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Future Plugin Ideas

This document outlines planned specialized image processing plugins that will extend MediaProc's capabilities. These plugins will keep the core @mediaproc/image plugin lean while providing domain-specific functionality for specialized use cases.

Philosophy

The core @mediaproc/image plugin provides 49 essential commands covering general image processing needs. To avoid bloat and maintain fast installation/load times, specialized functionality will be separated into focused plugins.

Benefits:

  • Lean Core: Core plugin stays lightweight (~50 commands)
  • Install What You Need: Only install plugins for your specific use case
  • Faster Loads: Smaller bundle sizes, faster startup
  • Specialized Quality: Each plugin optimized for its domain
  • Community Contributions: Easier to contribute focused plugins

Planned Plugins

@mediaproc/image-ecommerce

Purpose: E-commerce product image processing

Target Use Cases:

  • Online stores (Shopify, WooCommerce, Magento)
  • Product photography workflows
  • Marketplace listings (Amazon, eBay, Etsy)

Planned Commands (~15-20 commands):

Background & Composition:

  • remove-background - AI-powered background removal for products
  • white-background - Force pure white background (#FFFFFF)
  • transparent-background - Remove background to transparency
  • studio-background - Add professional studio backdrop
  • center-product - Automatically center product in frame
  • auto-crop-product - Intelligent product boundary detection

Product Grid & Layout:

  • product-grid - Create multi-product grid layouts
  • size-chart - Generate size comparison grids
  • 360-spin - Process 360° product photography sequences
  • ghost-mannequin - Remove mannequin from clothing photos

Quality & Enhancement:

  • product-enhance - Auto-enhance product photos (sharpness, color)
  • color-correct-product - Consistent color across product line
  • shadow-product - Add realistic product shadows
  • reflection-product - Add reflection effect

Marketplace Compliance:

  • amazon-format - Amazon listing image requirements
  • ebay-format - eBay listing standards
  • etsy-format - Etsy shop image specs
  • shopify-format - Shopify theme requirements

Batch Operations:

  • batch-product - Process entire product catalog
  • variant-grid - Create color/size variant grids

@mediaproc/image-social

Purpose: Social media content creation

Target Use Cases:

  • Social media managers
  • Content creators
  • Marketing teams
  • Influencers

Planned Commands (~20-25 commands):

Platform Sizing:

  • instagram-post - 1080x1080 square posts
  • instagram-story - 1080x1920 vertical stories
  • instagram-reel - Reel cover images
  • facebook-post - Facebook post optimizations
  • facebook-cover - Cover photo sizing
  • twitter-post - Twitter/X post images
  • twitter-header - Profile header images
  • linkedin-post - LinkedIn content images
  • linkedin-banner - Profile banner
  • tiktok-cover - TikTok video covers
  • youtube-thumbnail - 1280x720 thumbnails
  • youtube-banner - Channel art

Content Creation:

  • add-text - Text overlays with fonts/styles
  • add-logo - Watermark/logo placement
  • quote-card - Create quote graphics
  • carousel - Multi-image carousel posts
  • collage - Create photo collages
  • meme-generate - Meme template system

Effects & Styling:

  • gradient-overlay - Trendy gradient overlays
  • duotone - Two-color tone effects
  • glitch-effect - Digital glitch aesthetics
  • neon-glow - Neon text/border effects
  • polaroid - Polaroid photo effect
  • film-grain - Analog film aesthetic

Analytics & Optimization:

  • engagement-optimize - Optimize for social engagement
  • story-template - Pre-made story templates

@mediaproc/image-web

Purpose: Web performance and responsive images

Target Use Cases:

  • Web developers
  • Frontend engineers
  • Performance optimization
  • Static site generators

Planned Commands (~15-20 commands):

Responsive Images:

  • responsive-set - Generate responsive image sets (srcset)
  • breakpoint-images - Images for specific breakpoints
  • art-direction - Different crops for different screens
  • retina-images - 1x, 2x, 3x density variants

Web Formats:

  • webp-convert - Optimized WebP generation
  • avif-convert - Next-gen AVIF format
  • fallback-chain - AVIF → WebP → JPEG chain
  • picture-element - Generate tag markup

Icons & Favicons:

  • favicon-set - Complete favicon set (16x16 to 512x512)
  • apple-touch-icon - iOS home screen icons
  • android-icons - Android adaptive icons
  • pwa-icons - Progressive Web App icons
  • social-icons - Social media share icons

Performance:

  • lazy-placeholder - LQIP (Low Quality Image Placeholder)
  • blur-placeholder - BlurHash/ThumbHash generation
  • progressive-jpeg - Progressive JPEG optimization
  • svg-trace - SVG traced placeholders

Optimization:

  • web-optimize - Comprehensive web optimization
  • lighthouse-optimize - Target Lighthouse scores
  • bundle-optimize - Minimize asset bundle size

@mediaproc/image-photography

Purpose: Professional photography post-processing

Target Use Cases:

  • Professional photographers
  • Photography studios
  • Wedding/event photography
  • Portrait photography

Planned Commands (~20-25 commands):

AI Enhancement:

  • super-resolve - AI upscaling (2x, 4x, 8x)
  • denoise - AI noise reduction
  • deblur - Motion blur removal
  • face-enhance - Portrait enhancement
  • eye-enhance - Eye clarity and detail
  • skin-smooth - Portrait skin smoothing
  • teeth-whiten - Dental whitening

Color Grading:

  • color-grade - Professional color grading
  • lut-apply - Apply LUT (Look-Up Table)
  • preset-apply - Photography presets (Lightroom-style)
  • film-emulation - Analog film looks (Kodak, Fuji, etc.)
  • cinematic-grade - Cinematic color grading

Professional Adjustments:

  • shadow-recovery - Recover shadow detail
  • highlight-recovery - Recover blown highlights
  • hdr-merge - Merge exposure brackets
  • focus-stack - Focus stacking for macro
  • panorama-stitch - Multi-image panorama

Portrait Tools:

  • red-eye-remove - Red eye correction
  • blemish-remove - Automatic blemish removal
  • liquify - Portrait reshaping
  • dodge-burn - Selective dodging and burning

Batch & Workflow:

  • batch-grade - Apply grades to entire shoot
  • contact-sheet - Create contact sheets
  • proof-sheet - Client proof sheets
  • metadata-batch - Batch EXIF management

@mediaproc/image-ocr

Purpose: Optical Character Recognition and document processing

Target Use Cases:

  • Document digitization
  • Receipt/invoice processing
  • ID card extraction
  • Form automation

Planned Commands (~10-15 commands):

Text Extraction:

  • ocr-extract - Extract text from images
  • ocr-json - Output as structured JSON
  • ocr-searchable - Create searchable PDFs
  • handwriting-ocr - Handwritten text recognition
  • multi-language - Multi-language OCR

Document Enhancement:

  • scan-enhance - Enhance scanned documents
  • perspective-correct - Fix document perspective
  • deskew - Straighten tilted scans
  • dewarp - Remove page curvature
  • binarize - Convert to black/white for OCR

Specialized Recognition:

  • barcode-scan - Extract barcodes/QR codes
  • table-extract - Extract table data
  • receipt-parse - Parse receipt information
  • id-card-extract - Extract ID card fields

Implementation Priority

Suggested order of implementation based on user demand:

  1. @mediaproc/image-ecommerce (High demand, clear use cases)
  2. @mediaproc/image-social (High demand, content creator market)
  3. @mediaproc/image-web (Developer audience, performance focus)
  4. @mediaproc/image-photography (Professional market, AI features)
  5. @mediaproc/image-ocr (Specialized, lower priority)

Technical Requirements

Dependencies

Each plugin will require specific libraries:

E-commerce:

  • @segment-anything/sam - Background removal
  • sharp - Core image processing

Social:

  • canvas or @napi-rs/canvas - Text rendering
  • sharp - Image manipulation

Web:

  • sharp - Format conversion
  • blurhash / thumbhash - Placeholder generation

Photography:

  • @tensorflow/tfjs - AI models
  • onnxruntime-node - Model inference
  • sharp - Processing

OCR:

  • tesseract.js - OCR engine
  • opencv4nodejs - Document processing

Plugin Architecture

Each plugin follows the same structure:

@mediaproc/image-[domain]/
├── package.json
├── src/
│   ├── index.ts          # Plugin exports
│   ├── cli.ts            # CLI interface
│   ├── register.ts       # Plugin registration
│   ├── types.ts          # TypeScript types
│   ├── commands/         # Individual commands
│   └── utils/            # Shared utilities
├── bin/
│   └── cli.js           # Executable
└── README.md            # Plugin documentation

Contributing

We welcome community contributions! To propose a new plugin or command:

  1. Open an Issue: Describe the plugin/command idea
  2. Discuss Use Cases: Explain real-world scenarios
  3. Technical Proposal: Outline implementation approach
  4. Submit PR: Implement following our plugin architecture

Contribution Guidelines

  • Focus: Each plugin should have a clear, focused purpose
  • Quality: Commands should be production-ready
  • Documentation: Comprehensive docs for each command
  • Tests: Unit tests for all functionality
  • Performance: Optimize for speed and memory
  • Dependencies: Minimize external dependencies

Roadmap

2026 Q1

  • ✅ Core @mediaproc/image plugin (49 commands)
  • ✅ Core @mediaproc/video plugin (6 commands)
  • 🎯 @mediaproc/image-ecommerce (target: 15 commands)

2026 Q2

  • 🎯 @mediaproc/image-social (target: 20 commands)
  • 🎯 @mediaproc/image-web (target: 15 commands)

2026 Q3

  • 🎯 @mediaproc/image-photography (target: 20 commands)

2026 Q4

  • 🎯 @mediaproc/image-ocr (target: 10 commands)

Community Ideas

Have an idea for a plugin? We'd love to hear it!

Submit ideas via:

  • GitHub Discussions
  • GitHub Issues (with plugin-idea label)
  • Discord community
  • Twitter: @mediaproc

Popular community suggestions:

  • @mediaproc/image-design - Design asset generation
  • @mediaproc/image-medical - Medical imaging (DICOM)
  • @mediaproc/image-satellite - Satellite/GIS imagery
  • @mediaproc/image-forensics - Image forensics and analysis
  • @mediaproc/video-editing - Advanced video editing
  • @mediaproc/video-streaming - Streaming optimization

License

All plugins are MIT licensed and open source.

Support