ALLWEONE® AI Presentation Generator

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An open-source, AI-powered presentation generator alternative to Gamma.app that creates beautiful, customizable slides in minutes. This tool is part of the broader ALLWEONE AI platform.

https://github.com/user-attachments/assets/a21dbd49-75b8-4822-bcec-a75b581d9c60

🔗 Quick Links

• Live Demo
• Video Tutorial
• Discord Community
• Contributing Guidelines

📋 Table of Contents

• Features
• Tech Stack
• Getting Started
• Prerequisites
• Installation
• Database Setup
• Usage
• Creating a Presentation
• Custom Themes
• Local Models Guide
• Project Structure
• Roadmap
• Contributing
• License
• Acknowledgements
• Support

🌟 Features

Core Functionality

• AI-Powered Content Generation: Create complete presentations on any topic with AI
• Outline-First Workflow: Generate an outline first, review it, then turn it into slides
• Customizable Slides: Choose the text model, number of slides, language, and whether web search is enabled
• Blank Presentations: Start from scratch when you do not want AI-generated content
• Editable Outlines: Review and modify AI-generated outlines before finalizing
• Real-Time Generation: Watch your presentation build live as content is created
• Auto-Save: Everything saves automatically as you work

Design & Customization

• Multiple Themes: 38 built-in themes are available out of the box
• Custom Theme Creation: Create, save, and reuse your own themes
• PPTX Theme Import: Import theme inspiration directly from PowerPoint files
• Full Editability: Modify text, fonts, and design elements as needed
• Image Generation: Choose different AI image generation models for your slides
• Audience-Focused Styles: Select between professional and casual presentation styles

Presentation Tools

• Presentation Mode: Present directly from the application
• Public Sharing: Generate a shareable public link for presentations
• Presentation Recording: Record presentations with microphone and webcam controls
• PowerPoint Export: Export presentations to .pptx
• Charts, Infographics, and Media Embeds: Add richer visual content beyond plain text slides
• Rich Text Editing: Powered by Plate Editor for comprehensive text and image handling
• Drag and Drop: Intuitive slide reordering and element manipulation

🧰 Tech Stack

Category	Technologies
Framework	Next.js, React, TypeScript
Styling	Tailwind CSS
Database	PostgreSQL with Prisma ORM
AI Integration	OpenAI API, Together AI, Ollama, LM Studio
Authentication	NextAuth.js
UI Components	Radix UI
Text Editor	Plate Editor
File Uploads	UploadThing
Drag & Drop	DND Kit

🚀 Getting Started

Prerequisites

Before you begin, ensure you have the following installed:

• Node.js 18.x or higher
• npm, yarn, or pnpm package manager
• PostgreSQL database
• Google Client ID and Secret (for authentication)
• Optional provider keys depending on the features you want to use:
• OpenAI API key (for cloud text generation)
• Together AI API key (for image generation)
• FAL API key (for additional image generation flows)
• Tavily API key (for web search)
• Unsplash access key (for stock images)

Installation

1. Clone the repository

bash git clone git@github.com:allweonedev/presentation-ai.git cd presentation-ai

1. Install dependencies

bash pnpm install

1. Set up environment variables

Create a .env file in the root directory with the following variables:

```env # Database DATABASE_URL="postgresql://username:password@localhost:5432/presentation_ai"

# Authentication NEXTAUTH_SECRET="" NEXTAUTH_URL="http://localhost:3000"

# Google OAuth Provider GOOGLE_CLIENT_ID="" GOOGLE_CLIENT_SECRET=""

# AI Providers OPENAI_API_KEY="" TOGETHER_AI_API_KEY="" FAL_API_KEY=""

# File Upload Service UPLOADTHING_TOKEN=""

# Optional search and media providers UNSPLASH_ACCESS_KEY="" TAVILY_API_KEY="" ```

💡 Tip: Copy .env.example to .env and fill in your actual values. If you plan to use local text models through Ollama or LM Studio, you can run text generation without an OPENAI_API_KEY.

Database Setup

1. Initialize the database

bash pnpm db:push

1. Start the development server

bash pnpm dev

1. Open the application

Navigate to http://localhost:3000 in your browser.

Available Scripts

pnpm dev       # Start the Next.js dev server
pnpm build     # Build the application
pnpm start     # Start the production server
pnpm db:push   # Push the Prisma schema to the database
pnpm db:studio # Open Prisma Studio
pnpm type      # Run TypeScript type-checking
pnpm check     # Run Biome checks
pnpm lint      # Run Biome linting

💻 Usage

Creating a Presentation

Follow these steps to create your first AI-generated presentation:

1. Sign in to the app
2. Navigate to the presentation dashboard
3. Enter your presentation topic
4. Choose a text model (OpenAI, Ollama, or LM Studio)
5. Choose the number of slides (recommended: 5-10)
6. Select your preferred language
7. Toggle web search if you want outside context included
8. Click "Generate Outline"
9. Review and edit the AI-generated outline
10. Select a theme for your presentation
11. Choose an image source (ai / stock)
12. Select your presentation style (Professional/Casual)
13. Click "Generate Presentation"
14. Wait for the AI to create your slides in real-time
15. Preview, edit, and refine your presentation as needed
16. Present directly from the app or export your presentation

Custom Themes

Create personalized themes to match your brand or style:

1. Click "Create New Theme"
2. Start from scratch or derive from an existing theme
3. Customize colors, fonts, and layout
4. Save your theme for future use

🧠 Local Models Guide

ALLWEONE Presentation AI now supports both Ollama and LM Studio as local model providers.

LM Studio

1. Install LM Studio.
2. In the LM Studio app, turn the Server ON and enable CORS.
3. Download any model you want to use inside LM Studio.

Ollama

1. Install Ollama.
2. Download whichever model you want to use (for example: ollama pull llama3.1).

Using Local Models in the App

1. Open the app and open the text model selector.
2. Choose the model you want to use.
3. For LM Studio, load the model in LM Studio first.
4. For Ollama, installed models appear automatically, and some recommended models can be downloaded on first use.
5. Enjoy the generation.

Notes:

• OpenAI remains available as the default cloud text model.
• Models will automatically appear in the Model Selector when the LM Studio server or the Ollama daemon is running.
• Make sure LM Studio has CORS enabled so the browser can connect.

📁 Project Structure

presentation-ai/
├── prisma/                      # Prisma schema and seed data
├── src/
│   ├── ai/                     # AI agents, tools, and server integrations
│   ├── app/                    # Next.js app router pages, APIs, and server actions
│   ├── components/
│   │   ├── notebook/           # Dashboard, generation flow, theme creation, recording UI
│   │   ├── presentation/       # Presentation editor, present mode, sharing, export
│   │   ├── plate/              # Plate editor plugins and UI
│   │   ├── prose-mirror/       # Outline editor
│   │   └── ui/                 # Shared UI primitives
│   ├── hooks/                  # Custom React hooks
│   ├── lib/                    # Models, themes, export helpers, utilities
│   ├── provider/               # App providers
│   ├── server/                 # Auth, DB, and share authorization helpers
│   ├── states/                 # Zustand state stores
│   ├── styles/                 # Global styles
│   ├── env.js                  # Environment validation
│   └── proxy.ts                # Next.js proxy
├── README.md
├── package.json
├── next.config.js
└── tsconfig.json

🗺️ Roadmap

Feature	Status	Notes
Export to PowerPoint (.pptx)	🟡 Partially Done	Works but the images and other component do not translate one to one
Media embedding	🟡 Partially Done	Functionality is there, but ui/ux need improvement
Additional built-in themes	🟡 In Progress	The app currently ships with 38 built-in themes, and the library is still growing
Mobile responsiveness	🟡 In Progress	Improving layout and interactions for mobile devices
Advanced charts	🟡 Partially Done	AI-generated charts and chart editing are available, with broader coverage still improving
Write e2e tests	🔴 Not Started	Writing test to check the core features, so that we can catch if any changes break anything
Real-time collaboration	🔴 Not Started	Multiple users editing the same presentation simultaneously
Export to PDF	🔴 Not Started	High priority - allow users to download presentations as PDFs
Template library	🔴 Not Started	Pre-built templates for common presentation types (pitch decks, reports, etc.)
Animation and transitions	🔴 Not Started	Add slide transitions and element animations
Presentation recording	🟡 Partially Done	Present mode already supports webcam and microphone recording controls
Cloud storage integration	🔴 Not Started	Connect with Google Drive, Dropbox, OneDrive
Presentation analytics	🔴 Not Started	Track views, engagement, and presentation performance
AI presenter notes	🔴 Not Started	Auto-generate speaker notes for each slide
Custom font uploads	🔴 Not Started	Allow users to upload and use their own fonts
Plugin system	🔴 Not Started	Allow community to build and share extensions
API	🔴 Not Started	Allow developers to use the allweone presentation to generate content in their own applications.

📝 Note: This roadmap is subject to change based on community feedback and priorities. Want to contribute to any of these features? Check out our Contributing Guidelines!

🤝 Contributing

We welcome contributions from the community! Here's how you can help:

How to Contribute

1. Fork the repository
2. Create a feature branch

bash git checkout -b feature/amazing-feature

1. Commit your changes

bash git commit -m 'Add some amazing feature'

1. Push to the branch

bash git push origin feature/amazing-feature

1. Open a Pull Request

Contribution Guidelines

• Follow the existing code style and conventions
• Write clear commit messages
• Be respectful and constructive in discussions

For more details, please read our Contributing Guidelines.

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgements

Special thanks to the following projects and organizations:

• OpenAI for AI generation capabilities
• Plate Editor for rich text editing
• Radix UI for accessible UI components
• Next.js for the React framework
• All our open-source contributors

💬 Support and Sponsors

https://github.com/sponsors/allweonedev

Need help or have questions?

• 💬 [Discord Community](https://discord.