# Youtube Asr Summarize

> Summarize YouTube videos with NO subtitles by doing local ASR (yt-dlp + faster-whisper) and extracting a few screenshot frames via ffmpeg. Use when the user asks to summarize the latest video from a channel and YouTube timedtext/subtitles are empty, or when no API tokens/keys should be used.

- Skill: `dvcrn/youtube-asr-summarize` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add dvcrn/youtube-asr-summarize`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/youtube-asr-summarize/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/dvcrn/youtube-asr-summarize

---


# YouTube ASR Summarize (local, no tokens)

Use this skill to summarize a YouTube video *even when subtitles are missing* by downloading audio and running local speech-to-text.

## Quick start

1) One-time deps

```bash
brew install yt-dlp ffmpeg
```

2) Create venv + install ASR

```bash
python3 -m venv .venv
source .venv/bin/activate
pip install faster-whisper
```

3) Run

```bash
python3 scripts/youtube_asr_summarize.py \
  --url "https://www.youtube.com/watch?v=<id>" \
  --out "/tmp/youtube-asr/<id>" \
  --model small \
  --lang zh \
  --frames 1 \
  --timeline-every 180
```

Outputs in `--out`:
- `summary.md`（含：链接 + 摘要 + 时间轴）
- `transcript.txt`
- `transcript.srt`
- `frames/frame_01.jpg` … (if `--frames > 0`)

## Notes

- Default model `small` (CPU/int8) is fast; use `--model medium` for better accuracy.
- If you need more control, see `references/workflow.md`.