The Flow.ai API is organized around REST. Our API has predictable, resource-oriented URLs, and uses HTTP response codes to indicate API errors. We use built-in HTTP features, like HTTP authentication and HTTP verbs, which are understood by off-the-shelf HTTP clients.

Our messaging API supports cross-origin resource sharing, allowing you to interact securely with our API from a client-side web application (though you should never expose your secret API key in any public client-side code). JSON is returned by all API responses, including errors.

Use the Freelancer API to access a cloud workforce of skilled freelancers from your website, app or software.

Freshchat is a cloud based messaging solution that allows you to effectively interact with your business users. It provides an efficient messaging service for lead generation, customer engagement, and customer support and thereby, makes your business competent.

Freshchat APIs can be used by customers and partners to build custom integrations and workflows. APIs help solve the problems around customising existing workflows and tailoring it to specific business structures, integrating bot flows into messaging, syncing-up and transferring data from external systems, and so on.

If you’re looking for an AI/ML API that can help you with natural language processing, the Geneea API is worth checking out. This API offers a wide range of features, including text classification, entity recognition, and sentiment analysis. Plus, it’s easy to use and well-documented. In short, it’s everything you could want in an NLP API.

The Google Assistant SDK lets you add voice control, natural language understanding and Google’s smarts to your ideas. Your project captures an utterance (a spoken audio request, such as What's on my calendar?), sends it to the Google Assistant, and receives a spoken audio response in addition to the raw text of the utterance.

Google Cloud AI Platform offers a suite of pre-built AI services that can be used to develop AI applications. These services include image and video analysis, natural language processing, and speech recognition. Google's API is easy to use and integrates seamlessly with other Google Cloud services. Moreover, it offers a high level of customization, allowing businesses to fine-tune the APIs to meet their specific requirements.

Get insightful text analysis with machine learning that extracts, analyzes, and stores text

Train high-quality machine learning custom models without a single line of code with AutoML

Apply natural language understanding (NLU) to apps with Natural Language API

Convert text into natural-sounding speech using an API powered by the best of Google’s AI technologies.

Enable powerful content discovery and engaging video experiences.

An API for training machine learning models. This reference documentation describes the AI Platform Training-related methods of the AI Platform Training and Prediction API.

Working with the Hume AI Platform is easy! Built atop rigorous scientific studies of human expressive behavior, it's the only toolkit you need to measure nonverbal cues in audio, video, and images. Get started with our API, and integrate our cutting-edge models into your applications

This learning path is designed to give you an overview of the Distributed AI APIs, a set of RESTful web services with data and AI algorithms to support AI applications across distributed hybrid cloud and edge environments. The objective of this learning path is to show the capabilities of the Distributed AI APIs while keeping the material consumable.

To follow the learning path, you should be familiar with Python as well as the basic terminology around AI and machine learning. You'll need a system (Linux®, Windows, or Mac) with Python 3.8, a web browser with access to the internet, an IBM ID, and trial API keys.