In my limited experience, Google Cloud Vision API was much better than Tesseract: https://cloud.google.com/vision#demo. - Source: Hacker News / about 1 month ago

There are services which are specialized in providing alternative text in multiple languages such as AI Alt Text and of course, there are the big players such as Google Geminis Vision AI or Open AI. - Source: dev.to / about 2 months ago

Out of all the tools in this list, Google Cloud Functions is the best for image analysis. While AWS Lambda is good for processing images, Google Cloud Functions is the perfect choice for applications that require image analysis because of its integration with Google Cloud Vision API. It is excellent for building social media applications and applications with face recognition. Here are its key features:. - Source: dev.to / about 2 months ago

Some Google APIs accept more than one type of credentials. For example, while you'd typically use service accounts with the GCP Cloud Vision API, sending an image (rather than reading a file from someone's Google Drive or a GCP project's Cloud Storage bucket) is considered "public data," so an API key works. - Source: dev.to / 3 months ago

1. Google Cloud Vision API (https://cloud.google.com/vision?hl=en). - Source: Hacker News / 3 months ago

At its foundation, AI background removal uses advanced machine learning algorithms to automatically detect and separate the subject from the background in an image. These tools are programmed to recognize edges, textures, and contrasts, enabling them to accurately differentiate between the subject and its surrounding elements. This technology is fueled by deep learning models — neural networks trained on vast... - Source: dev.to / 7 months ago

Background Removal: In situations where the background is irrelevant, AI-powered background removal tools help isolate the main object in the image, refining the search focus to the product itself. This enhances the accuracy of visual matches and improves the overall user experience. - Source: dev.to / 7 months ago

Enhancing Clarity with Background Removal: Underwater images can be challenging to interpret due to murky waters and visual noise. Background filtering APIs improve image clarity by eliminating unnecessary elements, making it easier to assess marine ecosystem health. With clearer visuals, conservationists can monitor changes in coral reefs and detect signs of environmental damage more effectively, improving marine... - Source: dev.to / 7 months ago

For instance, in a science lesson, a teacher may want to emphasize a particular object or diagram by removing a cluttered background. With background removal APIs, educators can easily strip away unnecessary details, enabling students to concentrate on key concepts. Similarly, students can use these tools to present projects or demonstrations with a polished, professional appearance. In subjects like art and... - Source: dev.to / 8 months ago

AI-driven background removal is another key advantage of image processing for construction sites. With the often chaotic nature of job sites—where multiple activities occur at once—focusing on specific elements can be challenging. Background removal technology filters out unnecessary visual noise, allowing construction managers to focus on essential components such as equipment, materials, or designated work areas. - Source: dev.to / 8 months ago