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hugohe3/ppt-master

The essentials, the implications, and the sources behind the story.

1,104 stars todayWhy trending

Relative attention score: 67.9/100. Recent activity and cross-channel evidence affect position. This is not a quality rating.

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01 / The short version

What happened

PPT Master is an open-source Python workflow that uses an agent-capable AI to generate natively editable PowerPoint files from documents. The publisher says it produces native shapes, connectors, data-backed charts and tables, slide masters, transitions, animations, and narration rather than flattened text. It runs locally with no PPT subscription, and costs depend on the user's AI model usage. Recommended models include Kimi K3 or Claude with large context windows plus image generation. The project is free and open source under MIT.

See the exact references

02 / Key takeaways

What you need to know

  1. 01

    Generates editable .pptx with native PowerPoint objects, not flat text boxes

  2. 02

    Runs locally; only cost is AI model usage

  3. 03

    Requires Python 3.10+ and an agent-capable AI tool

Keep in perspective

What to watch for

The README is a project page, so performance and model recommendations are publisher claims without independent benchmarking.

Go to the source

Exact references

These are the original pages used for this brief. Publisher claims are not independent evaluations.

01Primary source · github.comOriginal linked resourcehttps://github.com/hugohe3/ppt-master02Reporting · GitHubGitHub daily trending listhttps://github.com/trending/python?since=daily03Documentation · GitHubRepository README used for this summaryhttps://github.com/hugohe3/ppt-master/blob/main/README.md

AI-generated from the linked source. It can miss context; verify consequential details in the original. How the radar works