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Lingo.dev v1

Overview / Description

Lingo.dev is an AI localization tool that lets engineering teams build and run localization engines as infrastructure, callable from backend code, a CLI, CI/CD, or an MCP server. Rather than shipping strings to a one-off translation API, you stand up a stateful localization engine that persists a glossary, brand-voice and formality settings, and a ranked chain of translation models with automatic fallback per locale pair. Its Retrieval Augmented Localization (RAL) feeds that domain context into each request, and the vendor cites a 17-45% reduction in terminology errors as a result. Cross-model quality scoring evaluates output against MQM dimensions, and an optional human post-editing layer routes copy to managed translators for review. Lingo.dev fits teams that need consistent terminology across many languages in terminology-dense, regulated, or legal content, and integrates through a GitHub Action, a React MCP, GitHub/GitLab/Bitbucket, and (on higher tiers) Jira. If you want localization treated as versioned, governed engineering rather than a manual handoff, Lingo.dev is built around that workflow.

Used For

Building AI localization engines as infrastructure so engineering teams keep terminology consistent across languages via code, CLI, CI/CD, or MCP

Pricing

Sandbox

$0/month

$0 base + $0.50/engine/mo, $2/MTok infrastructure, 100K tok/day, 7-day retention, LLM cost pass-through with 0 markup

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Production

$99/month

$99/mo base + $0.50/engine/mo, $2/MTok infrastructure, 5M tok/day, 30-day retention, 99.99% uptime SLA, SSO/RBAC/audit logs/BYOK

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Enterprise

Free

Custom pricing - unlimited throughput, human review, compliance, Jira integrations, custom retention and annual contract

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Pros & Cons

Pros

  • Localization engines persist glossary, brand voice, and per-locale model chains as reusable infrastructure
  • Retrieval Augmented Localization (RAL) cited to cut terminology errors by 17-45%
  • Cross-model quality scoring against MQM dimensions plus optional managed human post-editing
  • Callable from backend code, CLI, CI/CD, a GitHub Action, and a React MCP
  • Governance controls on the Production tier: SSO, RBAC, audit logs, BYOK, and EU/US data residency

Cons

  • Production tier starts at $99/mo before per-engine and per-token infrastructure costs, so budgeting is usage-dependent
  • Positioned for engineering teams, so non-technical localization staff face a setup and integration learning curve
  • Sandbox tier caps throughput at 100K tokens/day and retains data only 7 days
  • Jira integration and human-review compliance features are gated to Enterprise

Questions & Answers

Alternatives

Lokalise, Crowdin, Phrase, Weglot

Lingo.dev v1 | AI Tools Directory