Drop in a PDF, DOCX, URL, or Markdown — get back a natively editable PowerPoint with real shapes, real text boxes, and real charts. Not images. Click anything and edit it.
Animations — exported decks support page transitions and per-element entrance animations as real OOXML, not embedded video. By default, elements cascade in automatically on slide entry — no clicking needed. Plays natively in PowerPoint and Keynote, no extra tooling. See Animations & Transitions →.
Narration & Video — generate per-slide voice narration from the speaker notes (90+ locales via edge-tts), embed the audio back into the PPTX, and let PowerPoint export the deck as an MP4 video — synced narration + transitions, no third-party tools. See Audio Narration & Video Export →.
How it works — PPT Master is a workflow (a "skill") that works inside AI IDEs like Claude Code, Cursor, VS Code + Copilot, or Codebuddy. You chat with the AI — "make a deck from this PDF" — and it follows the workflow to produce a real editable on your computer. No coding on your side; the IDE is just where the conversation happens.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
What you'll do: install Python, install an AI IDE, drop in your material.
PPT Master is different:
Real PowerPoint — if a file can't be opened and edited in PowerPoint, it shouldn't be called a PPT. Every element PPT Master outputs is directly clickable and editable
Transparent, predictable cost — the tool is free and open source; the only cost is your AI model usage. As AI tools move to usage-based billing, you pay exactly what you consume — no separate PPT subscription added on top
Data stays local — your files shouldn't have to be uploaded to someone else's server just to make a presentation. Apart from AI model communication, the entire pipeline runs on your machine
No platform lock-in — your workflow shouldn't be held hostage by any single company. Works with Claude Code, Cursor, VS Code Copilot, and more; supports Claude, GPT, Gemini, Kimi, and other models
AI presentation tools roughly fall into four categories. PPT Master only does the last one:
| Category | Output | Editable element-by-element in PowerPoint? |
|---|---|:---:|
| Template fill-in | PPTX built from a fixed template | Partially — limited by the template |
| Image-based | One large image per slide, packed into PPTX | ❌ each slide is a picture |
| HTML presentation | Web-based deck | ❌ not a PPTX |
| Native editable (PPT Master) | Real DrawingML shapes, text boxes, charts | ✅ click any element to edit |
I'm a finance professional (CPA · CPV · Consulting Engineer (Investment)) who regularly reviews and edits presentation decks. I wanted AI-generated slides to remain editable in PowerPoint, not flattened into images — so I built this.
You only need Python. Everything else is installed via pip install -r requirements.txt.
| Dependency | Required? | What it does |
|------------|:---------:|--------------|
| Python 3.10+ | ✅ Yes | Core runtime — the only thing you actually need to install |
TL;DR — Install Python, run pip install -r requirements.txt, and you're ready to generate presentations.
Windows requires a few extra steps (PATH setup, execution policy, etc.). We wrote a step-by-step guide specifically for Windows users:
Two external tools exist as fallbacks for edge cases. Most users will never need them — install only if you hit one of the specific scenarios below.
| Fallback | Install only if… |
|----------|-----------------|
| Node.js 18+ | You need to import WeChat Official Account articles andcurl_cffi (part of requirements.txt) has no prebuilt wheel for your Python + OS + CPU combination. In normal setups web_to_md.py handles WeChat directly through curl_cffi. |
| Pandoc | You need to convert legacy formats: .doc, .odt, .rtf, .tex, .rst, .org, or .typ. .docx, .html, .epub, .ipynb are handled natively by Python — no pandoc required. |
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions.
