---
description: YouTube SBV subtitle correction and metadata generation for Jamie Clinic
---

# Jamie YouTube Subtitle Checker

SBV subtitle file typo correction and YouTube metadata generation.

## Triggers
- "check subtitles", "subtitle QA"
- "자막 교정", "SBV 파일"

## Quick Commands

```bash
# SBV typo correction
python scripts/sbv_corrector.py --input "subtitle.sbv" --output "subtitle_corrected.sbv"

# Chapter extraction
python scripts/chapter_extractor.py --input "subtitle.sbv"

# Full workflow (correction + chapters + metadata)
python scripts/process_subtitle.py --input "subtitle.sbv" --output-dir "./output"
```

## Workflow
1. SBV parsing and text extraction
2. Typo auto-correction (typo_dictionary.json)
3. Medical terminology standardization
4. Chapter timestamp extraction
5. YouTube metadata generation

## Key Typo Patterns

| Category | Wrong | Correct |
|----------|-------|---------|
| Brand | 데이미, 재이미 | 제이미 |
| Procedure | 쌍거풀, 쌍커풀 | 쌍꺼풀 |
| Medical | 절계, 절게 | 절개 |

## Output Files
- `{filename}_corrected.sbv` -- Corrected subtitles
- `youtube_video_info.md` -- YouTube metadata (title, chapters, description, hashtags)
- `correction_report.md` -- Typo change log

## Quality Checklist
- Brand name "제이미성형외과" correct
- Procedure names use official terminology
- Chapters include 0:00 intro
- 3-5 hashtags included