![]() Zoological applications - to identify endangered species, as well as other species of interest.Industrial QA automation - to automate visual inspection processes.You can also train your own ML models using Vision AI and gain access to Vertex AI Vision, a platform for app development where you can create new apps. Some of the main features of Vision AI include face and landmark detection, optical character recognition (OCR), and tagging of explicit content. Vision AI or Cloud Vision helps product managers introduce image labeling features to their products. The company provides detailed documentation, so you can set up the free version and test it out yourself. You can also go for a custom-built package or try the free version to check for compatibility and response rates. For face-recognition features, the price is $349/month, which supports 300,000 API requests. Imagga's pricing varies based on the number of API requests. ![]() Advertising - for visual search to allow users to find products or services related to the advertised content, as well as object categorization.IoT - for object recognition to identify and connect with IoT devices in one's vicinity.Real estate - for categorizing real estate images and powering image search.Retail - for enhanced product discovery by tagging product colors and visual search.Media and entertainment - for content moderation and image search.Banking - for authentication and identity verification, as well as scanning, tagging, and categorizing financial documents.These features can support all types of apps in the following sectors: In either case, Imagga's API supports visual search, face recognition, tagging, cropping, coloring, and categorizing all types of images. You can use Imagga's machine learning models or train your own using your data set and Imagga's AI. Imagga is ideal for product managers looking to introduce a visual search or face-recognition feature to their app. Here are some of the best face-recognition, speech-to-text transcription, and image-generation APIs to consider. Using AI-powered features can be a competitive advantage. AI is also being used to perform background functions, such as transaction monitoring, fraud detection, and advanced analyses, and provide personalized recommendations to users. AI-powered voice recognition technologies enable hands-free and intuitive interactions within apps.īesides chatbots and voice assistants, AI is being used to introduce features such as facial recognition, speech-to-text transcription, and image generation.AI algorithms can analyze and understand visual content, allowing apps to perform tasks like image recognition, object detection, sentiment analysis, and content moderation.AI-powered natural language processing (NLP) enables apps to understand and respond to user inputs in a more human-like manner.Product managers are using all types of AI-powered features to enhance their products: Back in 2019, developers placed language and speech at the top of the list of their most commonly used artificial intelligence APIs.Ī little over three years later, large language models and generative AI have taken the world by storm.
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