Image Processing Examples - Inspiration & Best Practices

Image processing is an essential part of modern web applications. From automatically generating thumbnails and converting to next-gen formats to AI-powered image recognition — a well-designed image processing pipeline saves bandwidth, improves load times, and enhances user experience. In these examples, we show how organisations effectively implement image processing.

Responsive image pipeline for a news platform

A digital news platform implemented a fully automated image pipeline that generates multiple variants immediately upon upload: thumbnails, medium-size, and full-size versions in both WebP and AVIF formats. A CDN then delivers the optimal variant based on the visitor's device and browser support through content negotiation.

• Automatic generation of multiple formats (WebP, AVIF, JPEG fallback)
• Responsive breakpoint variants for mobile, tablet, and desktop
• Content negotiation via CDN for optimal format delivery
• Lazy processing with queue-based handling for peak loads

AI-powered product photo optimisation for e-commerce

An e-commerce platform uses machine learning to automatically enhance product photos. The pipeline removes backgrounds, corrects lighting, applies colour consistency, and generates 360-degree views. This replaces manual photo editing that previously took 15 minutes per product and drastically reduces time-to-market for new products.

• Automatic background removal with deep learning segmentation model
• Colour calibration for consistent product display across all channels
• Batch processing of thousands of product photos per hour
• Quality assurance score that flags images below threshold

Medical image processing with DICOM compliance

A healthcare platform built an image processing pipeline for medical images that complies with DICOM standards. X-rays and CT scans are converted, anonymised, and optimised for browser display. The pipeline removes personal metadata from DICOM headers and applies lossless compression to preserve diagnostic quality.

• DICOM-compliant processing preserving diagnostic quality
• Automatic anonymisation of patient data in DICOM headers
• Lossless compression for archival and lossy for quick preview
• Windowing and leveling transformations for optimal display

User-generated content moderation with image analysis

A social media platform implemented a real-time image analysis pipeline that scans uploaded images for inappropriate content before publication. The pipeline combines multiple AI models for NSFW detection, facial recognition, and text-in-image analysis. Suspicious images are automatically placed in a moderation queue for human review.

• Multi-model pipeline for NSFW detection, faces, and text-in-image
• Sub-second processing through GPU-accelerated inference
• Configurable thresholds per content category and region
• Feedback loop where moderation decisions improve the model

Document digitisation with OCR pipeline

An insurance company digitised their archive with an image processing pipeline that processes scanned documents. The pipeline performs deskewing, noise reduction, and contrast enhancement before OCR extraction takes place. Extracted text is stored in a structured format with the original scan as reference. Recognition accuracy rose from 87% to 96% thanks to the preprocessing steps.

• Preprocessing pipeline: deskewing, noise reduction, and contrast enhancement
• Multi-engine OCR with consensus voting for higher accuracy
• Structured data extraction with template matching per document type
• Automatic quality score per page with manual review for low scores

Key takeaways

• Process images asynchronously via a queue to avoid impacting user experience.
• Always generate multiple sizes and formats to serve all devices and browsers.
• Use a CDN with content negotiation for optimal image delivery.
• AI-powered image processing can drastically accelerate and standardise manual workflows.
• Monitor processing times and error rates to identify pipeline bottlenecks early.

How MG Software can help

MG Software builds scalable image processing pipelines that automatically optimise, transform, and distribute images. From simple thumbnail generation to complex AI-powered image analysis — we implement the right architecture for your specific image processing needs.