Lingo.dev
by Lingo.dev · Stateful localisation engines called from code, CLI, CI/CD or MCP
BenchRank score
Screenshots of Lingo.dev
Homepage
Overview
Lingo.dev is a localisation platform built around 'localization engines' — stateful configurations holding a glossary, brand voice, per-locale instructions and a ranked model chain with fallback. Teams call an engine over HTTP, the CLI, a GitHub Action or MCP. Each async job runs source refinement, glossary retrieval by similarity search, LLM translation, optional human post-editing and AI scoring.
- Best for
- Engineering teams localising product strings from code, CLI or CI/CD with consistent terminology
- Pricing
- Sandbox has no base fee and Production is $99/month, both adding $0.50 per engine per month, $2/MTok for Lingo.dev infrastructure, $0.01 per AI review run and LLM costs at pass-through; Enterprise is quoted on request.
- Runs on
- WebCLI
Strengths and trade-offs
Strengths
- LLM costs passed through at zero markup
- Glossary and brand voice persist per engine across releases
- Callable from HTTP API, CLI, GitHub Action or MCP
- SOC 2 Type II audited, with a 99.9% uptime SLA
Trade-offs
- LLM token costs are billed on top of the platform fees
- AI review runs at $0.01 each can outweigh translation cost
- Sandbox capped at 100K tokens/day and 7-day data retention
- SSO, RBAC, audit logs and BYOK are listed only for Enterprise
How Lingo.dev markets itself
A structured read of the promise, proof and page design on Lingo.dev’s captured homepage.
Homepage capture
“The localization engineering platform.”
- Angle: Category creation
- Hero: Abstract graphic
Pricing
Published plans and prices from Lingo.dev’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Lingo.dev pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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