A privacy-friendly, new generation, highly accurate anti-spam filter for contact forms, comment systems, blogs, live chat- the limit is your creativity!
A better Face detection service! Provides coordinates for all faces detected.
Summarize any URL or text using state-of-the-art abstractive and extractive summarization models.
Random Stuff API can give AI-based responses, random jokes, memes, images and much more for absolutely free
PresentID QR-Code & Barcode scanner API can scan both QR code and barcode.
PresentID face mask detection API can detect that the person wears a mask or not.
A chatbot that can be used to automate your business or for fun. For more info: https://robomatic.ai, REST API documentation: https://robomatic.ai/doc/API_-_POST
Perform common tasks in Natural Language Processing: sentiment analysis, named entity recognition, summarization, and question answering
Web of Trust API - Assess domain or IP address reputations and risk profiles with the WOT API. Our technology enables you to upgrade your security, protect your users and explore the internet safely.
Our GPT-Contentyze algorithm completes the sentence you start. You can provide a headline or a longer sentence or a paragraph as an input.
An intelligent chatbot that can answer any type of question! - Take a taste here: https://iamai.page/ -- Full docs here: https://iamai.page/#/docs
Machine learning is a type of artificial intelligence whereby machines take data and interpret it, find patterns, and make predictive decisions based on what they can deduce from the information extracted.
A machine learning API taps into data and pulls predictive answers, which are then sent to the user’s application. Thus, the API is the intermediary between the question and the solution.
The most prominent cloud-based machine learning solutions are Amazon Web Services (AWS), Google, IBM, Microsoft, and Salesforce. One may think that a machine learning API is more complicated than other types of APIs; however, many are built using the REpresentation State Transfer (REST) architecture type. First, developers connect their chosen service’s API with their application. The API then becomes the highway linking the questions posed by the application’s users to the learned answers provided by the server on the other end.
The use cases for machine learning are limited only to imagination, as are their APIs. Some real-world applications include:
Even people who know nothing about this tech have likely benefited from it, such as translating a phrase into another language using Google or taking a picture of a statue to learn more about it or buy a figurine of it.
Machine learning has evolved rapidly over the past ten years and continues to do so. The technology is behind everything from AI chatbots in customer service to self-driving cars. The APIs help power unique applications that bring the power of machine learning into consumer’s hands, allow companies to monitor every portion of their business, and much more.
The power of machine learning is vast, and the use cases are many. Therefore, developers should ensure that the API they choose is connected securely to the correct machine serving up the data predictions they require for their app.
All Machine Learning APIs are supported and made available in multiple developer programming languages and SDKs including:
Just select your preference from any API endpoints page.
Sign up today for free on RapidAPI to begin using Machine Learning APIs!