LandPPT is a large language model-based presentation generation platform that can automatically convert topics or document content into editable professional PPTs. The platform integrates outlining, layout design, image matching, script writing, and export into a single AI workflow, supports input from multiple document types such as PDF, Word, Markdown, Excel, and PPT, and can optionally use deep research to supplement the latest information. It supports models such as OpenAI GPT, Anthropic Claude, Google Gemini, and Azure OpenAI, and is also compatible with OpenAI protocol interfaces such as DeepSeek, Moonshot, and Qwen, as well as local Ollama models, allowing models to be routed by role to control costs. The generation process produces HTML slides in parallel, supports templates and AI adaptive layouts, and provides polishing methods such as sidebar AI chat editing, image replacement, and visual references. In the delivery stage, it can export PDF, HTML, standard PPTX, image-based PPTX, scripts, and more, or generate a public sharing link containing narrated audio and subtitles. The platform provides global master templates and scenario templates, supports uploading reference PPTX files to extract layouts, template package management, and project-level AI adaptive templates. Deployment is flexible: locally, it defaults to SQLite plus in-memory cache, and can be tried with a single command; for production environments, docker compose is recommended to orchestrate Web, Worker, PostgreSQL, Valkey, MinIO, and the PPTX renderer. The project uses the Apache License 2.0.
