vibevibe is a Python package providing offline, on-device speech recognition focused on mixed Chinese-English (code-switching) dictation. It uses Qwen3-ASR models converted to ONNX for local inference on Linux and other platforms. Users can trigger dictation via voice command or hotkey, making it suitable for developers building voice-typing or ASR features without cloud dependencies.
vibevibe is an AI & ML project. It focuses on transcribing mixed Chinese-English speech to text without sending audio to cloud services. vibevibe is an open-source project aimed at developers. vibevibe is open source under the Apache-2.0 license. It runs on the command line, and it can be self-hosted.
jeffliulab builds and maintains vibevibe, and it first shipped in 2026. The project is developed in the open on GitHub with 1 commit in the last 90 days. Key capabilities include Offline ASR, Code-switching Support, and ONNX Runtime.
Summary written by a language model from the project’s public pages.
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