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Open-Source AI Presentation Generator and API (Gamma, Beautiful AI, Decktopus Alternative)

✨ Why Presenton

No SaaS lock-in · No forced subscriptions · Full control over models and data

What makes Presenton different?

Fully self-hosted; Web (Docker) & Desktop (Mac, Windows & Linux)
Works with OpenAI, Gemini, Anthropic, Ollama, or custom models
API deployable
Fully open-source (Apache 2.0)
Use your existing PPTX files as templates (coming soon)

🎛 Features

💻 Presenton Desktop

Create AI-powered presentations using your own model provider (BYOK) or run everything locally on your own machine for full control and data privacy.

Available Platforms

<table> <tr> <th align="left">Platform</th> <th align="left">Architecture</th> <th align="left">Package</th> <th align="left">Download</th> </tr> <tr> <td>macOS</td> <td>Apple Silicon / Intel</td> <td><code>.dmg</code></td> <td><a href="https://presenton.ai/download">Download ↗</a></td> </tr> <tr> <td>Windows</td> <td>x64</td> <td><code>.exe</code></td> <td><a href="https://presenton.ai/download">Download ↗</a></td> </tr> <tr> <td>Linux</td> <td>x64</td> <td> <code>.deb</code></td> <td><a href="https://presenton.ai/download">Download ↗</a></td> </tr> </table>

Presenton gives you complete control over your AI presentation workflow. Choose your models, customize your experience, and keep your data private.

Custom Templates & Themes — Create unlimited presentation designs with HTML and Tailwind CSS
AI Template Generation — Create presentation templates from existing Powerpoint documents.
Flexible Generation — Build presentations from prompts or uploaded documents
Export Ready — Save as PowerPoint (PPTX) and PDF with professional formatting
Built-In MCP Server — Generate presentations over Model Context Protocol
Bring Your Own Key — Use your own API keys for OpenAI, Google Gemini, Anthropic Claude, or any compatible provider. Only pay for what you use, no hidden fees or subscriptions.
Ollama Integration — Run open-source models locally with full privacy
OpenAI API Compatible — Connect to any OpenAI-compatible endpoint with your own models
Multi-Provider Support — Mix and match text and image generation providers
Versatile Image Generation — Choose from DALL-E 3, Gemini Flash, Pexels, or Pixabay
Rich Media Support — Icons, charts, and custom graphics for professional presentations
Runs Locally — All processing happens on your device, no cloud dependencies
API Deployment — Host as your own API service for your team
Fully Open-Source — Apache 2.0 licensed, inspect, modify, and contribute
Docker Ready — One-command deployment with GPU support for local models
Electron Desktop App — Run Presenton as a native desktop application on Windows, macOS, and Linux (no browser required)
Sign in with ChatGPT — Use your free or paid ChatGPT account to sign in and start creating presentations instantly — no separate API key required

☁️ Presenton Cloud

Run Presenton directly in your browser — no installation, no setup required. Start creating presentations instantly from anywhere.

⚡ Running Presenton

You can run Presenton in two ways: Docker for a one-command setup without installing a local dev stack, or the Electron desktop app for a native app experience (ideal for development or offline use).

Option 1: Electron (Desktop App)

Run Presenton as a native desktop application. LLM and image provider (API keys, etc.) can be configured in the app. The same environment variables used for Docker apply when running the bundled backend. Prerequisites: Node.js (LTS), npm, Python 3.11, and <a href="https://docs.astral.sh/uv/">uv</a> (for the Electron FastAPI backend in <code>electron/servers/fastapi</code>).

Setup (First Time)
<pre><code class="language-bash">cd electron npm run setup:env</code></pre>
This installs Node dependencies, runs <code>uv sync</code> in the FastAPI server, and installs Next.js dependencies.
Run in Development
<pre><code class="language-bash">npm run dev</code></pre> This compiles TypeScript and starts Electron. The backend and UI run locally inside the desktop window.
Build Distributable (Optional) To create installers for Windows, macOS, or Linux:
<pre><code class="language-bash">npm run build:all npm run dist</code></pre> Output files are written to <code>electron/dist</code> (or as configured in your <code>electron-builder</code> settings).

Option 2: Docker

Start Presenton Linux/MacOS (Bash/Zsh Shell):
<pre><code class="language-bash">docker run -it --name presenton -p 5000:80 -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest</code></pre>
Windows (PowerShell):
<pre><code class="language-bash">docker run -it --name presenton -p 5000:80 -v "${PWD}\app_data:/app_data" ghcr.io/presenton/presenton:latest</code></pre>
Open Presenton
 Open <a href="http://localhost:5000">http://localhost:5000</a> in the browser of your choice to use Presenton. <blockquote> Note: You can replace <code>5000</code> with any other port number of your choice to run Presenton on a different port number. </blockquote>

⚙️ Deployment Configurations

These settings apply to both Docker and the Electron app's backend. You may want to directly provide your API KEYS as environment variables and keep them hidden. You can set these environment variables to achieve it.

CAN_CHANGE_KEYS=[true/false]: Set this to false if you want to keep API Keys hidden and make them unmodifiable.
LLM=[openai/google/anthropic/ollama/custom]: Select LLM of your choice.
OPENAI_API_KEY=[Your OpenAI API Key]: Provide this if LLM is set to openai
OPENAI_MODEL=[OpenAI Model ID]: Provide this if LLM is set to openai (default: "gpt-4.1")
GOOGLE_API_KEY=[Your Google API Key]: Provide this if LLM is set to google
GOOGLE_MODEL=[Google Model ID]: Provide this if LLM is set to google (default: "models/gemini-2.0-flash")
ANTHROPIC_API_KEY=[Your Anthropic API Key]: Provide this if LLM is set to anthropic
ANTHROPIC_MODEL=[Anthropic Model ID]: Provide this if LLM is set to anthropic (default: "claude-3-5-sonnet-20241022")
OLLAMA_URL=[Custom Ollama URL]: Provide this if you want to custom Ollama URL and LLM is set to ollama
OLLAMA_MODEL=[Ollama Model ID]: Provide this if LLM is set to ollama
CUSTOM_LLM_URL=[Custom OpenAI Compatible URL]: Provide this if LLM is set to custom
CUSTOM_LLM_API_KEY=[Custom OpenAI Compatible API KEY]: Provide this if LLM is set to custom
CUSTOM_MODEL=[Custom Model ID]: Provide this if LLM is set to custom
TOOL_CALLS=[Enable/Disable Tool Calls on Custom LLM]: If true, LLM will use Tool Call instead of Json Schema for Structured Output.
DISABLE_THINKING=[Enable/Disable Thinking on Custom LLM]: If true, Thinking will be disabled.
WEB_GROUNDING=[Enable/Disable Web Search for OpenAI, Google And Anthropic]: If true, LLM will be able to search web for better results.

You can also set the following environment variables to customize the image generation provider and API keys:

DISABLE_IMAGE_GENERATION: If true, Image Generation will be disabled for slides.
IMAGE_PROVIDER=[dall-e-3/gpt-image-1.5/gemini_flash/nanobanana_pro/pexels/pixabay/comfyui]: Select the image provider of your choice.
- Required if DISABLE_IMAGE_GENERATION is not set to true.
OPENAI_API_KEY=[Your OpenAI API Key]: Required if using dall-e-3 or gpt-image-1.5 as the image provider.
DALL_E_3_QUALITY=[standard/hd]: Optional quality setting for dall-e-3 (default: standard).
GPT_IMAGE_1_5_QUALITY=[low/medium/high]: Optional quality setting for gpt-image-1.5 (default: medium).
GOOGLE_API_KEY=[Your Google API Key]: Required if using gemini_flash or nanobanana_pro as the image provider.
PEXELS_API_KEY=[Your Pexels API Key]: Required if using pexels as the image provider.
PIXABAY_API_KEY=[Your Pixabay API Key]: Required if using pixabay as the image provider.
COMFYUI_URL=[Your ComfyUI server URL] and COMFYUI_WORKFLOW=[Workflow JSON]: Required if using comfyui to route prompts to a self-hosted ComfyUI workflow.

You can disable anonymous

Presenton

Install / Use

README