Lingo.dev
Open-source AI localization engine that automates app translation through your CLI and CI/CD pipeline
AI Translation
Usage Based
4.5
34
Screenshots
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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
Pricing Plans
Estimate this tool in your stackLingo.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
- 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/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
- Everything in Production, plus:
- Unlimited throughput
- Custom data retention
- Human review workflows
- Compliance support
- All integrations including Jira
- Dedicated support
Use Cases
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
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