imgZilla's answer:

Batch-compresses images and entire folders in place, fully offline, with visually lossless quality and a dead-simple, one-drag workflow.

imgZilla's answer:

Most compressors upload your images or spit out renamed copies you have to sort through — ImgZilla does neither: it runs fully offline and compresses in place, keeping the same filename, path, and format. It also handles entire folders recursively with no quality dial to fuss over, and includes a built-in compare view so you can verify the visually lossless result yourself instead of taking it on faith.

imgZilla's answer:

Web developers, designers, photographers with large photo libraries, and privacy-conscious Mac users who'd rather not upload images to a web tool.

imgZilla's answer:

Four years ago I built a simple web-based image compressor and shared it online. People used it, but the recurring pushback was: was it really processing locally, or uploading photos to a server — and could it just be a native app instead? I didn't have a good answer at the time, so I said I'd figure out the technical issues later. It took a few years, but ImgZilla is that answer — a native macOS app that runs fully offline and compresses in place, built to finally close the gap that old thread left open.

imgZilla's answer:

ImgZilla's core tech stack:

PNG — oxipng (truly lossless) SVG — svgcleaner (truly lossless) JPEG — libjpeg-turbo (visually lossless re-encoding) WebP — libwebp (visually lossless re-encoding) AVIF — libavif + libaom (visually lossless re-encoding) HEIC — Apple's native ImageIO framework (visually lossless re-encoding) GIF — gifsicle (visually lossless re-encoding)

It also runs inside Apple's App Sandbox, which restricts it to only reading and writing files the user explicitly selects or drags in — the same constraint that makes fully offline processing possible in the first place.

imgZilla's answer:

• Web developers whose images are already referenced by path in a CMS or codebase
• Designers working with pixel-perfect PNG/SVG assets
• Photographers and anyone with large photo libraries
• Privacy-conscious Mac users who'd rather not upload images to a web tool