@Huahuazo: The most annoying part of reposting overseas videos? Manually cutting subtitles, eye-straining translation alignment, and guessing audio sync—this workflow is so inefficient it makes you want to smash your keyboard. VideoLingo connects the entire process into an automated pipeline. It has 7k+ stars on GitHub and an MIT license, so it's reliable to use. …

What's the most annoying thing about reposting overseas videos? Subtitle cutting by hand, translation alignment by eye, audio sync by feel—after this workflow, the efficiency is so low you want to smash your keyboard. VideoLingo turns the entire process into an automated pipeline. It currently has 7k+ stars on GitHub, uses the MIT license, and feels dependable. Its features cover the complete chain from download to finished product: it uses yt-dlp to fetch videos, WhisperX for word-level subtitle recognition, NLP and AI for sentence segmentation optimization, and finally a three-step translation process (translate-reflect-adapt) to generate finished subtitles. The sentence segmentation rules match Netflix's display standards—only one subtitle line is shown at a time, avoiding stacked lines that hurt the viewing experience. For dubbing, it supports GPT-SoVITS, Azure, OpenAI, and other TTS methods, allowing you to generate voice tracks in the target language. For local deployment, you can use uv or Docker, and it also supports integration with API services. For people who need to batch-process multilingual videos, this solution eliminates a lot of repetitive work. https://github.com/Huanshere/VideoLingo…