Google Vision AI, Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand the text, and more. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories.
The free tier of Cloud Vision API offers 1000 recognition per month. The paid version ranges from $0.60 to $1.5, depending on the number of transactions.
Best Google Cloud Vision alternatives and competitors
Amazon Rekognition makes it easy to add image and video analysis to your applications. You provide an image or video to the Rekognition API, and the service can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content.
Amazon Rekognition also provides facial analysis and facial search capabilities that can be used to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.The Free Tier lasts 12 months and allows you to analyze 5,000 images per month and store 1,000 pieces of face metadata per month. The paid version has a price range of $0.4 to $1 per 1000 images.
Microsoft Computer Vision, An AI service that analyses content in images. Extract rich information from images to categorize and process visual data—and perform machine-assisted moderation of images to help curate your services. It can identify more than 10,000 objects and 25 languages.
The free tier offers 20 per minute (5,000 transactions free per month), and the Paid version price ranges from 0.65$ to 1$ based on the number of transactions.