#1313th of 14 in Desktop AI apps
presenton
Generates editable PPTX and PDF slide decks from prompts or documents
Documentation ↗
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- Stars
- 11.2k
- License
- Apache-2.0
- Last commit
- Oct 2026
- Last release
- Sep 2026
- Language
- TypeScript
4,429 on 31 Mar 202611,247 on 20 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Presenton is a self-hosted presentation generator that builds slides from a prompt, an uploaded document, or a PowerPoint-derived template, and exports editable PPTX or PDF. It runs as a Docker web app or an Electron desktop app, exposes a generation API and a built-in MCP server, and connects to OpenAI, Anthropic, Gemini, Ollama, LM Studio, Bedrock and other providers.
Who it is for: Teams wanting a self-hosted alternative to Gamma or Canva for slide decks
Strengths
- Exports fully editable PPTX as well as PDF
- Many text LLM providers, including local Ollama and LM Studio, plus any OpenAI-compatible endpoint
- Includes a generation API, a built-in MCP server and multi-user workspaces with an admin panel
- Custom templates in HTML and Tailwind, or generated from an existing PowerPoint file
Weaknesses
- SSO, SCIM, audit logs and Helm charts are only in the Enterprise edition
- Community template gallery calls a cloud service by default; air-gapped setups must disable it
- README gives no RAM, VRAM or model-size guidance for local models
- README documents only a source build for the desktop app; installers are on the website
What it needs
- GPU optional
- Docker + Compose
- Needs Docker, or Node.js, Python 3.11 and uv for Electron, LLM provider or API key
- Models: OpenAI, Anthropic, Google Gemini, Vertex AI, Azure OpenAI
- port 5001
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| 1 | prompt-optimizerPrompt rewriting and testing tool for web, desktop, Chrome and MCP | 80 out of 100 |
| 2 | cherry-studioCross-platform desktop chat client for many cloud and local LLM providers | 79 out of 100 |
| 3 | deep-live-camReal-time webcam face swap from a single source image | 76 out of 100 |
| #4 | dsh-desktopNative Windows and macOS desktop client for DeepSeek Harness | 73 out of 100 |
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