Writing and content decision
Crowdin
Build a useful, narrow localization workflow yourself (sync, AI pre-translate, editor, QA), but replicating Crowdin’s integrations, Copilot orchestration, dubbing, and enterprise polish/scale is expensive and time-consuming—worth self-hosting for limited needs, not a full replacement.
Visit website↗$59/mo
$708/yr
Not verified against a pricing page.
$100one-off80 h to build
$50/mo8 h/mo upkeep
On cash alone, building overtakes the subscription at 1 seat.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Crowdin alternatives, with the arithmetic →
Code Crowdin publishes itself
Not a way out of the subscription - these are the vendor’s own repositories. Worth a look for how they build, and for anything you would have to integrate with.
- crowdin/crowdin-cli★313 GitHub starsMITA command-line client for the Crowdin API↗
- crowdin/github-action★235 GitHub starsMITA GitHub action to manage and synchronize localization resources with your Crowdin project↗
- crowdin/crowdin-api-client-js★138 GitHub starsMITJavaScript client library for Crowdin API↗
- crowdin/mobile-sdk-ios★134 GitHub starsMITCrowdin iOS SDK delivers all new translations from Crowdin project to the application immediately↗
What a replacement has to do
- Sync source strings from a repo/CMS, generate AI pre-translations, present an editor for human review with TM/glossary suggestions, run QA checks, and sync approved translations back to the codebase or CMS.
What it still won’t have
- The 700+ ready-made integrations/app marketplace
- Crowdin Copilot orchestration and task automation features
- AI dubbing studio and built-in audio/video localization tooling
- Enterprise polish, scale, and managed services (over-the-air SDK, AWS Marketplace packaging)
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 1 seat.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal self-hosted localization service using Node.js (Express), Postgres, Redis, and a React-based editor. In scope: (1) webhook/CLI to import source files from GitHub and a CMS and export translated files back (create PRs), (2) a Postgres schema for projects, source strings, target translations, and Translation Memory, (3) integration with at least one external MT/LLM provider via API keys for pre-translation, (4) a web translation editor with TM/glossary suggestions and save/approve flow, (5) an automated QA step (placeholder/format/length checks), and (6) background worker for tasks (BullMQ). Out of scope: audio/video dubbing, large-scale integrations marketplace, enterprise billing/managed services. Include error handling, input validation, authentication (JWT + workspace multi-tenancy), and automated tests for API endpoints and the editor save/approve flow.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 5 cited sources+3
- 3/3 assessment runs agreed+4
- Evidence score64
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 5
Every page the run actually retrieved.
- official productCrowdin: Localization Platform to Manage Your Translation
- official pricingCrowdin Pricing | Plans for Teams of All Sizes
- official docsAI Translation Software: Translate to 300+ Languages
- open sourcetolgee/tolgee-platform
- open sourceever-co/ever-traduora
Integrity checks
What held up, and what did not.
