How to Create Automated Video SEO Optimization

The automate video seo optimization youtube system I run optimizes titles, descriptions, and tags. I build this for clients who publish video content consistently and need to move faster without adding headcount.

Uses ai to generate seo-optimized metadata based on transcript content. The whole pipeline runs from a single Python script.

What You Need

• Python 3.9+
• Anthropic API key (Claude)
• FFmpeg for video processing
• OpenAI Whisper for transcription (where applicable)

Step 1: Install Dependencies

pip install anthropic openai-whisper python-dotenv moviepy

import anthropic
import json
import os
from dotenv import load_dotenv

load_dotenv()
claude = anthropic.Anthropic()

Step 2: Set Up the Core Processing Function

def optimize_video_seo(input_path, config=None):
    if config is None:
        config = {"quality": "high", "format": "standard"}

    print(f"Processing: {input_path}")
    print(f"Config: {json.dumps(config)}")

    # Step 1: Analyze the input
    analysis = analyze_content(input_path)

    # Step 2: Generate the output
    result = generate_output(analysis, config)

    return result

Step 3: Build the AI Analysis Layer

def analyze_content(input_path):
    # Read or transcribe the input
    with open(input_path, 'r') as f:
        content = f.read()

    message = claude.messages.create(
        model="claude-sonnet-4-20250514",
        max_tokens=2048,
        system="Analyze this content for video SEO optimizer purposes. Return structured JSON with your findings.",
        messages=[{"role": "user", "content": content[:15000]}]
    )
    return json.loads(message.content[0].text)

Step 4: Generate and Save Output

def generate_output(analysis, config):
    output_dir = "output"
    os.makedirs(output_dir, exist_ok=True)

    output_path = os.path.join(output_dir, "result.json")
    with open(output_path, 'w') as f:
        json.dump(analysis, f, indent=2)

    print(f"Output saved: {output_path}")
    return output_path

Step 5: Add Batch Processing

def batch_process(input_dir, config=None):
    results = []
    for filename in os.listdir(input_dir):
        if filename.endswith(('.mp4', '.mov', '.txt', '.json')):
            filepath = os.path.join(input_dir, filename)
            result = optimize_video_seo(filepath, config)
            results.append({"file": filename, "result": result})

    print(f"Processed {len(results)} files")
    return results

batch_process("./input-files")

What to Build Next

Add a notification layer that sends results to Slack or email when processing completes. Then connect the batch processor to a file watcher so new content gets processed automatically on arrival.

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