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PPT Master vs Slidev

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.

PPT Master

Open source · MIT

Turns documents or topics into editable, native PowerPoint decks using an AI agent workflow.

Slidev

Open source · MIT

Write presentation slides in Markdown, rendered with Vue and Vite.

The short answer

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

Choose Slidev if you need…

  • Developers who want to present code, technical talks, or architecture diagrams
  • People comfortable editing Markdown and who prefer version-controlled slides
  • Teams that want slides stored alongside project files in a Git repository
  • Anyone who wants to present from a second window or phone using presenter mode

Side-by-side

PPT MasterSlidev
TypeAI model / agentDev tool
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars72.4k49.3k
Setup difficultyIntermediateBeginner
How you get itSee the READMEInstall with a package manager
Main languagePythonTypeScript
Last code update7 days ago14 days ago

What each one is

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.

Slidev

Slidev is an open-source tool for making presentation slides using Markdown files. You write your slides as text, and it renders them in a web browser with code highlighting, math, diagrams, and Vue components. It can export slides to PDF, PNG, or PPTX.

Best for

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

Slidev

  • Developers who want to present code, technical talks, or architecture diagrams
  • People comfortable editing Markdown and who prefer version-controlled slides
  • Teams that want slides stored alongside project files in a Git repository
  • Anyone who wants to present from a second window or phone using presenter mode

Strengths

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

Slidev

  • Slides are plain Markdown files, so they work well with Git and any text editor
  • Built on Vite, so changes reload quickly while editing
  • Themes can be shared as npm packages and it supports a large set of icons

Not ideal for

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

Slidev

  • People who need a visual drag-and-drop slide editor, since Slidev is text-based (the README mentions an integrated editor, but its depth is not described here)
  • Users who cannot install Node.js, since the local setup requires Node.js 22.12.0 or newer
  • Those who only need simple slides and do not want to learn Markdown syntax and Vue features

Trade-offs

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

Slidev

  • Requires a Node.js development environment, which may be a barrier for non-developers
  • Visual design customization relies on CSS utilities and Vue knowledge for advanced changes
  • The README does not detail the export quality or limitations of each export format

Getting started

PPT Master

Clone the repository

git clone https://github.com/hugohe3/ppt-master
Step-by-step guide: how to use PPT Master

Slidev

Create a new Slidev project locally

npm init slidev
Step-by-step guide: how to use Slidev

Frequently asked questions

What is the difference between PPT Master and Slidev?

PPT Master: Turns documents or topics into editable, native PowerPoint decks using an AI agent workflow. Slidev: Write presentation slides in Markdown, rendered with Vue and Vite. PPT Master suits people who want an editable starting deck from existing documents rather than a filled-in template, while Slidev suits developers who want to present code, technical talks, or architecture diagrams.

Are PPT Master and Slidev free?

PPT Master: Free and open source. Slidev: Free and open source.

Which is easier to set up, PPT Master or Slidev?

Slidev is easier to get started with (rated beginner); PPT Master is rated intermediate and usually needs more setup.

Is PPT Master or Slidev more popular?

PPT Master has more GitHub stars (72.4k) than Slidev (49.3k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to PPT Master and Slidev?

Other options people compare them with include Marp, reveal.js, Frontend Slides, Kami, mdx-deck.

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.