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Guides to the parts of image work that are easy to get wrong. 10 posts, last updated 23 October 2026.
Everything here is written by the people who build the tools it refers to, which mostly means we are specific about where each approach stops working. Where a post recommends something, it says why — and where a tool is the wrong answer, it says that too.
Why browser-based image processing is more private than any upload tool
What happens when you upload an image to a free online tool, why in-browser processing offers a different guarantee, and where the boundary sits.
- privacy
- security
- architecture
How to compress images with little visible quality loss: a practical guide
Why images are usually far bigger than they need to be, what the quality slider really controls, and a repeatable order of operations that works.
- compression
- performance
- how-to
Does AI upscaling actually work? What it can and cannot recover
AI upscalers generate plausible detail rather than recovering lost data. Here is where generative synthesis succeeds and where it introduces errors.
- ai
- upscaling
- restoration
DPI, PPI and print size: a practical guide
Why 300 DPI requires physical dimensions to have meaning, what file metadata tags actually do, and how to calculate the pixel dimensions you need for print.
- resolution
- dpi
- how-to
How to redact an image so data cannot be recovered
Why blur, pixelation, and overlaid shapes leak confidential data, how layers betray redactions, and a verified procedure for irreversible sanitization.
- privacy
- redaction
- security
- how-to
How to remove an image background: five methods compared
A comparison of manual selection, chroma key, colour range, AI segmentation, and alpha matting for edge quality, speed, and workflow fit.
- background-removal
- editing
- comparison
Image dimensions for major social platforms in 2026
Recommended pixel dimensions for Instagram, TikTok, YouTube, LinkedIn, X, Facebook, and Pinterest, plus guidelines for aspect ratios and safe zones.
- social-media
- sizing
- reference
Lossy vs lossless compression: technical differences and use cases
How lossless entropy encoding compares with lossy psychovisual quantization, how generational degradation compounds, and criteria for selecting image codecs.
- compression
- formats
- fundamentals
Passport photo requirements by country: dimensions, backgrounds, and rules
Dimensions, head heights, background colours, and compliance rules across 30 national passport authorities, with guidance for home capture.
- passport
- id-photos
- how-to
WebP vs AVIF vs JPEG: format selection in 2026
A technical comparison of JPEG, WebP, and AVIF covering compression efficiency, encoding latency, container overhead, and browser support.
- formats
- compression
- webp
- avif
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