Development · MODEL CONTEXT PROTOCOL

Lingo.dev

⚡️ Open-source AI-powered CLI for web & mobile localization. Bring your own LLM or use Lingo.dev localization engine. Join discord: https://lingo.dev/go/discord

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What Lingo.dev gives an AI Agent

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lingo-dev

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README

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Lingo.dev – localization engineering platform

Lingo.dev is the localization engineering platform: the best way to measure translation quality, translate with LLMs, and proofread with native speakers.

Docs • Platform • Discord

Product Hunt #1 DevTool of the Month License Last commit


Teams build localization engines on Lingo.dev

A localization engine is a stateful translation API your team configures and Lingo.dev runs. Build one per product, per content type, or per brand. Every request through an engine applies everything you configured in it, in a fixed order of precedence:

Layer What you configure From the docs
LLM models Which model handles each language pair, with ranked fallbacks 400+ models; the response names the model that ran
Brand voice How your product speaks in each language, one text per locale Tone and formality per market
Rules The linguistic conventions a generic model misses Adjective position in Spanish, a space before percentage signs
Glossary Exact term mappings per locale, matched by meaning "911" becomes "112" for European markets; product names pass through
AI reviewers Scoring that runs after every translation GEMBA scores, BERTScore, glossary compliance

Glossaries, rulesets, and brand voices belong to your organization, and an engine applies them by attachment. One glossary governs five engines, and one edit reaches all five. Test a change in the Playground before it goes live: compare an engine against a raw model, or two engines side by side. The engines are configured on the platform, where the localization team runs the localization infrastructure.

Reach your engines from code

Translate the content in a repository. lingo push sends the files to the engine named in .lingo/config.json, and lingo pull writes the translations back from any machine:

npm install -g @lingo.dev/cli
lingo init && lingo link
lingo push

Or call an engine directly, naming it by ID:

const res = await fetch("https://api.lingo.dev/process/localize", {
  method: "POST",
  headers: { "X-API-Key": process.env.LINGO_API_KEY, "Content-Type": "application/json" },
  body: JSON.stringify({
    engineId: "eng_abc123",
    sourceLocale: "en",
    targetLocale: "de",
    data: { greeting: "Hello, world!", cta: "Get started" },
  }),
});

const { data, model, usage } = await res.json();
// data:  { greeting: "Hallo, Welt!", cta: "Jetzt starten" }
// model: "anthropic/claude-sonnet-4.5"
// usage: { inputTokens: 2789, outputTokens: 861, cost: 0.023012 }
Lingo.dev MCP Your coding agent creates an engine, adds glossary terms, tunes rules, and compares two engines, from the conversation where the problem surfaced
Lingo.dev CLI Push source files, pull translations, from a terminal or from CI. Eighteen formats: JSON, YAML, Markdown, MDX, PO, XLIFF, Flutter ARB, Android and Xcode strings, SubRip, PHP
Lingo.dev in CI/CD Install the CLI and run lingo push as a step in GitHub Actions, GitLab CI/CD, Bitbucket Pipelines, or any runner with Node.js 22+
Lingo.dev GitHub App Install once and every push to the default branch opens or updates a translation pull request, or translations land as a commit in the pull request that changed the source. No runner, no API key secret, no lockfile to manage
Lingo.dev API One synchronous call per language pair, or an async job that fans one request out to many locales and delivers results as they land

Build your first localization engine →

View README on GitHub

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