RapidRAW

RapidRAW has officially crossed 10,000 GitHub stars and over 610,000 downloads. What started as an empty project folder on my laptop has grown into an incredible global community of photographers and open-source contributors. To celebrate this milestone, I wrote a deep-dive reflection on the entire journey, covering the early prototypes, the late-night shader experiments, and the path forward. You can read the full retrospective [on the blog](https://www.getrapidraw.com/blog/10k-stars).

Alongside this milestone, version 1.6.4 delivers one of the most technically challenging updates yet: **rebuilt highlight recovery capable of reconstructing clipped color channels**. This release also reworks the shader pipeline to introduce true exposure adjustments, adds a responsive masonry grid layout to the library, includes faster crop and pan canvas shortcuts, offers a neutral grey canvas mode, and squashes several backend bugs across export and EXIF handling.


New Features

### Highlight Recovery

To be 100% honest with you: highlight recovery was always one of the weaker spots in RapidRAW. I spent so many hours trying to get it right in the past that I started telling myself it w