Weblate

Self-Hosted

Open-source localization platform for collaborative translation

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Overview

Weblate is a collaborative open-source localization platform streamlining software translation workflows. It supports 100+ file formats (PO, JSON, XML), integrates with Git/GitHub/GitLab, and offers CI/CD automation. Features include translation memory, glossaries, quality checks (spelling/consistency), user roles, and real-time collaboration. Deployable via Docker, Kubernetes, or Python/Django setups, it lets teams manage translations efficiently while retaining data control.

Self-Hosting Resources

Below is a reference structure for docker-compose.yml. ⚠️ Do NOT run blindly. Replace placeholders with official values.

docker-compose.template.yml TEMPLATE

version: '3'
services:
  weblate:
    image: <OFFICIAL_IMAGE_NAME>:latest
    container_name: weblate
    ports:
      - "8080:<APP_INTERNAL_PORT>"
    volumes:
      - ./data:/app/data
    restart: unless-stopped

Key Features

  • Collaborative translation with real-time updates
  • 100+ file format & VCS/CI/CD integrations
  • Quality checks, translation memory, and glossary tools

Frequently Asked Questions

? Is Weblate hard to install?

Weblate simplifies deployment via Docker Compose or Kubernetes, making setup accessible for most users. Traditional Python/Django setups require dependencies, but detailed docs guide you through every step.

? Is it a good alternative to Crowdin or Lokalise?

Yes—Weblate matches core features (collaboration, VCS integration) but as open-source self-hosted software. It’s ideal for teams prioritizing data ownership over proprietary SaaS subscriptions.

? Is Weblate completely free?

The self-hosted core is 100% free under GPLv3. A hosted Weblate Cloud option exists with paid plans, but all self-hosted features (including advanced tools) are available at no cost.

Top Alternatives

People Also Ask about Weblate

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Tool Info

Pricing Open Source
Platform Self-Hosted

Pros

  • Fully open-source (GPLv3 license)
  • Self-hosted for complete data control
  • Seamless integration with dev workflows
  • Advanced translation productivity tools

Cons

  • Requires server resources (scales with team size)
  • Initial setup needs basic Docker/Kubernetes knowledge
  • Advanced features have a moderate learning curve

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