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Launched 2021 · Verified Oct 15, 2026

Tolgee AI Translator

Verified Oct 15, 2026 Active
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Open-source localization platform with AI translation that pulls context automatically from your app's UI.

localizationai translationi18nopen sourceFreemium · from $79/mo

Listed on EffectHub ·

Web · API
Screenshot of the Tolgee AI Translator website
#2537
tolgee.io as we captured it — our own screenshot, not the vendor’s press image.

Pricing

Pricing model
Freemium
Paid options from
$79/mo
Billing
Monthly

Free cloud plan covers 30,000 hosted words and 3 seats; paid plans are priced by hosted words with unlimited seats. With the USD toggle, Translate starts at $79/month billed monthly or $790/year for 50,000 words and 400,000 MT credits; Optimise and Manage start at $179 and $499/month.

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Overview

About Tolgee AI Translator

Tolgee is a localization platform for software teams that combines a translation management system with an AI translator. Its autonomous translation feature reads context automatically extracted from the running application, so translations account for surrounding UI rather than being generated from an isolated string, and results can still route to human reviewers before publishing. It supports multiple LLM providers including OpenAI, Anthropic, and Google Gemini, or a self-hosted model, integrates via a JavaScript SDK, Docker, npm, and GitHub, and ships an MCP server for use from Claude Code, Cursor, or Codex. Tolgee is open source and built by a company based in Brno, Czech Republic, founded in 2021 by Jan Cizmar.

Platforms
Web · API
API
Yes
Last verified
Oct 15, 2026

Verified sources

  • Pricing page (USD toggle): Free 30,000 words and 3 seats; Translate $79/month or $790/year for 50,000 words, Optimise from $179/month, Manage from $499/month, all with unlimited seats (15 October 2026)tolgee.io ↗
  • Pricing FAQ: hosted words count the base text and every translation separately; keys are no longer a pricing metric (15 October 2026)tolgee.io ↗
  • Autonomous translation page: AI translation with context extracted from the app, human review, choice of LLM provider and an MCP server (15 October 2026)tolgee.io ↗
Fact check

Is Tolgee AI Translator legit?

We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.

TLS certificate
Issued by Google Trust Services, valid until Dec 8, 2026Seen in our own connection to the site on Oct 15, 2026
Last checked
Oct 15, 2026The site answered
On the market since
2021The vendor's own material, read by us
Operated by
Tolgee, CzechiaOur research, card verified Oct 15, 2026

How we collect these records

Editorial verdict

Pros & cons of Tolgee AI Translator

high confidence

Tolgee's pitch is translation quality that improves because the AI actually sees the surrounding app context instead of translating strings in isolation, with a human-review step still in the loop. It's aimed at engineering teams shipping a localized product, not casual one-off document translation.

Pros

  • Automatic context extraction from the live app improves translation accuracy over isolated strings
  • Works with multiple LLM providers or a self-hosted model, not locked to one vendor
  • Free cloud tier (30,000 hosted words, 3 seats) includes machine and AI translation
  • Paid plans have unlimited seats, so adding reviewers costs nothing
  • Open source with a self-hosted deployment option

Cons

  • Plans scale with hosted words, and every language version of a string counts, so the bill grows with each locale you add
  • Requires SDK integration into the codebase rather than working on arbitrary text
  • Self-hosting requires infrastructure the free cloud tier doesn't need

Best for

  • Dev teams localizing an app who want AI translation plus human review in one workflow
  • Teams that want to self-host or choose their own LLM provider
  • Projects already using Claude Code, Cursor, or Codex that want translation reachable via MCP

Not for

  • One-off translation of a single document or email
  • Non-technical users without a codebase to integrate the SDK into
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