PicCrush
Free image tools that run 100% in your browser. No upload.
PicCrush launched on June 3, 2026 with 2 votes.
What it does
PicCrush is a free, privacy-first image toolkit that runs entirely in your browser: 🗜️ Image Compressor – compress to any size (100KB, 50KB, etc.) 📷 HEIC to JPG – convert iPhone photos instantly 🖼️ PNG to JPG – with quality control ⚡ Image to WebP – smaller files for faster websites Everything uses the Canvas API. Your photos never leave your device — no server, no upload, no account required. Built for people who care about privacy and speed.
Free online image tools that run 100% in your browser. Compress images, convert HEIC to JPG, PNG to JPG, and images to WebP. No uploads, no sign-up, no watermark.
Free in-browser image tools — compress and convert without uploading. Reduce JPG, PNG and WebP file size in seconds. Everything runs in your browser — your photos never leave your device. Turn iPhone HEIC photos into universally compatible JPG files in seconds. Runs entirely in your browser — nothing is uploaded. Scale images to any width or height instantly. Lock the aspect ratio to avoid stretching — everything runs in your browser. Turn PNG images into smaller JPG files instantly. Runs in your browser — no upload, no sign-up. Convert JPG and PNG to WebP for smaller files and faster websites. Runs entirely in your browser. Turn JPG images into lossless PNG files instantly. Runs in your…from piccrush.com
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Picture KitJan 2026 · picturekit.app · ▲10I’ve been working on a side project for a while and wanted to share it with the HN community to get feedback. The idea started simple: I wanted to do batch image processing entirely in the browser without uploading anything to a server. Most existing tools were either cloud-based (privacy concerns, slow for large batches) or desktop apps that were hard to automate and combine into workflows. A big source of inspiration was macOS Automator. I really liked how you could chain small actions into repeatable workflows, and I wanted something similar for image processing on the web. At first it…
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