Does Tolgee AI Translator have an API?

Yes, Tolgee AI Translator offers an API.

What platforms does Tolgee AI Translator support?

Tolgee AI Translator is available on Web App and Browser extension.

What are the limitations of Tolgee AI Translator?

No pricing figures appear on the feature page, so cost comparisons require a separate trip to the pricing page. Quality depends on the connected LLM provider, meaning setup and model selection carry real configuration effort. Automatic context collection only works where the JS SDK is integrated, which leaves non-JS stacks with less context.

Tolgee AI Translator

Name: Tolgee AI Translator
Author: Tolgee AI Translator

AI translation for app localization, with context and human review

Intermediate API

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Screenshot of Tolgee AI Translator, AI translation for app localization, with context and human review

What is Tolgee AI Translator?

Tolgee AI Translator translates app strings with an LLM while feeding it project context pulled from the app itself. Teams test prompts in a playground, connect their own model providers, and hand results to human reviewers.

Tolgee AI Translator is the machine translation layer inside the Tolgee localization platform. It translates application strings into target languages using a large language model, then leaves the output in a reviewable state so human translators or developers can refine wording before it reaches users. The premise is straightforward: AI handles the bulk pass quickly and cheaply, people handle nuance. That combination is aimed at product teams shipping multi-language apps who want speed without giving up editorial control. The feature that separates it from generic machine translation is context. Tolgee pulls context directly out of the app through its JS SDK, so the translator sees related keys and surrounding usage rather than an isolated string. Teams can add a project description, per-language notes, and key descriptions to steer domain vocabulary and tone. In the AI Playground, prompts can be tested against real translation data before anything is committed. Users compare results across models, adjust the prompt fragments, use variables that reference key data, screenshots and context, then save the winning configuration as the default. Model choice stays in the customer's hands. Tolgee connects to external LLM providers such as OpenAI, Anthropic and Google Gemini, including self-hosted options, and multiple providers can be configured with load balancing to avoid rate limits. A newer MCP server links the platform to AI coding assistants including Claude Code, Cursor and Codex, allowing those tools to find keys, update translations and generate machine translations from the editor. It fits teams already using a localization platform or evaluating one. Tolgee publishes direct comparisons with Lokalise, Crowdin, Phrase, Transifex, Locize, Localazy and POEditor, which makes it easy to position against incumbents. Teams that want a raw translation API alone will find this heavier than needed, since the value sits in the review workflow and context collection around the model.

How do you use Tolgee AI Translator?

1Create a Tolgee project
Sign up at the Tolgee app and create a project for your application. Import your existing keys or start fresh so there is translation data for the AI to work against.
2Connect an LLM provider
Add an API key for a provider such as OpenAI, Anthropic or Gemini in the project settings. Multiple providers can be registered and load balanced to stay clear of rate limits.
3Add project and language context
Fill in the project description and any per-language notes so the model understands your domain and tone. Key descriptions can be added where a string needs extra explanation.
4Collect context from the app
Integrate the Tolgee JS SDK to have related keys and usage context extracted automatically. This is what lets the translator distinguish similar strings in different parts of the interface.
5Test prompts in the AI Playground
Run candidate prompts against selected keys, switch between models, and preview the output. Iterate until the results look right, then save the prompt as the project default.
6Wire up coding assistants with MCP
If your team works in Claude Code, Cursor or Codex, connect the MCP server so those tools can look up keys, update strings and trigger machine translation from the editor.

Pros and cons

Pros

Context is collected automatically from the app through the JS SDK, so the model sees related keys rather than isolated stringsAI
The AI Playground lets teams test prompts on real project data and compare models before committing to a defaultAI
Works with external providers including OpenAI, Anthropic and Gemini, with self-hosted options and load balancing across providersAI
MCP server connects Tolgee to coding assistants like Claude Code and Cursor for translation work inside the editorAI
Human review stays in the loop, so AI output can be refined to production quality before releaseAI

Cons

No pricing figures appear on the feature page, so cost comparisons require a separate trip to the pricing pageAI
Quality depends on the connected LLM provider, meaning setup and model selection carry real configuration effortAI
Automatic context collection only works where the JS SDK is integrated, which leaves non-JS stacks with less contextAI
Prompt customization and player testing add a learning curve for teams that just want one-click translationAI

How much does Tolgee AI Translator cost?

Support

Support runs through documentation, GitHub discussions, Slack and Discord communities, plus a demo booking page. An ISO 27001 information security policy and a public status page are also published.

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Integrations

Connects to LLM providers including OpenAI, Anthropic and Google Gemini, with self-hosted options and load balancing. An MCP server links Tolgee to Claude Code, Cursor and Codex, and a JS SDK handles app-side context collection.

Learn more

Features

Context-aware AI translation driven by app data collected through the JS SDK, plus editable project and language notes. The AI Playground tests prompts on real keys, compares models and saves defaults. Prompt fragments are customizable with variables for key data, screenshots and context. LLM providers are configurable, and an MCP server connects the platform to AI coding assistants.

Learn more

Frequently asked questions about Tolgee AI Translator

Does Tolgee AI Translator have an API?
Yes, Tolgee AI Translator offers an API.
How do you use Tolgee AI Translator?
The walkthrough on this page covers 6 steps: 1. Create a Tolgee project 2. Connect an LLM provider 3. Add project and language context 4. Collect context from the app 5. Test prompts in the AI Playground 6. Wire up coding assistants with MCP.
What platforms does Tolgee AI Translator support?
Tolgee AI Translator is available on Web App and Browser extension.
What does Tolgee AI Translator integrate with?
Connects to LLM providers including OpenAI, Anthropic and Google Gemini, with self-hosted options and load balancing. An MCP server links Tolgee to Claude Code, Cursor and Codex, and a JS SDK handles app-side context collection.
What are the limitations of Tolgee AI Translator?
No pricing figures appear on the feature page, so cost comparisons require a separate trip to the pricing page. Quality depends on the connected LLM provider, meaning setup and model selection carry real configuration effort. Automatic context collection only works where the JS SDK is integrated, which leaves non-JS stacks with less context.