This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).

Product Thumbnail

ImgZilla

Compress images in place — same name, path, format

Mac
Storage
Photography
Visit WebsiteSee on Product HuntTwitterApp Store

Hunted byxq zxq z

ImgZilla compresses images directly on your Mac — nothing ever leaves your machine. Drop in files or whole folders; it compresses in place, same filename, path, and format, so nothing breaks in your CMS, code, or archive. PNG and SVG are true lossless; JPEG, WebP, AVIF, HEIC, and GIF are visually lossless, tuned per format. No quality sliders — just a built-in compare window to verify results yourself. Originals move to the Trash by default and are fully recoverable.

Top comment

Hey Product Hunt 👋 I built ImgZilla because I was tired of two things: uploading images to some web compressor and hoping they weren't quietly storing them somewhere, and using "save as compressed" tools that leave me with a folder full of image-min.jpg duplicates I then have to go rename everywhere. ImgZilla compresses in place — same file, same path, same name — and never sends your images anywhere. It's fully sandboxed and only touches files you explicitly select or drag in. A couple of details that didn't fit in the description: It's macOS 12.3+ only for now — no Windows, iOS, Android, or web version. Free tier is 10 images/day, resets daily. One-time purchase or subscription removes the limit. Originals aren't deleted — they move to the Trash by default, so you can always put one back if you change your mind. A few things I'd love feedback on: Does the "no quality slider, just tuned defaults" approach make sense to you, or do you want manual control? If you're on a small-SSD Mac, does "one-time compression vs. recurring cleanup" resonate as a reason to try this over a junk cleaner? If you're not on macOS — would a Windows, iOS, Android, or web version be useful to you? No promises on timeline, but it'd genuinely help me prioritize what to build next. Happy to answer anything about how the compression engines work (PNG/SVG are lossless, everything else is visually-lossless re-encoding) — there's a compare window built in so you're never taking that on faith. Thanks for checking it out!

Comment highlights

No comment highlights available yet. Please check back later!

About ImgZilla on Product Hunt

Compress images in place — same name, path, format

ImgZilla was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #122 on the daily leaderboard. ImgZilla compresses images directly on your Mac — nothing ever leaves your machine. Drop in files or whole folders; it compresses in place, same filename, path, and format, so nothing breaks in your CMS, code, or archive. PNG and SVG are true lossless; JPEG, WebP, AVIF, HEIC, and GIF are visually lossless, tuned per format. No quality sliders — just a built-in compare window to verify results yourself. Originals move to the Trash by default and are fully recoverable.

ImgZilla was featured in Mac (103.6k followers), Storage (7.2k followers) and Photography (143.2k followers) on Product Hunt. Together, these topics include over 22.6k products, making this a competitive space to launch in.

Who hunted ImgZilla?

ImgZilla was hunted by xq z. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how ImgZilla stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.