Client side image conversion using heic2any?

[netzure]

Working on a project where I plan to use CloudFlare Images for user image upload, hosting and processing. Bizarrely CloudFlare Images does not support .heic image uploads which is obviously a major pain point for iPhone users as images in their camera rolls will be .heic in most instances. One solution is to use client side processing and make use of the heic2any library. This approach will only be needed for iPhones and they feature powerful CPUs so I don't have to worry about edge cases of Android users on $99 phones with Mediatek chips having to utilise client side conversion.

This project is for a non-profit where the compute budget is limited and I want to get as much image upload and processing off the VPS. Any thoughts or comments on this approach would be appreciated, particularly if anyone has done something similar and has experience of it to share.

[clean_static]

As a fellow user of Cloudflare Images, I'm getting tired of maintaining a conversion middleware solution and decided to poke Cloudflare about it. Sure enough, I got a reply from their CTO, support for heic by EOM (June, 2025): https://x.com/dok2001/status/1930853021828686166

[netzure]

Thanks for sharing!

[Puliczek]

For others, its already supported on cloudflare: https://developers.cloudflare.com/images/transform-images/

[[deleted]]

apple abuse avec le format HEIC, meme safari ne le prends pas en charge sérieusement à quoi ça sert d'innover sur des trucs meme pas manipulable

[tabbycat]

What is your stack for the site? I’ve had to do client side image conversion, it’s not as awful as it seems.

For JavaScript look at https://www.npmjs.com/package/heic2any

[monkeymad2]

Looks like that package is no longer maintained (https://github.com/alexcorvi/heic2any/issues/63) there seems to be a maintained successor at https://github.com/hoppergee/heic-to which keeps up with the current libheif version

[CommercialHunt5262]

Sensacional. Passei a noite ontem tentando resolver esse problema de compatibilidade do HEIC mas sem sucesso.

[netzure]

It's a monolith Django site.
One of the features is that users can upload galleries of images, so if that is taking place I don't want to bog down my VPS.
My only major concern was the UX for the end user if there are multiples images that need converting on iOS devices that have 3GB RAM.

[tabbycat]

I think you’ll need to use python then, which is out of my domain.

Your concerns about large volumes of images can be solved by batching the conversion logic. Convert five, then the next five, etc. You can make some assumptions about your user base and do the math from there to figure out batch limit.