PowerPoint to Markdown Converter Implementation Plan
Generated: 2025-01-25 19:30 UTC
Status: Ready for Implementation - Phase 1 Complete
Verified:
Current Progress Status
Completed
- Implementation Plan - Comprehensive plan documented
- Research Phase - PowerPoint parsing approaches evaluated
- Architecture Design - File structure and patterns defined
Next Steps (Ready to Implement)
- Add Dependencies - Install PowerPoint parsing library
- Create Converter Module -
lib/converters/powerpoint.js
- Create Route Handler -
src/pptxConverterToMD.js
- Add API Endpoint - Update
index.js
- Local Testing - Create test file and verify functionality
Implementation Checklist
- Install npm dependencies (pptxgenjs or alternative)
- Create PowerPoint converter module
- Create route handler following existing patterns
- Update unified API with new endpoint
- Create test PowerPoint file
- Test locally with curl/test scripts
- Add unit tests
- Update API documentation
- Deploy to production
Overview
This document outlines the implementation plan for adding PowerPoint (.pptx) to Markdown conversion capability to the Convert to Markdown service. The converter will follow existing patterns established by Excel, Word, and PDF converters while addressing PowerPoint-specific challenges such as slide structure and embedded images.
Purpose
Enable users to convert PowerPoint presentations into Markdown format optimized for AI/LLM processing, maintaining slide structure, extracting text content, and handling embedded media appropriately.
Key Requirements
- Format Support: Initially .pptx only (XML-based format)
- Content Extraction: Slide titles, text, tables, speaker notes
- Image Handling: Hybrid approach with size-based decisions
- API Consistency: Follow existing converter patterns
- Local Testing: Verify functionality before production deployment
Technical Specifications
Input Format
- File Type: .pptx (Office Open XML Presentation)
- MIME Types:
application/vnd.openxmlformats-officedocument.presentationml.presentation
application/pptx
- Size Limit: 5MB (configurable, may increase to 50MB for Pro users)
Output Format
Markdown Structure
---
title: Presentation Title
date: 2025-01-25
type: markdown
source: pptx
slideCount: 15
totalImages: 8
hasSpeakerNotes: true
---
## Slide 1: Introduction
Main content from slide...
[Image: Company Logo - centered, 200x100px]
> **Speaker Notes:** These are the speaker notes for this slide explaining key points...
---
## Slide 2: Key Metrics
### Revenue Growth
| Year | Revenue | Growth |
|------|---------|--------|
| 2023 | $1.2M | 25% |
| 2024 | $1.5M | 30% |
---
Image Handling Strategy
Small Images (<50KB)
- Convert to base64 data URI
- Embed directly in markdown:

- Resize to max 800px width maintaining aspect ratio
Large Images (≥50KB)
- Generate descriptive placeholder:
[Image: Description - dimensions]
- Include image metadata (title, alt text if available)
- Track in statistics for user awareness
- Generate descriptive placeholder:
Charts and Diagrams
- Extract data tables where possible
- Provide descriptive text for complex visuals
- Note chart type in placeholder
Content Extraction Rules
Text Content
- Slide Titles: Convert to H2 headers (
## Slide N: Title
) - Text Boxes: Preserve order, merge into paragraphs
- Bullet Points: Convert to markdown lists
- Numbered Lists: Maintain numbering
- Text Formatting: Preserve bold, italic, underline
Tables
- Extract table data maintaining structure
- Convert to markdown table format
- Handle merged cells with notation
Speaker Notes
- Extract if present
- Format as blockquote with label
- Place after slide content
Metadata
{
title: "Extracted from presentation",
slideCount: 25,
totalImages: 12,
hasSpeakerNotes: true,
hasAnimations: false,
presentationSize: "1920x1080",
theme: "Office Theme",
author: "If available",
lastModified: "2025-01-25"
}
Implementation Details
File Structure
unified-api/
├── lib/
│ └── converters/
│ └── powerpoint.js # Core converter logic
├── src/
│ └── pptxConverterToMD.js # Route handler
├── test/
│ └── powerpoint.test.js # Unit tests
└── index.js # Add new route
Dependencies to Add
{
"dependencies": {
"pptxgenjs": "^3.12.0", // OR alternative approach
"sharp": "^0.33.0" // For image processing
}
}
Alternative Libraries to Consider:
node-pptx-parser
: Dedicated parser, lightweightofficegen
: General office file handler- Custom XML parsing with
unzipper
+xml2js
Code Architecture
1. Converter Module (lib/converters/powerpoint.js
)
/**
* PowerPoint converter functions
* Handles conversion of PowerPoint files to Markdown format
*/
const PptxGenJS = require('pptxgenjs');
const sharp = require('sharp');
const {
cleanTextForMarkdown,
createMetadataHeader,
calculateStats,
dataToMarkdownTable
} = require('../utils/common');
/**
* Converts PowerPoint buffer to Markdown format
* @param {Buffer} buffer - PowerPoint file buffer
* @param {Object} options - Conversion options
* @returns {Promise<Object>} Conversion result
*/
async function convertPowerPointToMarkdown(buffer, options = {}) {
// Implementation details...
}
module.exports = {
convertPowerPointToMarkdown
};
2. Route Handler (src/pptxConverterToMD.js
)
Follow existing pattern from docxConverterToMD.js
:
- Use Busboy for multipart form parsing
- Validate MIME type
- Enforce file size limits
- Handle errors consistently
3. API Route Addition
Add to unified-api/index.js
:
// Import handler
const { pptxToMarkdown } = require('./src/pptxConverterToMD');
// Add to API info
endpoints: [
// ... existing endpoints
{
method: 'POST',
path: '/v1/convert/ppt-to-markdown',
description: 'Convert PowerPoint presentations to Markdown',
accepts: '.pptx'
}
]
// Add route
app.post('/v1/convert/ppt-to-markdown',
handleFileUpload('file'),
authenticate,
trackUsage,
pptxToMarkdownHandler
);
Error Handling
File Validation Errors
- Invalid format: "Only .pptx files are supported"
- Corrupted file: "Unable to parse PowerPoint file"
- File too large: "File size exceeds limit"
Content Errors
- Empty presentation: Return minimal markdown
- Missing content: Continue with available data
- Image processing failures: Use placeholders
Token Limit Protection
- Monitor output size during generation
- Truncate if approaching 50,000 character limit
- Add truncation notice to output
Testing Strategy
Local Testing Setup
Create Test File
- Save as
test-documents/sample-presentation.pptx
- Include: Multiple slides, images, tables, speaker notes
- Test edge cases: Empty slides, large images
- Save as
Update Test Script
// In test-local.js, add: const testFiles = { // ... existing tests 'ppt-to-markdown': '../test-documents/sample-presentation.pptx' };
Testing Commands
# Start local server cd unified-api npm start # Run converter test curl -X POST http://localhost:8080/v1/convert/ppt-to-markdown \ -F "file=@../test-documents/sample-presentation.pptx" # Test with authentication curl -X POST http://localhost:8080/v1/convert/ppt-to-markdown \ -H "X-API-Key: test-key-123" \ -F "file=@../test-documents/sample-presentation.pptx"
Expected Output Validation
Structure Verification
- Metadata header present
- Slide count matches
- Slide separators (---) between slides
Content Accuracy
- Text extracted correctly
- Tables formatted properly
- Speaker notes included
Performance Metrics
- Processing time < 5 seconds for typical files
- Memory usage reasonable
- Token count within limits
Unit Tests
Create test/powerpoint.test.js
:
- Test successful conversion
- Test error cases
- Test image handling
- Test metadata extraction
Deployment Plan
Pre-deployment Checklist
- Local testing passes all cases
- Unit tests implemented and passing
- API documentation updated
- Package.json dependencies added
- Error messages user-friendly
- Performance acceptable
Deployment Steps
Commit Changes
git add . git commit -m "Add PowerPoint to Markdown converter"
Deploy to Production
cd unified-api ./deploy.sh
Post-deployment Verification
# Test production endpoint curl -X POST https://convert-to-markdown.knowcode.tech/v1/convert/ppt-to-markdown \ -H "X-API-Key: production-key" \ -F "file=@test.pptx"
Documentation Updates
API Documentation (
docs/api.md
)- Add PowerPoint endpoint
- Include example requests/responses
- Document limitations
Pricing Page (
docs/pricing.md
)- Add PowerPoint to supported formats
- Update feature comparison table
README Updates
- Main README.md
- unified-api/README.md
Future Enhancements
Phase 2 Features
Additional Format Support
- .ppt (legacy binary format)
- .ppsx (slideshow format)
- .potx (template format)
Advanced Content Extraction
- Chart data extraction
- SmartArt text extraction
- Animation descriptions
- Embedded video/audio references
Alternative Output Formats
/v1/convert/ppt-to-json
for structured data- Slide-specific conversion options
- Custom formatting templates
Performance Optimizations
Streaming Processing
- Process slides incrementally
- Reduce memory footprint
- Enable larger file support
Caching Layer
- Cache processed images
- Store conversion results temporarily
Parallel Processing
- Process slides concurrently
- Optimize for multi-core systems
Risk Mitigation
Technical Risks
Library Compatibility
- Test multiple libraries before final selection
- Have fallback parsing approach
- Monitor for security updates
Memory Usage
- Set strict limits
- Implement streaming where possible
- Monitor production memory metrics
Security Concerns
- Validate all file inputs
- Sanitize extracted content
- Prevent XML bomb attacks
Business Risks
User Expectations
- Clear documentation on limitations
- Transparent about image handling
- Set appropriate file size limits
Cost Management
- Monitor processing time
- Track resource usage
- Optimize expensive operations
Success Metrics
Technical Metrics
- Conversion success rate > 95%
- Average processing time < 3 seconds
- Memory usage < 512MB per conversion
User Metrics
- Adoption rate among existing users
- Error rate < 5%
- User feedback positive
Business Metrics
- Increase in Pro subscriptions
- API usage growth
- Support ticket volume manageable
Conclusion
This implementation plan provides a comprehensive approach to adding PowerPoint conversion capabilities to the Convert to Markdown service. By following existing patterns and focusing on local testing first, we can ensure a smooth rollout of this frequently requested feature.