Almost anything: PDF, DOCX, PPTX, EPUB, HTML, LaTeX, RST, URLs (including WeChat articles), Markdown, or just plain text pasted into the conversation. The AI agent converts your source material to Markdown automatically before generating slides.
Yes. Besides the standard 16:9 and 4:3 presentation formats, PPT Master supports social media and marketing formats out of the box:
| Format | Use Case |
|---|---|
| Xiaohongshu (RED) 3:4 | Image-text sharing, knowledge posts |
| WeChat Moments / IG 1:1 | Square posters, brand showcases |
| Story / TikTok 9:16 | Vertical stories, short video covers |
| WeChat Article Header | WeChat article cover images |
| A4 Print | Print posters, flyers |
Just specify the format when starting a project (e.g., --format xhs). The output is still a .pptx file containing native shapes.
PPT Master works with any AI coding agent that can read files and run shell commands — Claude Code (CLI / VS Code / JetBrains / Web), VS Code Copilot, Codex, and others. See the cost comparison below for pricing differences.
Yes. PPT Master includes a built-in image generation script that supports multiple providers (Gemini, OpenAI, FLUX, Qwen, Zhipu, etc.). During the Strategist phase, if you choose "AI generation" for the image approach, the pipeline will automatically generate images based on your content. You can also provide your own images — just place them in the project's images/ folder.
Yes! Both files are saved to exports/ with a timestamp. The native .pptx produces native PowerPoint shapes — all text, graphics, and colors are directly editable without any conversion. The _svg.pptx is an SVG snapshot kept as a visual reference backup. Requires Office 2016 or later.
- Executor_General: General scenarios, flexible layout
- Executor_Consultant: General consulting, data visualization
- Executor_Consultant_Top: Top consulting (MBB level), 5 core techniques
It depends on how you use it. If you're using a direct API or subscription quota, a single presentation may cost around $5 — but compared to spending 1–2 days building a presentation manually, this is a reasonable trade-off.
There are much cheaper options. VS Code Copilot at $10/month gives you 300 standard requests, which converts to roughly 100 premium (Opus-level) requests. By default PPT Master has 2 confirmation rounds (template selection + eight confirmations), but if you specify "no template" upfront, it reduces to just 1 confirmation round — only 2 messages (AI asks, you confirm). That means each presentation costs about 6 Opus requests or 2 Sonnet requests. At the $0.04 USD/request overage rate:
| Model | Requests per PPT | Overage Cost |
|---|---|---|
| Opus | ~6 | ~$0.24 USD |
| Sonnet | ~2 | ~$0.08 USD |
For a complete presentation, $0.08–$0.24 USD is not expensive at all.
Charts are rendered as custom-designed SVG graphics converted to native PowerPoint shapes — not Excel-driven chart objects. This gives them a polished, high-fidelity appearance that often looks better than default PowerPoint charts. However, the underlying data is not editable via PowerPoint's chart editor. If you need a live, data-driven chart (e.g., one you can update by editing a spreadsheet), you will need to manually replace it with a native PowerPoint chart after export.
Claude (Opus / Sonnet) is the recommended and most tested model. SVG layout requires precise absolute-coordinate calculations (font size x character count x container width), and Claude handles this significantly better than alternatives.
GPT series models tend to produce more layout issues — text overflowing containers, misaligned elements, coordinate miscalculations. If you must use a non-Claude model, try enabling Fast mode and keep expectations for layout precision lower.
Other models (Gemini, GLM, MiniMax, etc.) vary in quality. In general, models with stronger frontend/visual capabilities produce better results.
This is almost always a model capability issue, not a bug in PPT Master. SVG layout is essentially manual absolute positioning — the model must calculate coordinates, font metrics, and container sizes correctly.
Fixes to try:
- Switch to Claude (Opus or Sonnet) if you're using another model
- Tell the AI which specific page has the problem and describe the issue — it can regenerate individual pages
- Open the SVG source file directly and ask the AI to fix coordinates
- Remember: the generated PPTX is a high-quality starting point, not a final deliverable — minor adjustments in PowerPoint are expected
A typical 10–15 page presentation takes about 10–20 minutes with a fast model. Generation is intentionally serial (one page at a time) to maintain visual consistency across slides — parallel generation was tested and produced inconsistent styles.
If generation feels slow, check your model's token throughput. The bottleneck is usually the model's output speed, not the scripts.
Yes. You can interrupt the workflow at any time — after the first few pages are generated, review them and give feedback. The AI can regenerate specific pages based on your comments. You don't need to wait until the end to make corrections.
For post-generation fixes, simply tell the AI: "Page 3 has a layout issue — the title overlaps the chart" and it will fix that specific SVG.
Want to turn a PPT you love into a reusable template for PPT Master? Here's how:
Step 1 — Prepare Reference Material
The simplest path is still to prepare screenshots of the key page types from your reference PPT — cover page, table of contents, chapter divider, content page, and closing page. Save them as images in a single folder with clear, descriptive filenames (e.g., cover.png, toc.png, chapter.png, content.png, closing.png).
If you already have the original .pptx template file, you can also provide it as a reference source. PPT Master can extract reusable background images, logos, theme colors, and font metadata from the PPTX first, then use those assets during template reconstruction.
Step 2 — Let AI Create the Template
Use an AI coding agent (Claude Code, Codex, etc.) and ask it to use the PPT Master /create-template workflow to convert your reference material into a template. The more context you give, the better the result — for example:
- Template name and intended use case (e.g., government reports, premium consulting)
- Desired tone and color palette (e.g., "modern and restrained, dark blue primary")
- Category preference (
brand/general/scenario/government/special) - Canvas format, if not the default 16:9
You don't need to supply every detail upfront — the AI agent will ask follow-up questions to fill in anything missing (template ID, theme mode, etc.).
Step 3 — Wait for the Result
The AI agent will handle the rest — analyzing your screenshots, building the layout definitions, and registering the template so it appears as a selectable option in the PPT Master workflow.
Tip: The more specific you are about the style and use case, the better the generated template will match your expectations.