{"repo":"SWHL/RapidVideOCR","free":true,"listed":false,"github":"https://github.com/SWHL/RapidVideOCR","clone":"git clone https://github.com/SWHL/RapidVideOCR.git","description":"🎦 Extract video hard subtitles and automatically generate corresponding srt files.","language":"Python","stars":508,"topics":["video","ocr","subtitle","videosubfinder","rapid-videocr"],"license":"Apache-2.0","category":"media-processing","readme_excerpt":"  =3.6-aff.svg\" 简体中文 English Introduction rapid videocr is a tool designed for the automatic extraction of hard subtitles from videos and generates corresponding srt ass txt files. Supported subtitle languages: List of Supported Languages. Since this tool relies on the rapidocr library, any language supported by rapidocr for recognition is also supported by rapid videocr . Its advantages include: - Faster Extraction : When used in conjunction with the VideoSubFinder software, it can extract key subtitle frames more quickly. - More Accurate Recognition : It utilizes RapidOCR as its recognition library. - Easier to Use : It can be installed directly via pip and is ready to use. For the desktop EXE version, please visit RapidVideOCRDesktop. If this tool has been helpful to you, please give it a star ⭐. Online Demo Overall framework Installation Usage [!NOTE] The input image path of rapid videocr must be the path of RGBImages or TXTImages output by VideoSubFinder software. or python script: Documentation Full documentation can be found on docs in Chinese. Code Contributors Contributing Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate. Sponsor If you want to sponsor the project, you can directly click the Buy me a coffee image, please write a note (e.g. your github account name) to facilitate adding to the sponsorship list below. License This project is released u","default_branch":null,"files":null,"tree":[],"storefront":"/r/SWHL","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/SWHL/RapidVideOCR/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}