ad-creative-evaluator

You can evaluate video ads by providing a video file or URL. The system extracts key frames and runs them through an AI expert panel to generate a structured report with scores and actionable recommendations.

The best way is to use a persona-based evaluation approach. The system scores videos across eight dimensions using three distinct personas: Performance Marketer, Creative Director, and Target Consumer, ensuring multi-perspective feedback.

The evaluation requires video input via a file or URL and uses OpenCV and Pillow dependencies for frame extraction. It applies to video ads across various platforms and formats to generate structured feedback.

Frame extraction is handled automatically via a Python script using OpenCV and Pillow. You simply provide the video file or URL, and the system extracts frames to enable visual analysis for the subsequent persona evaluations.

Video ad creatives are scored across eight dimensions by three expert personas. This standardized process produces a structured output template detailing strengths, weaknesses, and specific improvement recommendations for downstream optimization.

Yes, the workflow applies to video ads across platforms and formats. By synthesizing feedback from performance, creative, and consumer perspectives, it outputs a standardized template to guide downstream decision-making and optimization.