Suggestion: Clarify the video generation mechanism in README

需求描述 | Problem Statement

Suggestion: Clarify the video generation mechanism in README

Background

MoneyPrinterTurbo is presented as an “AI short video generation tool” and provides an impressive automated workflow from topic/keywords to a finished video.

However, I think the current README may cause some users to misunderstand how the actual video generation works.

In particular, users familiar with modern AI video generation models such as Seedance, Wan, Kling, or Sora may interpret “AI video generation” as meaning that the system generates new video frames/content from text or images using a generative video model.

From the current project description, however, the core workflow appears to be substantially different:

• AI models are used to generate the video script and search keywords.
• The system searches for / retrieves existing video footage from sources such as Pexels, Pixabay, and Coverr.
• These existing video clips are then selected, arranged, subtitled, combined with TTS and background music, and rendered into the final video.
• In other words, the main visual content is retrieved from existing footage and then edited/composited, rather than being generated pixel-by-pixel by a text-to-video or image-to-video foundation model.

This is a perfectly legitimate and useful approach, but it is technically different from generative video models.

Why this matters

The distinction is important because users may otherwise expect MoneyPrinterTurbo to:

Prompt → AI generates completely new video content

while the actual workflow is closer to:

Prompt → AI generates script/search keywords → retrieve existing footage → automatically edit/composite → final video

These are two different categories of video-generation systems.

For example, Seedance and Wan are generative video models whose primary purpose is to synthesize new video content from text/images. MoneyPrinterTurbo, by contrast, is primarily an AI-assisted automated video creation/editing pipeline based on retrieved video assets.

Suggested README clarification

I suggest adding a prominent note near the beginning of the README, for example:

Important: MoneyPrinterTurbo is not a text-to-video (T2V) or image-to-video (I2V) generative video model such as Seedance or Wan.

MoneyPrinterTurbo is an AI-assisted automated video creation tool. It uses LLMs to generate scripts and search keywords, retrieves existing video footage from sources such as Pexels, Pixabay, and Coverr, and then automatically edits/composites the footage with subtitles, voice-over, and background music to produce the final video.

If you are looking for a model that directly generates new video content from text or images, please use a dedicated video generation model such as Seedance, Wan, Kling, Sora, etc.

I think adding such a clarification would make the project's technical positioning much clearer and help users form the correct expectations before trying it.

This is not a criticism of the implementation itself—the automated retrieval + editing workflow is useful. The suggestion is mainly about making the distinction between AI-assisted video editing/composition and generative video models explicit in the README.

建议的解决方案 | Proposed Solution

Suggestion: Clarify the video generation mechanism in README