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Lingo.dev

Open-source AI localization engine that automates app translation through your CLI and CI/CD pipeline

★★★★½4.5(34 reviews)
Usage Based

Category

AI Translation

Pricing

Usage Based

Rating

4.5

Reviews

34

Published Jul 17, 2026Updated Jul 17, 2026

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About Lingo.dev

Lingo.dev is for developers who think localization should work like linting or type-checking: something the pipeline handles on every commit, not a quarterly project with spreadsheets. The product's bet is that AI translation is now good enough that the hard problem is workflow — getting translations generated, reviewed, and shipped without a human coordinating file handoffs — and it attacks that problem with developer tooling rather than a management dashboard.

The pieces fit a familiar developer shape. The open-source CLI translates localization files in place. The compiler is the standout idea: it makes React apps multilingual at build time, meaning you skip much of the traditional i18n refactor entirely. A GitHub Action keeps translations current on every push, and the API handles dynamic content with async jobs and language detection. Pricing follows infrastructure conventions too — usage-based, LLM costs at zero markup, free tier that small projects never outgrow.

The tradeoff is maturity and audience. There is no translator-friendly UI for non-technical teams, human review is an Enterprise feature, and the company is young compared to incumbents like Crowdin that have spent a decade accumulating integrations. Lingo.dev tends to win with engineering-led teams that want localization fully automated and are comfortable betting on newer tooling — especially React shops that can exploit the compiler.

Key Features

Open-source CLI that localizes translation files with one command
Compiler that makes React apps multilingual at build time without refactoring
GitHub Actions integration for automatic translations on every commit
Localization API with async jobs and language detection
Pluggable translation engines at $0.50/engine/month
LLM costs passed through at zero markup
AI quality reviews at $0.01 per run
Multi-tenant support for SaaS platforms
Human review workflows on Enterprise

Lingo.dev prices like infrastructure, not like a translation agency. The Sandbox tier is free to start: you pay $2 per million tokens of infrastructure usage with a 100K-token daily throughput cap and 7-day data retention — enough to evaluate or run a small project. Production is $99/month plus the same $2/MTok usage rate, raising throughput to 5M tokens daily with 30-day retention and multi-tenant support. Enterprise is custom, adding human review workflows, compliance, and dedicated support. Two pricing details stand out: underlying LLM costs are passed through at zero markup (you pay what the model costs), and translation engines cost a flat $0.50 per engine per month, with optional AI quality reviews at $0.01 per run. The practical read: hobby and open-source projects can run essentially free on Sandbox, while the $99 Production base only makes sense once localization is genuinely part of your deploy pipeline. The open-source CLI and compiler also mean you can adopt the tooling before paying for the platform.

Sandbox

Free
  • Pay-as-you-go: $2 per million tokens
  • 100K tokens daily throughput
  • 7-day data retention
  • Open-source CLI and compiler
  • LLM costs passed through at zero markup
  • Best for testing and evaluation

Production

$99/mo
  • $99/month base + $2 per million tokens
  • 5M tokens daily throughput
  • 30-day data retention
  • Multi-tenant application support
  • Async jobs and language detection
  • GitHub Actions integration

Enterprise

Custom
  • Everything in Production, plus:
  • Unlimited throughput
  • Custom data retention
  • Human review workflows
  • Compliance support
  • All integrations including Jira
  • Dedicated support

Use Cases

Making a React app multilingual at build time without rewriting componentsAuto-translating JSON, YAML, and markdown files in CI on every commitRunning localization as pay-as-you-go infrastructure instead of per-seat SaaSLocalizing multi-tenant SaaS products where each customer needs different languagesAdopting open-source i18n tooling before committing to a paid platformKeeping translations in sync automatically so releases never wait on localizationProgrammatic translation via API for user-generated or dynamic content

Limitations

  • Developer-only: no standalone translator UI for non-technical users translating documents or text
  • Young product — smaller community and fewer battle-tested integrations than incumbent TMS platforms
  • Token-based billing requires estimation, and daily throughput caps can throttle large one-time migrations on lower tiers
  • Compiler magic is React-centric; other frameworks go through the CLI and API instead
  • Human review workflows are gated to Enterprise

Frequently Asked Questions

How is Lingo.dev different from Crowdin or Lokalise?
Traditional TMS platforms center on a web dashboard where teams manage strings and coordinate translators. Lingo.dev inverts that: localization lives in your codebase and CI pipeline, translations happen automatically via AI, and the open-source CLI and compiler do the heavy lifting. It trades the collaboration tooling of a TMS for near-zero workflow overhead.
Is Lingo.dev really open source?
The CLI and compiler are open source and can be used with your own LLM API keys. The hosted platform — the translation engine, async API, dashboard, and CI integrations — is a paid service with usage-based pricing. That split lets you start with the free tooling and adopt the platform when automation matters.
What does Lingo.dev actually cost in practice?
Sandbox is free with $2 per million tokens of usage and a 100K-token daily cap — small projects can run indefinitely on it. Production adds a $99/month base for 5M tokens of daily throughput. Since LLM costs pass through at zero markup and engines cost $0.50/month each, costs track translation volume closely rather than team size.
Who uses Lingo.dev?
The platform is aimed at development teams shipping multilingual products without a localization department. Companies like Cal.com, Solana, and Mistral AI use it to keep translations happening automatically in their pipelines.

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