Jump to related tools in the same category or review the original source on GitHub.

AI & LLMs @fortytwode Updated 2/26/2026

Meta Video Ad Analyzer OpenClaw Skill - ClawHub

Do you want your AI agent to automate Meta Video Ad Analyzer workflows? This free skill from ClawHub helps with ai & llms tasks without building custom tools from scratch.

What this skill does

Extract and analyze content from video ads using Gemini Vision AI. Supports frame extraction, OCR text detection, audio transcription, and AI-powered scene analysis. Use when analyzing video creative content, extracting text overlays, or generating scene-by-scene descriptions.

Install

npx clawhub@latest install meta-video-ad-analyzer

Full SKILL.md

Open original
nameversiondescription
video-ad-analyzer1.0.0Extract and analyze content from video ads using Gemini Vision AI. Supports frame extraction, OCR text detection, audio transcription, and AI-powered scene analysis. Use when analyzing video creative content, extracting text overlays, or generating scene-by-scene descriptions.

Video Ad Analyzer

AI-powered video content extraction using Google Gemini Vision.

What This Skill Does

  • Frame Extraction: Smart sampling with scene change detection
  • OCR Text Detection: Extract text overlays using EasyOCR
  • Audio Transcription: Convert speech to text with Google Cloud Speech
  • AI Scene Analysis: Describe each scene using Gemini Vision
  • Native Video Analysis: Direct video understanding for longer content
  • Thumbnail Generation: Auto-generate thumbnails from first frame

Setup

1. Environment Variables

# Required for Gemini Vision
GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json

# Required for audio transcription
# (same service account needs Speech-to-Text API enabled)

2. Dependencies

pip install opencv-python pillow easyocr ffmpeg-python google-cloud-speech vertexai google-api-python-client

Also requires ffmpeg and ffprobe installed on system.

Usage

Basic Video Analysis

from scripts.video_extractor import VideoExtractor
from scripts.models import ExtractedVideoContent
import vertexai
from vertexai.generative_models import GenerativeModel

# Initialize Vertex AI
vertexai.init(project="your-project-id", location="us-central1")
gemini_model = GenerativeModel("gemini-1.5-flash")

# Create extractor
extractor = VideoExtractor(gemini_model=gemini_model)

# Analyze video
result = extractor.extract_content("/path/to/video.mp4")

print(f"Duration: {result.duration}s")
print(f"Scenes: {len(result.scene_timeline)}")
print(f"Text overlays: {len(result.text_timeline)}")
print(f"Transcript: {result.transcript[:200]}...")

Extract Only Frames

frames, timestamps, text_timeline, scene_timeline, thumbnail = extractor.extract_smart_frames(
    "/path/to/video.mp4",
    scene_interval=2,    # Check for scene changes every 2s
    text_interval=0.5    # Check for text every 0.5s
)

Analyze Images

# Works with images too
result = extractor.extract_content("/path/to/image.jpg")
print(result.scene_timeline[0]['description'])

Output Structure

ExtractedVideoContent(
    video_path="/path/to/video.mp4",
    duration=30.5,
    transcript="Here's what we found...",
    text_timeline=[
        {"at": 0.0, "text": ["Download Now"]},
        {"at": 5.5, "text": ["50% Off Today"]}
    ],
    scene_timeline=[
        {"timestamp": 0.0, "description": "Woman using phone app..."},
        {"timestamp": 2.0, "description": "Product showcase with features..."}
    ],
    thumbnail_url="/static/thumbnails/video_thumb.jpg",
    extraction_complete=True
)

Key Features

Feature Description
Scene Detection Histogram-based change detection (threshold=65)
OCR Confidence Tiered thresholds (0.5 high, 0.3 low)
AI Proofreading Gemini cleans up OCR errors
Source Reconciliation Merges OCR + Vision text intelligently
Native Video Direct Gemini analysis for <20MB files

Prompts

Customize AI behavior by editing prompts in the prompts/ folder:

  • scene_analysis.md - Frame analysis prompts
  • scene_reconciliation.md - Scene enrichment prompts

Common Questions This Answers

  • "What text appears in this video ad?"
  • "Describe each scene in this creative"
  • "What does the narrator say?"
  • "Extract the call-to-action from this ad"
Original URL: https://github.com/openclaw/skills/blob/main/skills/fortytwode/meta-video-ad-analyzer

Related skills

If this matches your use case, these are close alternatives in the same category.