Presenton: The Open-Source AI Presentation Generator for Privacy-Conscious Professionals

Why Local AI Presentation Tools Matter in Today’s Digital Landscape

Have you ever faced these common challenges when creating presentations?

  • Subscription costs piling up for premium tools
  • Sensitive company data stored on third-party servers
  • Limited customization options for specialized needs
  • Time-consuming manual formatting of slides

Presenton solves these problems as an open-source alternative to commercial tools like Gamma, Beautiful AI, and Decktopus. This privacy-first solution keeps all your data securely on your device while delivering professional presentation capabilities.

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Presenton Interface Demo
Real-time presentation generation in action

Core Advantages: Beyond Standard Presentation Tools

Privacy and Security Architecture

  • 🔒 Local Execution: All data processing occurs directly on your hardware
  • 🛡️ Zero Data Collection: No user tracking or analytics
  • 🗝️ API Key Ownership: You control all third-party service credentials

Feature Comparison

Capability Presenton Cloud-Based Alternatives
Data Location Your Device Vendor Servers
Privacy Control Full Ownership Limited
Cost Structure Pay-per-API-use Subscription Fees
Template Customization HTML/Tailwind Support Predefined Templates
AI Model Options Multiple Providers Single Vendor

5-Minute Setup Guide

Basic Deployment (Docker Method)

# Linux/MacOS
docker run -it --name presenton -p 5000:80 -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest

# Windows PowerShell
docker run -it --name presenton -p 5000:80 -v "${PWD}\app_data:/app_data" ghcr.io/presenton/presenton:latest

Access via: http://localhost:5000

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Port Customization Tip: Replace 5000 with your preferred port number

Advanced Configuration (Environment Variables)

# OpenAI Configuration Example
docker run -it -p 5000:80 \
  -e LLM="openai" \
  -e OPENAI_API_KEY="your_key_here" \
  -e IMAGE_PROVIDER="dall-e-3" \
  -e CAN_CHANGE_KEYS="false" \
  -v "./app_data:/app_data" \
  ghcr.io/presenton/presenton:latest

Key Configuration Parameters

Variable Options Purpose
LLM openai/google/ollama/custom Selects AI model provider
IMAGE_PROVIDER pexels/pixabay/gemini_flash/dall-e-3 Chooses image generation engine
CAN_CHANGE_KEYS true/false Toggles UI key modification

Technical Deep Dive

1. Multi-Model Architecture

Theme Selection Interface
  • OpenAI Integration: Commercial GPT models
  • Gemini Access: Google’s latest AI technology
  • Ollama Local Processing: Open-source model execution
  • Custom Endpoints: OpenAI-compatible APIs
# Ollama Local Model with GPU Acceleration
docker run -it --name presenton --gpus=all -p 5000:80 \
  -e LLM="ollama" \
  -e OLLAMA_MODEL="llama3.2:3b" \
  -e IMAGE_PROVIDER="pexels" \
  -e PEXELS_API_KEY="your_key_here" \
  -v "./app_data:/app_data" \
  ghcr.io/presenton/presenton:latest

2. User Workflow

  1. Input Specifications: Define topic/slide count/language
    Prompt Interface
  2. Outline Editing: AI-generated content framework
    Outline Review
  3. Theme Application: Choose from templates
  4. Live Presentation: Browser-based delivery
    Presentation Mode
  5. Export Options: PPTX or PDF formats
    Export Interface

3. Enterprise API Integration

curl -X POST http://localhost:5000/api/v1/ppt/presentation/generate \
  -F "prompt=Introduction to Quantum Computing" \
  -F "n_slides=10" \
  -F "language=English" \
  -F "layout=technical" \
  -F "export_as=pptx"

API Parameters Explained

Parameter Type Required Description
prompt string Yes Presentation topic
n_slides integer No Slide count (5-15)
language string No Output language
layout string No Template theme
documents file[] No PDF/PPTX/DOCX attachments
export_as string No pptx/pdf format

Typical Response Structure

{
  "presentation_id": "d3000f96-096c-4768-b67b-e99aed029b57",
  "path": "/static/user_data/.../Quantum_Computing.pptx",
  "edit_path": "/presentation?id=d3000f96-...",
}

Real-World Implementation Scenarios

Academic Use Case

Biology Professor Dr. Smith:

  • Creates 3-4 lecture decks weekly
  • Integrates lab images and research PDFs
  • Uses Ollama for sensitive data processing
  • Distributes PDFs to students
# Generate Lecture from CSV Data
curl -X POST http://localhost:5000/api/v1/ppt/generate \
  -F "prompt=Cell Structure Analysis" \
  -F "documents=@lab_results.csv" \
  -F "layout=science_theme"

Corporate Reporting Solution

Marketing Director Jane Wilson:

  1. Connects to internal CRM databases
  2. Automates quarterly sales reports
  3. Applies brand-compliant templates
  4. Exports editable PPTX for team collaboration

Development Roadmap

  • [x] Custom HTML Templates (v1.0)
  • [x] API Template Access (v1.2)
  • [ ] MCP Server Implementation (Q4 2024)
  • [ ] Custom System Prompts (In Development)
  • [x] External SQL Support (v1.5)

Frequently Asked Questions

Q: Does it work offline?

A: Absolutely! Using Ollama’s local models, you can generate presentations without internet connectivity.

Q: What file types can I import?

A: Currently supports PDF, TXT, PPTX, and DOCX formats, with plans to expand to spreadsheets and images.

Q: How is enterprise data protected?

A: Three-layer security approach:

  1. Local data processing
  2. Private deployment options
  3. Encrypted communications

Q: Do I need coding skills for custom templates?

A: Basic adjustments require no coding. Advanced customization uses HTML/CSS with comprehensive template documentation.

Q: What’s the maximum slide count?

A: Current version optimally generates 5-15 slides based on testing.

Start Your Privacy-First Presentation Journey

Whether for academic research, business reporting, or creative projects, Presenton delivers:

  • Fully open-source solution
  • Apache 2.0 commercial license
  • Continuous feature enhancements
  • Active developer community

Support Resources: