Video to Transcript

Problem

Many videos already contain enough spoken material, but not enough reusable writing. In lectures, interviews, meeting recordings, and short-video scripts, useful ideas, quotes, and adaptation material are often buried under filler, repetition, and loose structure. Plain ASR or local tooling can produce a raw transcript, but the team still has to edit, condense, and reformat it for different contexts.

How It Works and Where It Fits

This skill turns video transcription into a semantic cleanup workflow. It can process a video link or a local video file, extract the speech, filter stutters, repetitions, and meaningless interjections, and produce a cleaner structured draft. The key control is --prompt, which defines the output goal: summarizing core points, rewriting for Xiaohongshu or Douyin, extracting quotes, extracting full dialogue, breaking down shot-level copy, or translating between Chinese and English. It can also reuse the previous parsed result for follow-up requests.

• Best for: lecture notes, interview cleanup, meeting reviews, short-video script rewrites, multilingual content reuse
• Caveats: output quality depends on how clearly the prompt is written; batch processing requires an external script to loop calls; a TOKEN must be configured before use

It is not a full video-analysis system. It is closer to an intermediate layer that converts spoken video material into editable writing.