Gemini Nano Banana Pro may be getting its most practical upgrade yet

Google continues to impress with its recent product launches, including the Gemini 3 Pro and Nano Banana Pro, both of which have garnered favorable reviews. However, exciting news has surfaced regarding an enhancement in the works for the Nano Banana Pro. According to insider @testingcatalog on X, Google is developing a new annotation feature for the Gemini platform. This innovative addition will empower users to draw on and add text to images generated by Gemini prior to downloading them. A recent image shared by the leaker displays options for sketching on images and inserting text, making it clear that this feature could substantially enhance user experience. At first glance, this modification may not seem significant, yet it promises to be a valuable tool for dedicated Gemini users. There has been a growing demand for the ability to annotate images during the generation process, especially for integrating these visuals into videos created with Veo 3.1. The potential here is remarkable; users could label different sections of an image with specific camera angles or desired effects, streamlining video production and aligning it more closely with their vision. If implemented directly within Gemini, this feature could simplify workflows, granting users greater control over their annotations. This capability extends beyond just video production; it could also serve as a visual prompt for generating new images. For instance, if a user wishes to add a cat and a dog to a generated scene, they could merely sketch a circle and a square on the image, label them accordingly, and the AI would interpret these visual cues to make the requested changes. While the Nano Banana Pro has shown marked improvements in interpreting user instructions compared to its predecessor, there are still instances where the image generation may falter. The introduction of the annotation feature could provide a solution, allowing users to directly correct any discrepancies by marking the areas that require adjustment, leading to enhanced accuracy in image creation.