globalize.now vs lingo.dev
globalize.now and lingo.dev operate at different layers. lingo.dev is a localization engine: a stateful translation API with glossaries, brand voice, and quality scoring for strings you send it. globalize.now is localization infrastructure that discovers literals in code, generates keys, materializes locale files, and keeps translations in sync on every Git push before any engine translates them.
lingo.dev translates strings you already have. An AI-generated React app with English literals has nothing meaningful to send until those literals live in keys and locale files. globalize.now closes that gap by treating the repository as truth: it extracts, dedupes, writes catalogs, and syncs on push. After catalogs exist, lingo.dev—or DeepL, GPT, or human reviewers—can operate on consistent inputs.
Choose lingo.dev if…
lingo.dev is a localization engine — a stateful translation API with glossaries, brand voice, and quality scoring delivered via API calls.
Prefer lingo.dev when:
- Keys already exist and you want a high-quality translation API with glossary control.
- You need runtime or batch translation with scoring and brand-voice features.
- Engineers can send structured segments programmatically without fixing extraction first.
Choose globalize.now if…
globalize.now is AI-powered localization infrastructure that automatically extracts hardcoded UI strings from AI-generated codebases, generates translation keys and locale files, and keeps translations in sync on every Git push — no manual exports, no review queues, no i18n debt.
Prefer globalize.now when:
- Hardcoded UI strings still bypass any translation API.
- You need Git-native automation on every push instead of ad hoc file edits.
- You want agent-first setup that targets AI-generated repositories.
Feature comparison (high level — verify details on each vendor’s site).
| Capability | globalize.now | lingo.dev |
|---|---|---|
| Automatic extraction of user-visible strings from code | Yes | No |
| Translation key generation | Yes | No |
| Locale file creation in Git | Yes | No |
| Auto-sync on every Git push | Yes | No |
| Translation API for batch or runtime calls | Partial | Yes |
| Glossary and brand-voice controls on the API | Partial | Yes |
| Quality scoring for translated output | No | Yes |
| Human-in-the-loop review hooks on the engine side | Partial | Yes |
| Runtime translation without pre-built keys | No | Partial |
| CLI tooling for developer workflows | Yes | Partial |
| Library-agnostic locale outputs | Yes | Yes |
| Public starting price on marketing site | Partial | Partial |
- * Human-in-the-loop review hooks on the engine side: Note: Depends on product configuration—verify in lingo.dev docs.
- * Public starting price on marketing site: Note: Verify current pricing on lingo.dev.
When lingo.dev is the better fit
Choose lingo.dev when your pipeline already emits stable message IDs and you need API-first translation with glossary and quality scoring. It is a strong fit for teams that solved extraction separately and now want engine-grade automation.
When globalize.now is the better fit
Choose globalize.now when the codebase still entangles product copy inside components. Set it up once, auto-sync on every Git push, and stop losing strings between English JSX and downstream translation calls.
How globalize.now fits alongside lingo.dev
Run globalize.now to maintain locale files in Git, then call lingo.dev (or another engine) on those resources for high-quality machine translation with glossary enforcement. The engines become more valuable once inputs stop drifting.
Frequently asked questions
Is globalize.now a translation engine like lingo.dev?
No. lingo.dev focuses on translating strings via API with quality and glossary features. globalize.now focuses on producing and maintaining the structured files and keys those APIs expect. Set it up once, auto-sync on every Git push, and treat translation engines as downstream consumers of clean catalogs.
Can I use globalize.now with lingo.dev?
Yes. Maintain authoritative locale files in Git with globalize.now, then send batches or streams to lingo.dev for high-quality machine translation where it fits your policy. The combination keeps engineering truth in the repo while the engine handles linguistic scoring. Avoid skipping the extraction step—engines amplify bad inputs.
Why do I need globalize.now if lingo.dev translates?
Translation engines need stable message identifiers and source text separated from layout code. AI-generated apps often lack that separation. globalize.now automates extraction and keying so engines receive meaningful segments instead of JSX noise. Without that step, API calls waste credits and produce inconsistent UX.
Which produces better translations?
lingo.dev competes on model quality, glossaries, and scoring for given strings. globalize.now does not score translations; it improves the inputs translators and models see. Better translations come from better catalogs plus a strong engine—not from choosing one tool to do both jobs poorly.
Does lingo.dev extract hardcoded strings from my repo?
Localization engines generally expect you to supply strings or resource files. Extraction from arbitrary frameworks is an infrastructure concern. globalize.now targets that concern directly with Git-backed automation. Use lingo.dev after files exist, not as a substitute for repository analysis.
What is the difference between localization infrastructure and a localization engine?
Infrastructure keeps code and locale files synchronized as engineers ship features: extraction, keys, PRs, and push-time sync. Engines focus on turning source strings into target-language text with APIs and scoring. You need infrastructure when literals still live in components; you need engines when catalogs already exist and translation quality is the bottleneck.
Which should I set up first?
If hardcoded English still ships in PRs, set up globalize.now first so keys and locale files become non-negotiable artifacts. Once segments are trustworthy, evaluate lingo.dev or other engines for translation quality. Reversing the order usually yields churn: engines translate strings that are not yet stable in Git.
Try globalize.now
Install agent skills in your repo, then let automation keep locale files aligned on every Git push.
Run in your project root:
npx globalize-skills