Is Google's new AI image-editing tool an Adobe-killer? We tried it to find out.

In the evolving landscape of generative AI, Google has introduced a revolutionary image-editing tool that raises questions about the future of established software giants like Adobe. This innovative tool not only offers similar features to Adobe's suite but does so at a lower cost, integrated within a comprehensive AI service that provides additional functionalities. An initial trial of this Google image model, known as Nano Banana, demonstrated its capabilities. According to tech journalist Hugh Langley, who tested an early version, the tool generally outperformed its competitors. While it occasionally faced challenges in accurately merging faces from different images, its strength lay in making subtle adjustments to existing photos. For instance, when Langley requested to add glasses to his photo and change the color of his T-shirt to red, the Google tool stood out by successfully retaining the stripe pattern on the shirt, a detail that other AI platforms missed. The overall quality of the edited image was sharper, showcasing the tool's potential. When the full version of this photo-editing AI tool was launched as part of Google Gemini, Langley and his colleague engaged in some creative experiments. They shared photos and requested imaginative scenarios, such as a picture of them riding a banana boat. The tool's output included unexpected elements, like a mysterious figure on a jet ski, prompting further edits. Langley quickly discovered that Gemini could effectively remove unwanted elements from images within seconds, although some minor pixelation occurred when transferring the edit via email. Starting over with the original images, he found that the process was fast, user-friendly, and yielded impressive results, despite some quirky inaccuracies, like overly bright teeth in his edited image. Overall, while the tool has its imperfections, it offers a glimpse into a future where AI-driven photo editing could become mainstream, challenging the dominance of traditional software solutions. As these technologies continue to advance, the impact on both consumers and the software industry will be significant.