Quetzal
Last Updated on: Sep 12, 2025
Quetzal
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What is Quetzal?
Quetzal is an AI-first internationalization platform designed to simplify and accelerate the localization of software products. Built with developers in mind, it enables you to instantly translate your entire application into multiple languages—without the usual setup hassle. By scanning your codebase for user-facing text, Quetzal applies context-aware, high-quality translations in minutes. As new strings are added, it automatically detects and translates them on each build, offering seamless, continuous localization. With a developer-friendly dashboard, integrations like a VS Code extension and npm package, and support for over 20 languages, Quetzal brings global-ready software within reach in record time.
Who can use Quetzal & how?

Who Can Use It?

  • Developers & Engineering Teams working in React, Next.js, or similar stacks
  • Startup Founders & Product Managers aiming to launch quickly in global markets
  • Localization Engineers or Multi-Language UX Teams optimizing workflows and string management
  • Small to Medium Businesses seeking affordable, scalable localization solutions
  • Enterprise Tech Teams needing continuous, automated internationalization at scale

How to Use Quetzal?

  • Sign Up & Install: Set up your project with Quetzal and add the VS Code extension or npm package.
  • Scan the Codebase: Quetzal identifies all user-facing text in your app.
  • Generate Translations: AI-powered, high-fidelity translations are applied instantly—context included.
  • Manage Via Dashboard: View, review, and adjust all strings from a centralized, user-friendly panel.
  • Automate Builds: New text gets auto-detected and translated with every build or deployment cycle.
  • Scale Language Coverage: Expand into new locales quickly using tiered plans—from free to enterprise-grade.
What's so unique or special about Quetzal?
  • Developer-First Workflow: Integrates smoothly via VS Code and npm workflows—no separate localization tools needed.
  • True LLM-Powered Internationalization: Translations understand context, UI structure, and API workflows for higher fidelity.
  • Fully Automated String Lifecycle: Detects new text additions and applies translations with no manual overhead.
  • Central Dashboard for Translation Oversight: Easily manage, tweak, and review all localized strings.
  • Cost-Effective Global Expansion: Offers a free tier for individuals and scalable options for larger teams—localization done efficiently.
Things We Like
  • Seamless setup and tight integration with existing developer tools
  • Context-aware, high-quality AI translation—avoids awkward or misplaced phrasing
  • Automatically detects and translates new content on each build
  • Intuitive dashboard centralizes translation management
  • Free tier to get started; scalable pricing makes it viable for growing teams
Things We Don't Like
  • More suited for text/string translation—not for UI layout or region-specific visual adjustments
  • Needs developers to use React/Next.js or similar environments for best results
  • Manual review may still be necessary for nuanced language or culturally specific tone
  • Less useful for non-technical users or content teams without engineering support
Photos & Videos
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Pricing
Freemium

Starter

$0/month

1 project
Build-time translation
VSCode extension for easy integration
Team size: 1 user
Translated locales: 1
Number of tokens: Unlimited
Support: Email

Business

$50/month

1 project
Build-time translation
VSCode extension for easy integration
Team size: 10 users
Translated locales: $50/locale
Number of tokens:
Unlimited
Support: M-F 9am-5pm PT Slack & Email

Enterprise

Custom

(Pricing not available on the website)
Unlimited projects
Build-time translation
VSCode extension for easy integration
Team size: 11+ users
Translated languages: Unlimited
Number of tokens:
Unlimited
Support: 24/7 Slack, Phone & Email
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Popular Mention

FAQs

No—just install the npm package or VS Code extension and point it at your codebase.
Translations are applied instantly—often within minutes of setup or new code deployment.
Yes—supports over 20 languages and adds them dynamically across builds.
No—original string context remains intact, and updates are tracked through the dashboard.

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