I am working in produc management department and using the gemini I have generated many optimized and enhanced product images which ease my work a lot. Also for product data like description, reviews etc it helped me a lot and saved lot of time
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Yash S.
Data Scientist | Python, Machine Learning & Decision Sciences | Turning Data into Insights
I use Google Cloud Vision API mainly for extracting text from images and analyzing image content. It's useful for OCR, detecting objects or labels, and getting structured information from images through an API. It saves me from having to build image and text recognition from scratch. I can send images to the API and get things like extracted text, labels, or detected objects back, which makes processing images much faster and easier. What I like most is that it handles different types of image analysis through one API. The OCR is especially useful, and the results are easy to work with in an application. I also like the object and label detection. It makes it easier to analyze images and get useful information without building a separate computer vision system from scratch. They make image analysis much easier. I can quickly identify what's in an image and use that information in my application without having to build the whole computer vision model myself. The initial setup was fairly straightforward. Once the Google Cloud project and API were set up, connecting it to my application was pretty easy.
What I like best is how it combines AI automation with real-time support for human agents. The virtual agents can handle routine customer queries, while Agent Assist can surface relevant information, suggest responses, and provide real-time guidance during more complex conversations. That helps reduce repetitive work and lets support teams focus on issues that actually need human attention.