BabelDuck is a beginner-friendly, customizable AI conversation practice application designed to lower the barrier and cognitive load for language learners. It offers features like multi-conversation management, custom system prompts, streaming responses, and in-conversation AI assistance for grammar, translation, or expression refinement, with seamless sub-dialogue support for clarification.

How It Works

BabelDuck integrates multiple LLM AI services and supports custom third-party APIs for flexible backend choices. It features both browser-based text-to-speech and Azure TTS for voice output, alongside voice input. Data is stored locally for user privacy, and the application supports per-conversation preference settings and a multi-language interface.

Quick Start & Requirements

• Install via Docker: docker run -d --name babel-duck --env-file .env -p 9000:9000 orenoid/babel-duck:latest
• Requires cloning the repository and setting up a .env file with API configurations.
• Access at http://localhost:9000.
• Official documentation: English, 简体中文

Highlighted Details

• Customizable AI assistance for grammar, translation, and expression refinement.
• Seamless sub-dialogue feature for discussing AI suggestions.
• Local data storage for enhanced user privacy.
• Support for multiple LLM/TTS services, including Azure TTS.

Maintenance & Community

The project is actively maintained, with the developer noting they are "still maintaining" despite being busy. Further community or roadmap details are not provided in the README.

Licensing & Compatibility

• The project uses an unspecified LICENSE. The README directs users to a LICENSE file for details.
• Compatibility for commercial use or closed-source linking is not explicitly stated.

Limitations & Caveats

The project is still under active development with several features planned for the future, including mobile adaptation, multi-modal voice support, and a plugin system. The specific license details are not immediately clear from the README.