Google Vision AI Reviews and Details

Social recommendations and mentions

• DeepSeek OCR

  How does an LLM approach to OCR compare to say Azure AI Document Intelligence (https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/overview?view=doc-intel-4.0.0) or Google's Vision API (https://cloud.google.com/vision?hl=en)? - Source: Hacker News / 11 months ago

• What is the Most Effective AI Tool for App Development Today?

  At the core of many AI-powered applications are foundational models—large language models (LLMs) and APIs that provide the intelligence for features like natural language processing, image recognition, and decision-making. These tools serve as the brain of the app, processing inputs and generating outputs that feel intuitive and human-like. - Source: dev.to / about 1 year ago

• Ask HN: Is there an OCR that might be able to handle field datasheets?

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

• Generating Alternative Text with AI

  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 / over 1 year ago

• Get Started with Serverless Architectures: Top Tools You Need to Know

  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 / over 1 year ago

• Getting started with Google APIs: Service Accounts (Part 1)

  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 / over 1 year ago

• Ask HN: What is the best method for turning a scanned book as a PDF into text?

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

• Ask HN: Is there no good OCR available?

  Does it have to be an "AI" model in the modern usage of it (LLMs, etc.?) In the past, I found Google's Cloud Vision API to be pretty good for this sort of thing (images in text): https://cloud.google.com/vision?hl=en#demo. - Source: Hacker News / about 2 years ago

• Start Your AI Journey: A Business Guide to Implementing AI APIs

  For example, Google Cloud Vision offers a range of APIs for natural language processing, image recognition, and speech-to-text transformation. Microsoft Azure AI Vision supplies powerful tools for analyzing images and videos. API4AI is another platform that provides various AI functionalities such as face recognition, image classification, and document processing. Amazon Rekognition excels in image and video... - Source: dev.to / about 2 years ago

• Deep Learning Mastery: Key Concepts and Transformations in Image Processing

  Google Cloud AI provides a range of robust tools for image processing, including AutoML Vision and Vision AI. - Source: dev.to / about 2 years ago

• Ask HN: Please recommend me an NSFW content detection API

  I've been trying out Google's Cloud Vision API (https://cloud.google.com/vision) as a means of detecting NSFW content in user-submitted images but am finding it surprisingly unreliable. A large proportion of requests appear to just randomly hang before timing out with no error. I'm looking for recommendations for an alternative solution which can flag images containing pornography, gore, violence, etc. All the bad... - Source: Hacker News / about 3 years ago

• NASA Image Of Apollo 17 Landing Site Featuring A TR-3B Patented Triangle Shaped Craft

  I wonder if we could use something like https://cloud.google.com/vision to employ AI image classification on these sat images? Source: about 3 years ago

• Picture Recognition

  There are many. Google Lens can classify images. It can even identify species of plants and animals. If by "toolset" you mean you want an API to write your own applications, you can use the Google Vision API. Source: about 3 years ago

• I work at a non-tech company and have been asked to make software that is impossible. How do I explain it to my boss?

  Could you use Vision AI for this maybe? Source: over 3 years ago

• just finished the thumbnail to my 8th gaming video. any critiques? anything i should add, remove, change in your opinion? just trying to perfect my craft as best as possible. the vid is just simple gameplay btw

  The violence will get it not recommended, use https://cloud.google.com/vision/ to see what I'm talking about. It comes up as very racy and possibly adult. Source: over 3 years ago

• An in-depth look at locally training Stable Diffusion from scratch

  Its been a couple years so I'll link to the API. Https://cloud.google.com/vision. Source: over 3 years ago

• Does Thumbnail Text Affect SEO?

  You can test to see how the AI interprets your thumbnail here: https://cloud.google.com/vision/. Source: over 3 years ago

• Have you tried creating image search tool using CLIP model on ecommerce D2C site?

  I've been working on an ecommerce D2C site and I'm looking to implement an image search tool to make it easier for customers to find the products they're looking for. I've been exploring different options. The CLIP-as-a-service from Jina AI seems promising due to its a low-latency with high-scalability service for embedding images and text, but I'm not sure if it's the best approach or not. Google is offering... Source: over 3 years ago

• From pixels to information with Document AI

  We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. For example, Natural Language AI and Vision AI extract insights from text and images, with human-like results. They solve problems central to the way we communicate:. - Source: dev.to / over 3 years ago

• Bing introduces itself as Google's "Vision AI"?

  Https://cloud.google.com/vision is Google's Image Recognition system, but this really caught me off guard, especially after clearing the conversation. Source: over 3 years ago

• GitHub Is Sued, and We May Learn Something About Creative Commons Licensing

  Google also used all of this to improve their OCR algorithms, almost certainly used in Google Cloud Vision[0], but I doubt this was a consideration when deciding if it was transformative/fair use. 0: https://cloud.google.com/vision. - Source: Hacker News / over 3 years ago