Important for many MVPs
Image Processing for MVPs
Resize, optimize, transform, and deliver images efficiently for web and mobile applications.
2-4 days
Typical Timeline
$500 - $2,000
Typical Cost
When to Include
- User-uploaded images (profiles, products)
- Image-heavy content
- Multiple image sizes needed
- Performance is critical
When to Skip
- No images in the product
- Only a few static images
Technology Options
| Technology | Pros | Cons |
|---|---|---|
Cloudinary Full-featured media management |
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Imgix Real-time image processing CDN |
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Sharp High-performance Node.js image processing |
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Next.js Image Built-in Next.js image optimization |
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Implementation Steps
1
Audit image requirements (sizes, formats)2
Choose processing approach3
Set up image upload with processing4
Define responsive image sizes5
Implement lazy loading6
Configure CDN for delivery7
Add format optimization (WebP, AVIF)8
Monitor image performanceCommon Mistakes to Avoid
- Serving original large images
- Not using WebP/AVIF formats
- Missing lazy loading
- No responsive images
- Ignoring Cumulative Layout Shift
- Not compressing enough
Frequently Asked Questions
Process images on upload or on-demand?
On-demand (Cloudinary, Imgix) for flexibility and less storage. Pre-process for predictable sizes and reduced latency. Most MVPs benefit from on-demand.
What image format should I use?
WebP as default (90% browser support), AVIF for cutting-edge, JPEG fallback. Use <picture> element or CDN auto-format detection.
How do I handle user-uploaded images?
Validate file type, limit size, strip metadata, resize to max dimensions, compress, convert to WebP, store with unique names.
Related Features
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