AI photo sorter (via) Really interesting implementation of machine learning photo classification by Alexander Visheratin. This tool lets you select as many photos as you like from your own machine, then provides a web interface for classifying them into labels that you provide. It loads a 102MB quantized CLIP model and executes it in the browser using WebAssembly. Once classified, a “Generate script” button produces a copyable list of shell commands for moving your images into corresponding folders on your own machine. Your photos never get uploaded to a server—everything happens directly in your browser.
Recent articles
- Vibe engineering - 7th October 2025
- OpenAI DevDay 2025 live blog - 6th October 2025
- Embracing the parallel coding agent lifestyle - 5th October 2025