PPTist is a full-featured web-based slide editor and presentation application, built with Vue 3, TypeScript, and Pinia. It replicates core PowerPoint functionality entirely in the browser, supporting text, image, shape, line, chart, table, video, audio, and LaTeX elements. Users can create, edit, animate, and present slides, with import/export support for PPTX, PDF, images, and a custom .pptist format. An AI-assisted slide generation feature allows users to input a topic and receive a complete slide deck via an external API, with template-based layout and image selection. The architecture is a single-page application with a custom canvas rendering system, rich text editing via ProseMirror, and state management through Pinia stores. The editor is divided into three main modes: Editor (full editing with thumbnails, toolbar, and canvas), Screen (presentation with speaker notes, audience view, writing board, and laser pointer), and Mobile (basic editing and preview for touch devices). Data persistence uses IndexedDB via Dexie for undo/redo snapshots, and slide data is stored as JSON in Pinia stores. External dependencies include ECharts for charts, pptxgenjs for PPTX export, and a backend server for AI generation and image search. Key entry points include src/App.vue (top-level routing), src/views/Editor/index.vue (main editor), src/views/Screen/index.vue (presentation mode), and src/views/Mobile/index.vue (mobile mode). Data flows center on the slide store: user actions trigger mutations captured as snapshots for undo/redo, export processes convert internal JSON to target formats, and import parses external files into the internal schema. The AI PPT flow sends a user prompt to the backend, receives an outline and slide data, then fills template slides with content and images. The application is actively maintained with a large community (9386 stars, 1770 forks) and is licensed under AGPL-3.0. It relies on an external backend for AI features and image search, meaning those features are not self-contained. The codebase is well-structured but lacks automated tests, and some components (e.g., HTML parser, shape library) are self-contained and potentially reusable in other projects.
This repository is an installable AI-agent skill that generates PowerPoint decks by producing 16:9 slide images with OpenAI's gpt-image-2 model and packaging them into .pptx files. The actual pipeline is CLI-driven: a natural-language or Markdown slide plan is converted into structured JSON (scripts/md_to_plan.py), combined with a selected style or cloned template profile (scripts/runtime_profile.py, scripts/template_analyzer.py), rendered through a robust API wrapper (scripts/image_generator.py), and assembled into a deliverable PPTX (scripts/generate_ppt.py). It also supports optional 'editable' mode, where generated slides are reconstructed into native PowerPoint objects via python-pptx, plus versioned slide editing, rollback, and deterministic real-image overlay with vision-based QA. This makes it a hybrid application/data repository: the dominant character is a tool, but a large fraction of the repo is a curated corpus of 265+ style specification files that encode design tokens, layout routing rules, and machine-readable JSON layout manifests.