In the past two weeks, there has been frequent activity in the AI voice domain. Microsoft open-sourced the VibeVoice Model, and Google also updated Gemini Audio. The progress of these two giants has shown me the direction. I seized this opportunity to create MeetLingo—a real-time voice translation tool designed for PC online meeting scenarios.

The core selling point is straightforward: when VibeVoice announced it could reduce latency to 300 milliseconds, I suddenly realized—full-chain optimization of speech recognition, translation, and synthesis has matured. In the past, these technologies operated independently; now they can be seamlessly integrated.

MeetLingo was born based on this understanding. It is optimized for real conference scenarios, aiming to reduce latency, ensure accuracy, and provide a user interface that is simple enough. This is not just technical stacking; it is a deep understanding of the scene.

Interestingly, this wave of AI has created room for a new batch of tools to survive. As the infrastructure for large models improves, ordinary developers can quickly iterate to produce competitive products.