Your Windows utility belt for everyday photo tasks.
PhotoTray is a Windows desktop application that acts as an all‑in‑one utility belt for working with photos, built around a simple principle: everything happens locally on your own machine, with no uploads, no file‑size caps, and no account required.
It's designed for people who regularly wrangle images from iPhones, cameras, and the web and who care about keeping those files private.
Convert — Change image formats freely: read HEIC, WebP, AVIF, RAW, PSD, TIFF, and SVG, and export to JPG, PNG, WebP, AVIF, TIFF, BMP, GIF, ICO, or PDF.
Enhance — Improve the image itself: 2× AI upscaling with Real‑ESRGAN and local background removal via the ISNet model.
Organize — Tidy up your library: auto‑rename by date, sort into year/month folders, and flag duplicates.
Protect — Guard your privacy before sharing: strip GPS coordinates and metadata from photos.
Repair — Fix broken files: resolve .MOV video compatibility issues.
AI video with native sound, paid per clip. Nothing stored.
A calmer Mac menu bar, one click away.
Enterprise Software. Intelligent Automation. Global Impact.
Comments
3Photo Tray is a free, local Windows image tool that supports format conversion (HEIC/WebP, etc.), AI-powered image enlargement and background removal, image renaming and editing, and metadata removal to protect privacy—all without uploading images. It's incredibly convenient, secure, and efficient for post-processing product images generated by LoraAI https://www.loraai.pro/ .
Photo Tray is a free, local Windows image tool that supports format conversion (HEIC/WebP, etc.), AI-powered image enlargement and background removal, image renaming and editing, and metadata removal to protect privacy—all without uploading images. It's incredibly convenient, secure, and efficient for post-processing product images generated by LoraAI https://www.loraai.pro/ .
I tried the demo. The onboarding is quick, but I could not find how you handle duplicates when the same company shows up under two searches. Is it by domain or by name? That is the part that took me the longest on my own project.