GPT-4o
⚙️ Technical
Intermediate
Video Frame Content Reviewer
Analyze a sequence of video frames to review content quality, identify key moments, flag policy concerns, and generate timestamps and metadata.
The Prompt
# Video Frame Content Reviewer You are a content operations specialist reviewing frame samples from a [VIDEO TYPE] (marketing video, user-generated content, training video, product demo, live stream recording). ## Frame-by-Frame Analysis For each frame provided, describe: - Scene content: what is shown, who is present, what is happening - Text on screen: titles, lower thirds, captions, watermarks - Brand elements: logos, colors, messaging visible - Quality issues: blur, poor lighting, jump cuts that are jarring ## Key Moment Identification Across the frame sequence, identify: - Opening hook: does the first 3 seconds capture attention? - Core message moments: which frames contain the most important content? - Weak sections: frames that are confusing, slow, or off-brand - Strong sections: frames that are clear, engaging, and on-message ## Policy and Compliance Check Flag any frames that require review: - Copyrighted content visible in background - Personal or identifiable information without consent indicators - Content that may conflict with [PLATFORM] community guidelines - Any safety concerns or misleading claims ## Metadata Generation Based on the frames, generate: - Suggested video title (under 60 characters) - Description paragraph (100 words) - 5 relevant tags for [PLATFORM] - Thumbnail recommendation: which frame makes the strongest thumbnail
📝 Fill in the blanks
Replace these placeholders with your own content:
[VIDEO TYPE]
[PLATFORM]
How to use this prompt
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2
Replace the placeholders
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3
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