Audio
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
★ 21,8k estrellasMIT
Ver la guía →WhisperJAV es un proyecto de LLM local de código abierto de meizhong986 (meizhong986/WhisperJAV en GitHub). Tiene 2.298 estrellas en GitHub y 195 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 17 de septiembre de 2026.
Noise-robust subtitle generator powered by Whisper and local ASR models.
Set it up from the repo or releases.
Point it at the file needing subtitles.
ASR models generate the subtitle track.
Local LLMs clean up errors and hallucinations.
Strong baseline transcription quality.
Modern ASR model in the pipeline.
Handles difficult, noisy audio.
Voice activity detection trims silence.
Local LLMs refine raw transcripts.
Generates ready-to-use subtitle files.
Download the source and move into the project folder.
git clone https://github.com/meizhong986/WhisperJAV.git
cd WhisperJAVEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandJapanese is a focus; check the docs for the full language list.
MIT licensed — commercial use allowed.
ASR runs much faster with one; CPU is possible but slow.
A local LLM pass cleans up the raw ASR output.
Check the docs for supported output formats.
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.