YouTube Chapter Generator#

Auto-generate YouTube video chapters from subtitles. Parses VTT/SRT files, identifies topic transitions, and produces timestamped chapter markers.

Usage#

bash

# Download subtitles first
yt-dlp --write-sub --write-auto-sub \
  --sub-lang "zh-Hans,zh,en" \
  --convert-subs vtt \
  --skip-download \
  -o "/tmp/%(id)s" \
  "https://www.youtube.com/watch?v=VIDEO_ID"

# Generate chapters from subtitle file
python3 generate_chapters.py "/tmp/VIDEO_ID.zh-Hans.vtt"

Chapter Generation Logic#

python

import re

def parse_vtt_timestamps(vtt_content):
    """Extract timestamps and text from VTT file"""
    timestamps = []
    for match in re.finditer(r'(\d{2}:\d{2}:\d{2})\.\d{3}\s*-->\s*\d{2}:\d{2}:\d{2}\.\d{3}', vtt_content):
        timestamps.append(match.group(1))
    return timestamps

def generate_chapters(vtt_file, min_gap_seconds=30):
    """Generate chapters from VTT subtitle file"""
    with open(vtt_file) as f:
        content = f.read()

    timestamps = parse_vtt_timestamps(content)
    if len(timestamps) < 2:
        return []

    # Find natural breaks (gaps > min_gap_seconds)
    chapters = []
    last_ts = timestamps[0]

    for ts in timestamps[1:]:
        gap = parse_ts(ts) - parse_ts(last_ts)
        if gap >= min_gap_seconds:
            chapters.append(last_ts)
            last_ts = ts

    chapters.append(timestamps[-1])
    return chapters

def parse_ts(ts_str):
    """Parse HH:MM:SS to seconds"""
    parts = ts_str.split(":")
    return int(parts[0])*3600 + int(parts[1])*60 + int(parts[2])

# Output format: "00:00 Introduction\n00:45 Main Topic\n..."

YouTube Chapter Requirements#

• Minimum 3 chapters for YouTube to auto-display
• First chapter must start at 0:00
• Chapters must be at least 10 seconds apart
• Maximum 12 chapters recommended

Tags#

youtube chapters video timestamps subtitles automation