# Video Processor

> Process videos by removing segments and concatenating remaining parts. Use when you need to remove detected pauses/openings from videos, create highlight reels, or batch process segment removals using ffmpeg filter_complex. Use when this capability is needed.

- Skill: `tomevault-io/video-processor-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/video-processor-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/video-processor-2/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/video-processor-2

---


# Video Segment Processor

Processes videos by removing specified segments and concatenating the remaining parts. Handles multiple removal segments efficiently using ffmpeg's filter_complex.

## Use Cases

- Removing detected pauses and openings from videos
- Creating highlight reels by keeping only specific segments
- Batch processing multiple segment removals

## Usage

```bash
python3 /root/.claude/skills/video-processor/scripts/process_video.py \
    --input /path/to/input.mp4 \
    --output /path/to/output.mp4 \
    --remove-segments /path/to/segments.json
```

### Parameters

- `--input`: Path to input video file
- `--output`: Path to output video file
- `--remove-segments`: JSON file containing segments to remove

### Input Segment Format

```json
{
  "segments": [
    {"start": 0, "end": 600, "duration": 600},
    {"start": 610, "end": 613, "duration": 3}
  ]
}
```

Or multiple segment files:

```bash
python3 /root/.claude/skills/video-processor/scripts/process_video.py \
    --input video.mp4 \
    --output output.mp4 \
    --remove-segments opening.json pauses.json
```

### Output

Creates the processed video and a report JSON:

```json
{
  "original_duration": 3908.61,
  "output_duration": 3078.61,
  "removed_duration": 830.0,
  "compression_percentage": 21.24,
  "segments_removed": 91,
  "segments_kept": 91
}
```

## How It Works

1. **Load removal segments** from JSON file(s)
2. **Calculate keep segments** (inverse of removal segments)
3. **Build ffmpeg filter** to trim and concatenate
4. **Process video** using hardware-accelerated encoding
5. **Generate report** with statistics

### FFmpeg Filter Example

For 3 segments to keep:
```
[0:v]trim=start=600:end=610,setpts=PTS-STARTPTS[v0];
[0:a]atrim=start=600:end=610,asetpts=PTS-STARTPTS[a0];
[0:v]trim=start=613:end=1000,setpts=PTS-STARTPTS[v1];
[0:a]atrim=start=613:end=1000,asetpts=PTS-STARTPTS[a1];
[v0][v1]concat=n=2:v=1:a=0[outv];
[a0][a1]concat=n=2:v=0:a=1[outa]
```

## Dependencies

- ffmpeg with libx264 and aac support
- Python 3.11+

## Limitations

- Processing time: ~0.3× video duration (e.g., 20 min for 65 min video)
- Requires sufficient disk space (output ≈ 70-80% of input size)
- May have frame-accurate cuts (not sample-accurate)

## Example

```bash
# Process video with opening and pause removal
python3 /root/.claude/skills/video-processor/scripts/process_video.py \
    --input /root/lecture.mp4 \
    --output /root/compressed.mp4 \
    --remove-segments /root/opening.json /root/pauses.json

# Result: 65 min → 51 min (21.2% compression)
```

## Performance Tips

- Use `-preset medium` for balanced speed/quality
- Use `-crf 23` for good quality at reasonable size
- Process on machines with 2+ CPU cores for faster encoding

## Notes

- Preserves video quality using CRF encoding
- Maintains audio sync throughout
- Handles edge cases (segments at start/end of video)
- Generates detailed statistics for verification

---
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<!-- tomevault:4.0:skill_md:2026-04-11 -->