chenyme/Chenyme-AAVT
A fully automated pipeline that transcribes audio with Whisper, translates subtitles using GPT-4/4o, and merges them into a translated video.
Not currently ranked — collecting fresh signals.
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This project automates video translation by chaining three AI stages: it first uses faster-whisper to transcribe spoken audio into text, then feeds the transcripts to GPT-4 or GPT-4o for subtitle translation, and finally muxes the translated subtitles back into the original video. It supports batch processing and is distributed as a Python package, Docker image, and Google Colab notebook.
Frequently asked
- What is chenyme/Chenyme-AAVT?
- A fully automated pipeline that transcribes audio with Whisper, translates subtitles using GPT-4/4o, and merges them into a translated video.
- Is Chenyme-AAVT open source?
- Yes — chenyme/Chenyme-AAVT is open source, released under the MIT license.
- What language is Chenyme-AAVT written in?
- chenyme/Chenyme-AAVT is primarily written in Python.
- How popular is Chenyme-AAVT?
- chenyme/Chenyme-AAVT has 3.1k stars on GitHub.
- Where can I find Chenyme-AAVT?
- chenyme/Chenyme-AAVT is on GitHub at https://github.com/chenyme/Chenyme-AAVT.