In the preview window, adjust the (the red or green bounding boxes) so they cover only the specific area where the subtitles appear. This prevents the software from processing background noise or logos.
The library provides a Python API specifically designed for extracting hardcoded subtitles using the PaddleOCR engine. It includes a Colab notebook for easy experimentation and supports processing video clips while maintaining correct timestamp alignment with the full video. extract hardsub from video
One of the most significant decisions you will make is whether to use local or cloud-based extraction. In the preview window, adjust the (the red
Select your video or the folder of images generated in Step 2. It includes a Colab notebook for easy experimentation
To , you cannot rely on simple stream splitting because the text is permanently merged into the visual pixels of the frames. Instead, you must use Optical Character Recognition (OCR) software or AI-driven transcription tools to scan the frames, identify text patterns, and generate a timed text file like an SRT or ASS file .
If your video has two sets of subs (e.g., Chinese and English), make sure to crop your search area very tightly around the specific language you want to extract.