LibreTranslate
A self-hosted machine translation tool supporting multi-language translation, usable offline with controllable data privacy
Note: Please open in the PC Client. Go to download >>>
Features
Supported Languages
System Requirements
16GB RAM recommended. 10GB+ storage recommended.
macOS 15+: Supports both Intel and M-series chips.
Windows 10/11: Intel/AMD GPUs supported, NVIDIA GPU recommended.
Note: For NVIDIA GPUs, install a newer driver.Screenshots
Introduction
LibreTranslate is a free and open-source machine translation API that anyone can deploy on their own server. It does not rely on commercial translation services like Google or Microsoft; instead, it uses open-source technology to provide translation capabilities. It is ideal for users who want to protect data privacy, need offline translation, or avoid restrictions from third-party services.
Note: The language models downloaded during the default installation are en,zh,zt,ko,fr,ja. For a full list of supported languages, please refer to: https://docs.libretranslate.com/guides/supported_languages/
To download additional language models, use the following command, es and it represent Spanish and Italian respectively:
python download_models.py es,itKey Features：
- Free and Unlimited：No paid subscriptions, with no limits (number of translations) or character count.
- Self-hosted：Can be installed on your own computer or server, ensuring data never leaves your infrastructure.
- Offline Capable：Works without an internet connection once language models are downloaded.
- Easy to Use：Offers a web interface and API, making it simple for developers to integrate into applications.
- Multi-language Support：Supports translation between multiple languages (depending on installed models).
Development Team & Technology：
LibreTranslate is developed and maintained by Piero Toffanin and community contributors, and is not owned by a specific commercial company. Its translation engine is powered by Argos Translate, an open-source lightweight machine translation framework that uses pre-trained open models.