Weblate
Weblate is a libre web-based continuous localization system for libre projects. It automates translation workflows by connecting to Git repositories and enabling real-time collaboration.
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Open-source continuous localization platform with Git integration, perfect for teams and open-source projects.
Core Features
- Deep Git integration: translations are version-controlled and auto-committed
- Real-time collaborative translation with WYSIWYG editor
- Translation memory, glossary, and machine translation support (Google, DeepL, etc.)
- Automated quality checks (spelling, format, placeholder consistency)
- Self-hostable for full data control
What It Can't Do
- •Self-hosting requires Linux admin skills and initial setup can be complex. For large projects, consider the hosted service to reduce ops overhead. Machine translation requires API keys. Translation memory and glossary need manual curation for best results.
Use Cases
- Managing multilingual translations for open-source projects
- Continuous internationalization pipelines for enterprise software
- Community-driven documentation and UI translation collaboration
Weblate is a libre web-based continuous localization system designed to streamline translation workflows. It integrates seamlessly with version control systems like Git, supports real-time collaboration, and provides a clean interface for translators. Used by over 2500 projects and companies across 165+ countries, it offers features like automated checks, translation memory, glossary, and machine translation suggestions. Whether self-hosted or via the hosted service at weblate.org, it empowers teams to maintain up-to-date translations with minimal overhead.
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Getting Started
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Install the software
Double-click the downloaded installer and follow the prompts
Step 1: Set up Docker or Python environment on your server (Docker recommended for quick start)
Step 2: Run the weblate Docker image or follow the official installation guide
Step 3: Create a project, connect your Git repository, and add target languages
- Step 1: Set up Docker or Python environment on your server (Docker recommended for quick start)
- Step 2: Run the weblate Docker image or follow the official installation guide
- Step 3: Create a project, connect your Git repository, and add target languages
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If installed via Docker, run `docker-compose down -v` and delete volumes; if manually installed, remove the installation directory, Python virtual environment, and clean up the database.
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Ready to use after download. No additional runtime required.
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