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chengyi-ai/native-subtitle-quote-image
- What it does
- This Agent Skill and its Python tools help content editors turn real video frames into quote images without confusing original subtitles with later additions. Inputs are an authorized local video or YouTube URL, selected timestamps, and optionally reviewed lines in JSON. Native mode crops and joins subtitles already burned into the video pixels rather than redrawing recognized text. Script mode draws approved lines on real frames and must be identified as added subtitles. Outputs include JPG images, the corresponding timestamp or line JSON, and a contact sheet for multi-image work. The workflow samples candidate frames, checks subtitle boundaries, composes the image, and requires visual review of each result. Getting started requires installing the skill in a compatible agent and separately preparing Python 3.10 or newer, Pillow, and imageio-ffmpeg or FFmpeg; the scripts can also run without an agent. YouTube acquisition additionally needs yt-dlp and a supported JavaScript runtime, while Chinese, Japanese, or Korean scripted text needs suitable fonts. Switchable subtitle tracks cannot become native subtitle pixels, and neither enlargement nor the MIT code license supplies better source detail or rights to third-party footage.
- License
- MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.











































