video-understand

---
name: video-understand
description: |
  Understand video content locally using ffmpeg frame extraction and Whisper transcription. No API keys needed.
  Use when: (1) Understanding what a video contains, (2) Transcribing video audio locally,
  (3) Extracting key frames for visual analysis, (4) Getting video content without API keys.
---

# video-understand

Understand video content locally using ffmpeg for frame extraction and Whisper for transcription. Fully offline, no API keys required.

## Prerequisites

- `ffmpeg` + `ffprobe` (required): `brew install ffmpeg`
- `openai-whisper` (optional, for transcription): `pip install openai-whisper`

## Commands

```bash
# Scene detection + transcribe (default)
python3 skills/video-understand/scripts/understand_video.py video.mp4

# Keyframe extraction
python3 skills/video-understand/scripts/understand_video.py video.mp4 -m keyframe

# Regular interval extraction
python3 skills/video-understand/scripts/understand_video.py video.mp4 -m interval

# Limit frames extracted
python3 skills/video-understand/scripts/understand_video.py video.mp4 --max-frames 10

# Use a larger Whisper model
python3 skills/video-understand/scripts/understand_video.py video.mp4 --whisper-model small

# Frames only, skip transcription
python3 skills/video-understand/scripts/understand_video.py video.mp4 --no-transcribe

# Quiet mode (JSON only, no progress)
python3 skills/video-understand/scripts/understand_video.py video.mp4 -q

# Output to file
python3 skills/video-understand/scripts/understand_video.py video.mp4 -o result.json
```

## CLI Options

| Flag | Description |
|------|-------------|
| `video` | Input video file (positional, required) |
| `-m, --mode` | Extraction mode: `scene` (default), `keyframe`, `interval` |
| `--max-frames` | Maximum frames to keep (default: 20) |
| `--whisper-model` | Whisper model size: tiny, base, small, medium, large (default: base) |
| `--no-transcribe` | Skip audio transcription, extract frames only |
| `-o, --output` | Write result JSON to file instead of stdout |
| `-q, --quiet` | Suppress progress messages, output only JSON |

## Extraction Modes

| Mode | How it works | Best for |
|------|-------------|----------|
| `scene` | Detects scene changes via ffmpeg `select='gt(scene,0.3)'` | Most videos, varied content |
| `keyframe` | Extracts I-frames (codec keyframes) | Encoded video with natural keyframe placement |
| `interval` | Evenly spaced frames based on duration and max-frames | Fixed sampling, predictable output |

If `scene` mode detects no scene changes, it automatically falls back to `interval` mode.

## Output

The script outputs JSON to stdout (or file with `-o`). See `references/output-format.md` for the full schema.

```json
{
  "video": "video.mp4",
  "duration": 18.076,
  "resolution": {"width": 1224, "height": 1080},
  "mode": "scene",
  "frames": [
    {"path": "/abs/path/frame_0001.jpg", "timestamp": 0.0, "timestamp_formatted": "00:00"}
  ],
  "frame_count": 12,
  "transcript": [
    {"start": 0.0, "end": 2.5, "text": "Hello and welcome..."}
  ],
  "text": "Full transcript...",
  "note": "Use the Read tool to view frame images for visual understanding."
}
```

Use the Read tool on frame image paths to visually inspect extracted frames.

## References

- `references/output-format.md` -- Full JSON output schema documentation

• SKILL.md 3 KB
• references/output-format.md 3 KB
• scripts/understand_video.py 20 KB