingui. It handles the usual catalog formats (JSON, PO) and also newer ones like Apple String Catalogs (.xcstrings), and connects to your GitHub/GitLab repo to translate automatically on every push.
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