HubLensPythonhugohe3/ppt-master
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// summary

PPT Master is an open-source tool that converts various document formats into natively editable PowerPoint files containing real shapes and text boxes. Unlike traditional AI presentation tools that export static images, this project ensures every element remains fully customizable within Microsoft PowerPoint. The system operates locally to maintain data privacy while supporting integration with multiple AI models for flexible and cost-effective content generation.

// technical analysis

PPT Master is designed to bridge the gap between AI-generated content and professional presentation requirements by producing natively editable PowerPoint files rather than static images. Its core philosophy centers on local data privacy and user control, allowing developers to leverage various AI models to generate complex DrawingML elements that remain fully customizable within Microsoft PowerPoint. By prioritizing real shapes and text boxes over web-rendered screenshots, the project solves the common frustration of platform lock-in and the lack of post-generation editability found in many commercial AI slide tools.

// key highlights

01
Generates natively editable PPTX files containing real shapes, text boxes, and charts instead of static images.
02
Ensures data privacy by running the processing pipeline locally on the user's machine, only communicating with AI models for content generation.
03
Avoids platform lock-in by supporting a wide range of AI models including Claude, GPT, Gemini, and Kimi.
04
Offers a transparent and cost-effective model, allowing users to leverage their own AI subscriptions or API keys.
05
Supports diverse input formats including PDF, DOCX, URLs, and Markdown to streamline the creation of professional presentations.
06
Provides high-quality design outputs across multiple styles, such as academic, tech, and product launch formats.

// use cases

01
Convert PDF, DOCX, and Markdown files into fully editable PowerPoint presentations
02
Generate professional slide decks using local data processing for enhanced privacy
03
Automate slide creation with support for multiple AI models and custom design templates

// getting started

To begin, ensure you have Python 3.10+ installed on your system. Clone the repository or download the ZIP file, then run 'pip install -r requirements.txt' to install the necessary dependencies. Once set up, place your source documents in the 'projects/' directory and interact with your chosen AI editor to generate your presentation.