Products/Developer Tools / Localization / AI/Lingo.dev v1

Lingo.dev v1

The localization engineering platform

Developer Tools / Localization / AISan Francisco, USASeedlocalizationtranslationdeveloper-toolsReviewed

Our Take

Lingo.dev is a localization engineering platform built to solve the translation consistency problem that kills otherwise great products. When your app launches in 40 languages and every translator does their own thing, you get "Save" as "Resguardar" in one place and "Emmagatzemar" in another—same product, completely different terminology. Lingo.dev fixes this by treating translations like code: version-controlled, reviewable, and held to the same standards as your engineering team. It keeps your strings consistent across every language so users in Tokyo and Berlin get the same experience, not slightly different versions of confused.

This is the tool that should have existed five years ago when everyone realized "global" meant "not just English." If you're shipping software internationally and your translation process still involves emailing spreadsheets, you're already behind.

Product Hunt →

A platform where teams configure localization engines that persist glossaries, brand voice, and per-locale model chains – then call them from backend code, CLI, CI/CD, or MCP. Terminology stays consistent across every locale, every release.

Key Features

Localization Engines (stateful translation APIs), Glossary management (per locale pair, matched by semantic similarity), Brand voice (tone and formality per locale), Instructions (locale-specific rules for formats, conventions), Model chain (ranked providers with automatic fallback), AI Reviewers (independent scorers per quality dimension), Retrieval Augmented Localization (RAL), Source Refinement (LLM pre-processing), Context Enrichment (cosine similarity over vector embeddings), LLM Translation with enriched context, Human Post-Editing (optional, managed behind API), LLM Post-Review (second independent model evaluation), Webhook delivery with HMAC signature verification, WebSocket streaming for real-time UIs, CI/CD integration, Language Detection, Lingo.dev Platform MCP, Lingo React MCP, Lingo CLI, Lingo GitHub Action

Problem It Solves

Traditional localization separates translation from the product – vendors translate without domain knowledge, terminology drifts release over release, quality lives in reviewer opinions no one can audit, and coordination overhead slows engineering velocity.

Target Customer

Engineering teams building products that need localization across multiple languages

Use Cases

Automated localization across 36+ languages, CI/CD pipeline integration, Terminology consistency enforcement, Re-localizing only changed content with context retrieval, Regulated content review, High-visibility launch localization

Pricing Details

Get started free option available

Differentiator

Retrieval Augmented Localization (RAL) – re-localizes only what changed while retrieving matching context per request, reducing terminology errors by 59% on hardest cases

Why Now

AI translation models have reached quality levels where context-aware, automated localization is feasible; teams need to move localization inside the product as infrastructure rather than managing vendor relationships

Traction

Customers Mentioned: Cal.com, Papermark, Supabase · Notable Metrics: 285,524 words processed; 2,422 shipped localizations; 36 languages automated; 59% terminology error reduction with RAL; 648 errors reduced to 266 with RAL on hardest case; 42,000+ paired quality judgments