Youtube Metadata Updater

YouTube Metadata Updater

Given a YouTube video URL, produce and apply optimized metadata: title, description with chapters, tags, and a thumbnail.

Prerequisites

• uvx with yt-dlp (audio download)
• faster-whisper server at localhost:8000 (transcription)
• ffmpeg (audio chunking)
• Google Chrome (thumbnail screenshot)
• YouTube Data API enabled in Google Cloud project
• OAuth token at ~/.config/youtube/token.json (created on first run)
• Update script at ~/Projects/ikigai/.bin/youtube-update.py

Workflow

Step 1: Extract video ID and download audio

# Extract video ID from URL (the ?v= parameter)
VIDEO_ID="HOzfntvOXMY"
MEETING_DIR="<project>/meetings/YYYY-MM-DD"
mkdir -p "$MEETING_DIR"

uvx yt-dlp -f "bestaudio" -o "$MEETING_DIR/livestream.%(ext)s" \
  "https://www.youtube.com/watch?v=$VIDEO_ID"

Also fetch existing metadata for context:

uvx yt-dlp --dump-json --no-download "https://www.youtube.com/watch?v=$VIDEO_ID" | \
  python3 -c "import json,sys; d=json.load(sys.stdin); print('Title:', d.get('title')); print('Duration:', d.get('duration_string')); print('Channel:', d.get('channel'))"

Step 2: Transcribe with faster-whisper

The faster-whisper server crashes on large files. Split into 2-minute chunks and transcribe sequentially using the small model.

# Split into 2-min m4a chunks (copy codec, fast)
DURATION=$(ffprobe -v error -show_entries format=duration -of csv=p=0 "$MEETING_DIR/livestream.m4a" | cut -d. -f1)
CHUNK=120
for i in $(seq 0 $CHUNK $((DURATION - 1))); do
  idx=$(printf "%02d" $((i / CHUNK)))
  ffmpeg -i "$MEETING_DIR/livestream.m4a" -ss $i -t $CHUNK -c copy "/tmp/mchunk_${idx}.m4a" -y
done

Transcribe all chunks with offset correction:

# Use Systran/faster-whisper-small (not large-v3, crashes on CPU)
# Add chunk offset to each segment's start time
# Save combined result to $MEETING_DIR/transcription.txt
# Format: [M:SS] text

Key lessons:

• Systran/faster-whisper-large-v3 crashes after 1-2 chunks on CPU — use small
• m4a chunks (codec copy) are faster to create than wav
• Wait for server health check between chunks if server restarts

Step 3: Analyze transcript and generate metadata

Read the full transcript. Identify:

• Topic transitions for chapter markers (aim for 15-25 chapters)
• Core theme for the title (clickable, under 70 chars)
• Key topics for description and tags
• Series context (e.g., AI Study Group meeting number)

Output format — save to $MEETING_DIR/youtube-metadata.md:

# YouTube Metadata — [Series] Meeting #N (YYYY-MM-DD)

**Title:** [Clickable title under 70 chars]

**Description:**
[2-3 sentence summary]

[Series context line]

Chapters:
0:00 [First chapter]
...

[Links section]

#tag1 #tag2 ...

**Tags:** tag1, tag2, ...

Also save $MEETING_DIR/youtube-update.json for the API:

{
  "title": "...",
  "description": "...",
  "tags": ["..."],
  "categoryId": "28"
}

Category IDs: 22=People & Blogs, 27=Education, 28=Science & Technology.

Step 4: Generate thumbnail

Create an HTML file ($MEETING_DIR/thumbnail.html) at 1280x720px with:

• Dark gradient background (purple/blue)
• Bold hero text (2-3 words max)
• Subtitle in monospace
• Terminal/code aesthetic elements
• Series badge (e.g., "LIVE — AI Study Group #3")

Capture at 2x resolution:

google-chrome --headless --screenshot="$MEETING_DIR/thumbnail.png" \
  --window-size=1280,720 --force-device-scale-factor=2 \
  "$MEETING_DIR/thumbnail.html"

Show the thumbnail to the user for approval before uploading.

Step 5: Update YouTube via API

uvx --from google-api-python-client --with google-auth-oauthlib --with google-auth-httplib2 \
  python3 ~/Projects/ikigai/.bin/youtube-update.py $VIDEO_ID \
  --meta "$MEETING_DIR/youtube-update.json" \
  --thumbnail "$MEETING_DIR/thumbnail.png"

First run requires OAuth browser authorization. Token is cached at ~/.config/youtube/token.json.

If YouTube Data API is not enabled, direct user to: https://console.developers.google.com/apis/api/youtube.googleapis.com/overview?project=PROJECT_ID

Step 6: Confirm

Verify the update by showing the video URL and confirming the title was applied.

Output Files