ppt-master
by hugohe3
PPT Master is a workflow that runs inside an AI coding agent and turns a topic or source documents into an editable PowerPoint file. It produces native shapes, charts, tables, transitions, animations and optional audio narration from speaker notes, and can use your own .pptx templates.
- Stars
- 69.3k
- Licence
- MIT
- Runs on
- Your computer
- Setup
- Moderate
- Language
- Python
- Age
- 321 days
What you can do with it
- Turn a PDF, Word document or web page into a fully editable PowerPoint deck
- Build slides on your company's own .pptx template with native charts and tables
- Add transitions, animations and audio narration generated from speaker notes
Make money with it
A freelancer could offer fast, branded slide-deck creation or report-to-presentation conversion as a paid service.
An idea, not financial advice. Check the licence before charging for anything built on it.
Ways a business could use it
- Produce client proposals, reports and pitch decks from existing documents in minutes instead of hours, cutting design time
- Apply a brand template to turn internal notes or research into consistent presentations without paying for a subscription deck tool
Can you use it commercially?
Free to use, change and sell, including in paid products. Keep the copyright notice.
Not legal advice. Read the project's licence file before building a product on it.
Getting it running
It is a Python-based workflow that you set up and run inside an agent-capable AI tool; the README excerpt shown does not include the exact install steps, so check its Quick Start section.
Follow the official instructions in the project README.
Things to check
- Needs an AI agent tool and model access, which usually means paid API keys or a subscription
- README includes sponsor and affiliate links for API relay services, so treat those with care
- Output quality depends on the model used and may need manual polish
- Exact install steps were not visible in the supplied README excerpt
Who's talking about it
Checked 27 Oct 2026. Summary drafted by AI from the project's README.
