Marp vs PPT Master
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
An entry point to the Marp family of tools for making slide decks from plain Markdown.
Open source · MIT
Turns documents or topics into editable, native PowerPoint decks using an AI agent workflow.
The short answer
Choose Marp if you need…
- People who prefer writing slides as Markdown text rather than in a visual editor
- Developers who want to generate slide decks from code or scripts
- VS Code users who want a live preview of their slides
- Anyone looking for an overview of the Marp ecosystem before choosing a component
Choose PPT Master if you need…
- People who want an editable starting deck from existing documents rather than a filled-in template
- Users who already work in an agent-capable AI tool and want slide generation inside it
- Teams that need decks built on their own PowerPoint template with slide masters and layouts
- Anyone who wants to avoid locking their work into a single AI platform or model
Side-by-side
| Marp | PPT Master | |
|---|---|---|
| Type | Other | AI model / agent |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 12.7k | 72.4k |
| Setup difficulty | Beginner | Intermediate |
| How you get it | See the README | See the README |
| Main language | TypeScript | Python |
| Last code update | 3 months ago | 7 days ago |
What each one is
Marp
Marp is a set of open-source projects for writing presentations in plain Markdown text and converting them into slides. This repository is mainly a hub that links to the family's parts: the Marpit framework, Marp Core, Marp CLI for exporting to HTML, PDF, PPTX or images, and a VS Code extension for previewing decks. The README also links to the project website and an awesome list of Marp resources.
PPT Master
PPT Master is an open-source workflow that works inside AI coding or agent tools. You give it source material such as PDFs, DOCX files, web pages, or just a topic, and it generates a .pptx file with native PowerPoint shapes, charts, and tables that you can keep editing in PowerPoint. The README says it runs on your machine and supports your own .pptx templates.
Best for
Marp
- People who prefer writing slides as Markdown text rather than in a visual editor
- Developers who want to generate slide decks from code or scripts
- VS Code users who want a live preview of their slides
- Anyone looking for an overview of the Marp ecosystem before choosing a component
PPT Master
- People who want an editable starting deck from existing documents rather than a filled-in template
- Users who already work in an agent-capable AI tool and want slide generation inside it
- Teams that need decks built on their own PowerPoint template with slide masters and layouts
- Anyone who wants to avoid locking their work into a single AI platform or model
Strengths
Marp
- Slides are plain Markdown files that work with version control and any text editor
- Multiple export formats are supported through the CLI, according to the README
- Released under the MIT license with an active project and a large community
PPT Master
- Output is native PowerPoint objects, so shapes, charts and text stay editable
- Works with your own .pptx templates and slide masters, according to the README
- Runs locally and is not tied to one model or platform, per the README
Not ideal for
Marp
- Users who need a drag-and-drop slide editor, since this project is text-based (reason: the README describes Markdown writing, not a visual editor)
- People who need the classic Marp app, which the README says is archived (reason: the README points to a gravesite for the old app)
PPT Master
- Users who need polished slides with no editing; the README says examples are single-pass output and PowerPoint editing is expected afterward
- People who do not use an agent-capable AI tool, since the README describes it as a workflow inside one
- Anyone needing guaranteed accuracy of data or claims, since the README does not describe verification of generated content
Trade-offs
Marp
- This repository is a directory of links, so you must install the individual components to actually make slides
- The README does not give installation commands for the components, so setup details must come from their own repos
- Some older parts such as Marp Web, Marp React and Marp Vue are listed as outdated or inactive
PPT Master
- The README is truncated and does not give full setup details, so setup effort is unclear
- Some capabilities are described as evolving with each release, so specific features may change
- Several sponsor links and promotions appear in the README, which readers should weigh separately from the project
Getting started
Marp
Clone this repository
git clone https://github.com/marp-team/marpPPT Master
Clone the repository
git clone https://github.com/hugohe3/ppt-masterFrequently asked questions
What is the difference between Marp and PPT Master?
Marp: An entry point to the Marp family of tools for making slide decks from plain Markdown. PPT Master: Turns documents or topics into editable, native PowerPoint decks using an AI agent workflow. Marp suits people who prefer writing slides as markdown text rather than in a visual editor, while PPT Master suits people who want an editable starting deck from existing documents rather than a filled-in template.
Are Marp and PPT Master free?
Marp: Free and open source. PPT Master: Free and open source.
Which is easier to set up, Marp or PPT Master?
Marp is easier to get started with (rated beginner); PPT Master is rated intermediate and usually needs more setup.
Is Marp or PPT Master more popular?
PPT Master has more GitHub stars (72.4k) than Marp (12.7k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Marp and PPT Master?
Other options people compare them with include reveal.js, Slidev, Frontend Slides, Kami.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.