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This project is kept free and open source with the support of PackyCode, APIKEY.FUN, RunAPI, YouYun ZhiSuan and other sponsors.
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Thanks to PackyCode for sponsoring this project! PackyCode is a reliable and efficient API relay service provider, offering relay services for Claude Code, Codex, Gemini, and more. PackyCode provides special discounts for our project users: register using this link and enter the promo code ppt-master during recharge to get 10% off. |
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Thanks to APIKEY.FUN for sponsoring this project! APIKEY.FUN is a professional enterprise-grade AI relay service committed to stable, efficient, and low-cost AI access for businesses and developers. The platform supports mainstream models including Claude, OpenAI, and Gemini, with prices as low as 7% of official rates. Register through our dedicated link for an exclusive perk: up to 5% off on top-ups, permanently. |
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Thanks to RunAPI for sponsoring this project! RunAPI is an efficient and stable API platform — a single API Key gives you access to 150+ leading models, including OpenAI, Claude, Gemini, DeepSeek, and Grok, at prices as low as 10% of official rates, with exceptional stability and seamless compatibility with tools like Claude Code. RunAPI offers an exclusive perk for PPT Master users: register and contact an administrator via our dedicated link to claim ¥7 in free credit. |
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Thanks to YouYun ZhiSuan for sponsoring this project! YouYun ZhiSuan is UCloud's AI cloud platform, providing one-stop API services for mainstream domestic and international models, all accessible with a single key. The platform features cost-effective CodingPlan packages for domestic models (including GLM5.2, Deepseek-v4, and more), along with official channels for stable access to overseas models, meeting diverse development needs. It's compatible with mainstream AI coding tools like Claude Code and Codex, as well as general API calls. The platform supports enterprise-level high concurrency, 24/7 technical support, and self-service invoicing. Register through this link to receive up to ¥10 in free credits. This project has been built into an Agent — PPT Master — ready to use without local deployment. |
[!IMPORTANT]
This is a tool, not a wishing well
Don't expect it to hand you a finished, perfect deck in one shot. Its real value is taking most of the tedious work off your plate; the polishing that's left is yours — a natively editable deck exists precisely so you can keep working on it, not a flat image you can't touch. The cheaper the model, the more there is to do. How good the result turns out comes down to your skill with this project and with PowerPoint.
Live Demo · Examples · FAQ · Roadmap
Editorial Magazine — architecture photography, calm typographic grid
Flip online · Download .pptx
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Data Journalism — Bloomberg-style dark dashboard, chart-driven
Flip online · Download .pptx
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Swiss Grid — strict modular grid, restrained type, red-accent
Flip online · Download .pptx
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Glassmorphism SaaS — translucent layers, gradient depth, product UI
Flip online · Download .pptx
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Memphis Pop — bold primaries, geometric patterns, playful energy
Flip online · Download .pptx
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Risograph Zine — duotone print, hand-made bookstore-culture feel
Flip online · Download .pptx
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Generated with Claude Opus 4.7 + gpt-image-2. Flip through all examples online → · examples/ directory · Why PPT Master?
Drop in your source material and get back a real PowerPoint: directly editable, with native slide transitions and entrance animations, speaker notes you can turn into audio narration, and the option to follow your own PPT template — a complete deck you can present as-is and keep editing. How to use each capability → Getting Started.
⚠️ PPT Master is a harness, not a complete agent.
harness + model = agent— the tool owns the workflow; the model sets the ceiling. To form a genuinely high-quality agent, use Claude with a large context window (~1M tokens) + AI image generation (gpt-image-2). Other models can run the pipeline but cannot reach the same quality ceiling. If results disappoint, upgrade the model — don't blame the harness.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
.pptxon your computer. No coding on your side; the IDE is just where the conversation happens.What you'll do: install Python, install an AI IDE, drop in your material.
Why it's shaped this way — knowing how to use Python and AI agents will matter more and more. This project is meant to show how far you can go with just those two things. There's a learning curve if you're starting cold, but it's the curve worth climbing. Making a deck is just the excuse — what I'm really pushing is Python and agents.
PPT Master is different:
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 |
The examples above were all made in a single pass — I didn't even refine them; spend some time polishing and it's a different story entirely. With the same PowerPoint, a designer can produce something stunning while most people only ever touch a few basic features — the difference isn't the tool, it's the person using it. If you can't get there yet, it's most likely that you haven't learned the workflow — start with Getting Started and the example projects.
The best results do need Claude. Before you call it expensive, think about what it would cost to hire someone to produce a deck at the same level. The project also supports GPT, Gemini, Kimi, and other models — the results simply differ. Expecting top-tier output while paying the lowest possible cost was never reasonable to begin with.
$ claude mcp add ppt-master \
-- python -m otcore.mcp_server <graph>