Audio
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
★ 21,8 Tsd. SterneMIT
Anleitung ansehen →WhisperJAV ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von meizhong986 (meizhong986/WhisperJAV auf GitHub). Es hat 2.298 Sterne auf GitHub und 195 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 17. September 2026 auf GitHub aktualisiert.
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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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.