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ppt-master

ppt-master

Image Generation, Recognition & Editing

ppt-master (hugohe3/ppt-master) is an open-source AI project on GitHub. Repository summary: AI generates a real, editable PowerPoint from any document — native shapes & animations, speaker notes voiced as audio narration, and the option to follow your own .pptx template, not slide images · by Hugo He Its focus includes developer-centric engineering workflows, image and vision workflows, video generation and processing, speech and audio processing. It is suitable for extension, integration, and iterative delivery in real workflows.

License

MIT

Stars

24,192

Features

  • Core capability: AI generates a real, editable PowerPoint from any document — native shapes & animations, speaker notes voiced as audio narration, and the option to follow your own .pptx template, not slide images · by Hugo He
  • Built for code generation, debugging, or engineering integration
  • Supports image generation, editing, or vision understanding
  • Covers video generation, editing, or avatar pipelines
  • Supports speech recognition, synthesis, or audio processing
  • Repository: hugohe3/ppt-master

Use Cases

  • Supports AI engineering build-and-iterate workflows for dev teams
  • Used for visual content production and model experimentation
  • Used for marketing videos, training content, and media production
  • Used for meeting transcription, voice assistants, and audio production
  • Build internal AI workflow prototypes with ppt-master
  • Validate ppt-master in production-like engineering scenarios

FAQ

Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/hugohe3/ppt-master. Community traction is around 24,170 stars. License: MIT.

It usually works as an execution component or capability layer, with common deployment fits such as: Supports AI engineering build-and-iterate workflows for dev teams, Used for visual content production and model experimentation, Used for marketing videos, training content, and media production.

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