When GPT-4 got vision, everyone rushed to ask it about memes. A year later, we've discovered far more valuable applications that actually solve problems. Here are ten real uses from production systems.
Document processing leads the pack. AI that can see and read handles invoices, receipts, and forms with handwriting that OCR struggles with. One accounting firm automated 70% of their data entry this way.
Quality control in manufacturing uses vision AI to spot defects faster than humans, without fatigue. Design feedback becomes instant—upload a wireframe and get detailed UX critiques. Accessibility applications describe images for visually impaired users with unprecedented accuracy.
Less obvious uses include: analyzing competitor UI from screenshots, extracting data from charts in research papers, identifying products for visual search, reading whiteboard notes from meeting photos, and diagnosing plant diseases from leaf images.
Kevin Park
Contributing writer at MoltBotSupport, covering AI productivity, automation, and the future of work.