Readable text inside AI-generated images was, until recently, a reliable way to identify AI output. Garbled letters, warped logos, signs that said nothing in particular - these were table stakes for any image generator. ChatGPT is getting noticeably better at this, and users sharing outputs are showing results that are hard to dismiss.
Recent generations are demonstrating cleaner text rendering, tighter compositions, and more accurate adherence to detailed prompts. Where earlier versions would approximate a concept and hope you didn't look too closely, current outputs are handling specifics - precise brand colors, correctly spelled labels, intentional lighting - with meaningful consistency.
For marketers and content creators who tested AI image generation 12 months ago and moved on, this is a reason to revisit. The gap between ChatGPT's image output and what you'd spend real time producing in Canva or Adobe Express is narrowing for one-shot use cases: social assets, blog headers, quick concept mockups.
The persistent weak point is multi-image consistency. Generating the same character, product, or visual style across a series of images still produces drift - small but noticeable variations in appearance that make it hard to build a coherent visual brand from generated assets alone. For single images, though, the tool has genuinely improved.
The practical test for any image generator isn't whether it can produce something impressive in a controlled demo - it's whether it saves time on work you'd actually do anyway. On that measure, ChatGPT's image capabilities are earning a second look from people who wrote them off.