hugohe3/ppt-master

Description: AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand,...

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Summary Information

Updated 31 minutes ago
Added to GitGenius on April 23rd, 2026
Created on December 10th, 2025
Open Issues & Pull Requests: 3 (+0)
Number of forks: 3,389
Total Stargazers: 40,771 (+1)
Total Subscribers: 86 (+0)

Issue Activity (beta)

Open issues: 3
New in 7 days: 1
Closed in 7 days: 2
Avg open age: 4 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 1
Closed in 7 days: 2
Comments in 7 days: 3
Events in 7 days: 8

Top labels

  • enhancement (36)
  • bug (23)
  • invalid (1)

Repository Insights (GitGenius)

Median issue/PR response: 0.0 hours
Mean response time: 2.0 hours
90th percentile: 8.0 hours
Tracked items: 113

Most active contributors

Detailed Description

PPT Master is a Python-based AI tool that generates native, fully editable PowerPoint presentations from source documents including PDFs, DOCX files, and web pages. Rather than producing static slide images or template-filled decks, it creates real PPTX files with genuine PowerPoint objects that users can modify directly in Microsoft PowerPoint after generation. The tool is designed to run within AI development environments like Claude Code, Cursor, and VS Code with Copilot, positioning itself as a workflow rather than a standalone platform.

The core functionality extends beyond basic slide creation. Generated presentations include native PowerPoint shapes and animations, editable charts and tables with modifiable underlying data, and speaker notes that can be converted to audio narration. Users can optionally provide their own PPTX template for the AI to follow, ensuring brand consistency while maintaining full editability of all generated content. The tool keeps user data local throughout the process, avoiding platform or model lock-in by working within existing AI IDE environments.

According to GitGenius tracking data, the repository has demonstrated steady growth, gaining 2 stars between July 4, 2026 and the most recent check, reaching 36,619 total stargazers. The project maintains exceptionally responsive issue and pull request handling, with a median response latency of 0.0 hours and a mean of 2.0 hours across 109 tracked items. Enhancement requests dominate the issue tracker with 35 labeled items, followed by 22 bug reports, indicating active feature development and community engagement.

The primary contributor, hugohe3, has logged 257 tracked events, with secondary contributors shenqili and WodenJay contributing 16 and 13 events respectively. The repository shares contributors with several other notable projects including anthropics/claude-code, openclaw/openclaw, and zed-industries/zed, suggesting integration with the broader AI development tooling ecosystem.

The project is classified across multiple domains including Markdown, Presentations, PPT, Generator, Converter, Automation, CLI, Themes, and Templates. The README demonstrates the tool's versatility through six example decks spanning different design approaches: an editorial magazine with architectural photography, a data journalism dashboard with Bloomberg-style aesthetics, a Swiss grid system design, a glassmorphism SaaS interface, Memphis pop design with geometric patterns, and a risograph zine aesthetic. All examples were generated in single passes without manual post-processing using Claude Opus 4.7 and image generation capabilities.

The project maintains a live demo at hugohe3.github.io/ppt-master and includes comprehensive documentation covering getting started, FAQ, and roadmap information. A notable recent example is a narrated version of the Attention Is All You Need paper, where every slide reads itself aloud when played in PowerPoint, demonstrating the audio narration capability. The tool is kept free and open source with support from multiple API relay service sponsors including PackyCode, APIKEY.FUN, RunAPI, and YouYun ZhiSuan, which offer discounted access to AI models for project users.

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