

video subtitle extractor
Video-subtitle-extractor (VSE) is a free, open-source tool which can help you rip the hard-coded subtitles from videos and automatically generate corresponding srt files for each video. It includes the following implementations:
Cost / License
- Free
- Open Source
Platforms
- Windows
- Linux
Features
- OCR
- Srt
Tags
- deep-learning
- subrip
- Subtitles
- hardsub
video subtitle extractor News & Activities
Recent activities
Eberload added video subtitle extractor as alternative to Scanframe
video subtitle extractor information
What is video subtitle extractor?
Video-subtitle-extractor (VSE) is a free, open-source tool which can help you rip the hard-coded subtitles from videos and automatically generate corresponding srt files for each video. It includes the following implementations:
Detect and extract subtitle frames (using traditional graphic method) Detect subtitle areas (i.e., coordinates) (as well as scene text if you want) (using deep learning algorithms) Converting graphic text into plain-text (using deep learning algorithms) Filter non-subtitle text (e.g., Logo and watermark etc.) Remove watermark, logo text and original video hard subtitles, see: video-subtitle-remover (VSR). Remove duplicated subtitle line and generate srt file (by calculating text similarity) Batch extraction. You can select multiple video files at one time and this tool can generate subtitles for each video. Multiple language support. You can extract subtitles in 87 languages such as: Simplified Chinese, English, Japanese, Korean, Arabic, Traditional Chinese, French, German, Russian, Spanish, Portuguese, Italian Multi-mode: fast: (Recommended) Uses a lightweight model for quick subtitle extraction, though it might miss a small amount of subtitles and contains a few typos. auto: (Recommended) Automatically selects the model. It uses the lightweight model under the CPU, and the precise model under the GPU. While subtitle extraction speed is slower and might miss a minor amount of subtitles, there are almost no typos. accurate: (Not Recommended) Uses the precise model with frame-by-frame detection under the GPU, ensuring no missed subtitles and almost non-existent typos, but the speed is very slow.


