Transcribe, categorize, and summarize videos using ffmpeg, whisper-cpp, and OCR.
npx skills add https://github.com/tal/plugin-marketplace --skill sort-videos
Please help me install this Agent Skill. Skill: sort-videos Source: https://github.com/tal/plugin-marketplace/tree/main/plugins/sort/skills/sort-videos Command: npx skills add https://github.com/tal/plugin-marketplace --skill sort-videos
This Skill automates the process of transcribing videos, extracting on-screen text, and organizing video content into relevant topics, reducing manual effort in video analysis and categorization.
High-intent search queries and answers about installing and using this skill.
Video transcription and categorization is automated by converting audio to text and extracting on-screen text, then classifying the content into relevant topics and moving files into structured folders for easy retrieval.
To extract text from educational videos, the Skill integrates speech-to-text transcription with visual text analysis techniques, capturing both spoken dialogue and on-screen text from video frames.
Yes, ffmpeg, whisper-cpp, and jq are required dependencies to handle audio extraction, speech-to-text transcription, and JSON data processing for generating markdown summaries.
The best way to summarize conference videos is to process the file by referencing its path, generating a detailed markdown summary, and optionally exporting an audio MP3 for extended listening and review.
Yes, you can process a downloaded video file by referencing its path or glob pattern, which allows the Skill to handle batch video organization within user-defined folders.
OCR frame analysis extracts on-screen text from long-form media files, but processing extended videos may require significant computational resources and time due to detailed frame-by-frame evaluation.
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