by modelscope · Agent Tool · ★ 5.8k
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「简体中文 | English」 ⚡ Open-source, accurate and easy-to-use video clipping tool 🧠 Explore LLM based video clipping with FunClip What's New ｜ On Going ｜ Install ｜ Usage ｜ Community FunClip is a fully open-source, locally deployed automated video clipping tool. It leverages Alibaba TONGYI speech lab's open-source FunASR Paraformer series models to perform speech recognition on videos. Then, users can freely choose text segments or speakers from the recognition results and click the clip button to obtain the video clip corresponding to the selected segments (Quick Experience Modelscope⭐ [Hugging
| Stars | 5,835 |
| Forks | 704 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 53.042/100 |
| Last Updated | 2026-06-21 |
| Created | 2023-05-17 |
| Platforms | cli, python |
| Est. Tokens | ~16k |
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FunClip is Open-source, accurate and easy-to-use video speech recognition & clipping tool. LLM-based AI clipping integrated.. It is categorized as a Agent Tool with 5.8k GitHub stars.
FunClip is primarily written in Python. It covers topics such as ai-tools, ai-video-editing, asr.
You can find installation instructions and usage details in the FunClip GitHub repository at github.com/modelscope/FunClip. The project has 5.8k stars and 704 forks, indicating an active community.
FunClip is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to FunClip on Agent Skills Hub include autoclip, awesome-openclaw-usecases-zh, bailing. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.