Synthalingua is a self-hosted, AI-powered tool for real-time audio translation from various languages into English, with potential for multilingual outputs. It targets users needing to understand spoken content in different languages, offering a flexible, locally-run alternative to cloud-based services.

How It Works

Synthalingua leverages AI models, likely based on large language models and speech-to-text technologies, to transcribe and translate audio. It supports both GPU and CPU processing, allowing users to balance performance and hardware requirements. The system is designed to handle streaming audio sources and local files, with configurable parameters for audio detection and processing.

Quick Start & Requirements

• Install: Run setup.bat (Windows) or setup.bash (Linux) after installing Python (3.10.9+ x64), Git, and FFmpeg. CUDA is optional but required for GPU acceleration.
• Prerequisites: Python 3.10.9 (x64), Git, FFmpeg. NVIDIA GPU with CUDA for best performance.
• Setup Time: Estimated to be under 30 minutes for basic setup.
• Docs: Wiki, Installation/Setup, Video Demos

Highlighted Details

• Supports real-time translation from live streams (Twitch, YouTube, HLS) and local audio files.
• Offers extensive command-line arguments for fine-tuning audio detection, language settings, and output formats.
• Includes a portable GUI version available on itch.io.
• Supports custom dictionaries and webhook integration for Discord.

Maintenance & Community

• Actively developed, with a public To-Do list indicating ongoing improvements.
• Mentions contributors with links to their profiles/websites.
• No explicit community links (Discord/Slack) are provided in the README.

Licensing & Compatibility

• The README does not explicitly state a license.
• Compatible with Windows 10+ and Linux. NVIDIA GPU support is primary; AMD GPU support is experimental on Linux.

Limitations & Caveats

The tool is in beta and may produce translation errors or bugs, with accuracy dependent on input audio clarity and speed. It is intended for casual, non-professional use and not for high-stakes translations. AMD GPU support on Windows is not yet available.