T Tolgee
VS
L Lokalise
Independent head-to-head · Updated October 2026

Tolgee vs Lokalise

Open-source in-context editing against a cloud TMS built for product teams.

Tolgee is often described as an open-source alternative to Lokalise, and the comparison is fair on many features: both have translation memory, glossaries, QA checks, screenshots, machine translation and AI, a CLI and SDKs. Where they differ is in licensing and deployment, and in the way translators interact with your product.

Tolgee’s core is open source under Apache-2.0 and you can run it yourself with Docker or use Tolgee Cloud. Its signature feature is in-context editing in the running app. Lokalise is a closed, cloud-only platform with deeper workflow tooling, repository sync with GitHub, GitLab, Bitbucket and Azure Repos, and integrations with tools like Figma, Jira and Contentful.

At a glance

Choose Tolgee if you want open source, the option to self-host and in-context editing for a JavaScript or mobile app. Choose Lokalise if you want a managed platform with repository sync, broad integrations and first-class support for formats such as Laravel PHP files.

Tolgee vs Lokalise, side by side

How the two platforms differ on the questions that decide most evaluations.

Hosting

Tolgee: Tolgee Cloud, or self-hosted with Docker; self-hosting is free for open-source use

Lokalise: Cloud only; on-premises and private cloud are not offered

Open source

Tolgee: Apache-2.0 core, with enterprise features under a separate Tolgee licence

Lokalise: Closed platform; open-source CLI. Free for open-source non-profit projects

Pricing model

Tolgee: Cloud plans driven by hosted words, with unlimited seats on current plans and MT credits; free cloud plan

Lokalise: Tiered plans driven by words, seats, projects and usage; free trial

How translations reach production

Tolgee: CLI push and pull, or Content Delivery to a CDN; no native git sync yet

Lokalise: Git sync opens pull requests; CLI and API; OTA SDKs for iOS, Android and Flutter

Integrations

Tolgee: SDKs for React, Angular, Vue, Svelte, Next.js, i18next, Flutter, Android and iOS; Figma plugin; browser extension

Lokalise: GitHub, GitLab, Bitbucket, Azure Repos, Figma, Jira, Contentful, Webflow, WordPress

Machine translation & AI

Tolgee: Google, Amazon, DeepL and Azure, plus Tolgee’s AI translator

Lokalise: Google Translate and DeepL, plus Lokalise AI with glossary and style-guide awareness

Best for

Tolgee: JavaScript and mobile teams that want open source and in-context editing

Lokalise: Product teams that want a managed TMS with repository sync

Where they really differ

In-context editing

Both platforms offer in-context editing, but Tolgee builds its whole experience around it. With the Tolgee SDK in development, or its browser extension in production, you hold Alt or Option and click any text to translate it in place. Lokalise offers in-context editing too, and links screenshots to keys automatically through text recognition, which helps translators who work in the editor rather than in the app. If translators and product managers are going to correct copy while looking at the live product, Tolgee’s approach is the more direct one.

Owning your data and infrastructure

Tolgee can run on your own infrastructure, which matters for regulated industries or teams that simply prefer to own their tooling. Its Apache-2.0 core is free to use; enterprise features are licensed separately. Lokalise states plainly that it does not offer on-premises or private cloud deployments. In exchange you get a fully managed service with nothing to operate or upgrade.

Fitting into your repository

Lokalise opens pull requests in GitHub, GitLab, Bitbucket and Azure Repos, so translations arrive as reviewable changes. Tolgee does not have native git sync yet; it is on its roadmap. You can script the Tolgee CLI into CI to push and pull files, or skip the repository and serve translations from Tolgee’s Content Delivery CDN. File formats matter here too: Lokalise supports Laravel PHP lang files as a named format, while Tolgee has no PHP array format.

Machine translation and AI

Tolgee supports Google, Amazon, DeepL and Azure machine translation plus its own AI translator, paid for with MT credits on the cloud or through your own provider keys. Lokalise uses Google Translate and DeepL for standard suggestions, and its AI translation can take your glossary, style guide and screenshots into account and score its own output, with an AI-driven quality assessment task for review. Teams on a tight budget can keep Tolgee’s MT costs on their own provider accounts.

Choose Tolgee if…

  • You want an open-source platform and the option to self-host.
  • Your front end uses React, Vue, Angular, Svelte, Next.js or i18next.
  • In-context editing on the real product is a priority.
  • You want a free cloud plan with unlimited seats on current plans.

Choose Lokalise if…

  • You want translations delivered as pull requests into your repository.
  • You localize a Laravel app and need its PHP files supported as a named format.
  • You rely on Jira, Contentful, Webflow or WordPress integrations.
  • You want a managed platform with no infrastructure to run.

Frequently asked questions

Tolgee’s core is open source under Apache-2.0 and free to self-host for open-source use, and Tolgee Cloud has a free plan. Advanced and enterprise features are paid. Lokalise offers a free trial and is free for open-source non-profit projects.
No. Lokalise states that on-premises and private cloud deployments are not supported. Tolgee can be self-hosted with Docker.
Lokalise has a dedicated PHP Laravel language files format. Tolgee does not list a PHP array format, and its in-context SDKs target JavaScript and mobile apps rather than Blade templates.
Not natively yet; git sync is on Tolgee’s roadmap. You can use the Tolgee CLI in CI or deliver translations through Content Delivery. Lokalise opens pull requests in GitHub, GitLab, Bitbucket and Azure Repos.

A third option · this is our product

If you are a Laravel team, consider LangSyncer

Tolgee and Lokalise both serve many stacks, and neither puts Laravel at the centre. If yours is a Laravel app, LangSyncer works with your existing lang files and __() calls, translates with GPT or DeepL in one click, finds hardcoded strings with a built-in code scanner, and publishes changes to production without a deploy. It is fully managed, so there is nothing to host.

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