Generate realistic voice overs for blogs, videos, podcasts and more using AI text-to-speech technology. No microphone required! Blogcast is an AI-powered text-to-speech technology that has zero waiting for no involvement of humans. It is fully automated podcast with endless possibilities. With blogcast you can enhance WordPress posts, Medium articles, and website content with audio to expand your reach. Quickly create voice over tracks for YouTube videos without hiring expensive talent. Generate podcast episodes as new articles are posted. Explain concepts and provide audio for courses and online training. Add audio to product explainers, demos, and support materials. Publish audio chapters from existing book content.

Integrate voice and conversational intelligence into your products through an independent AI platform that is always learning. Our Speech-to-Meaning® engine delivers unprecedented speed and accuracy, while our Deep Meaning Understanding™ technology allows users to ask multiple questions and filter results all at once. With custom wake words and custom domains, you maintain your brand and you keep your customers. It's that simple. Some of the prominent companies using this system are Honda, Mercedez Benz, Snap Inc, Pandora, KIA & Harman.

Base64.ai document processing AI can instantly process over 500+ document types, including IDs, driver licenses, passports, visas, vehicle registrations, insurance cards, and invoices, commonly used by the gig economy, governments, airlines, and banks. Our technology can automate existing manual data entry processes without the need for model training, senior ML engineers, or infrastructure. Base64.ai face recognition & matching AI can help you prevent user fraud by instantly comparing the user's selfie with their ID, driver's license, passport, or visas.

Chat with a bot about anything and everything - AI learns from people, in context, and imitates. The Cleverbot API is RESTful. You call a URL on our server and we return JSON.

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js. Using this API, you can predict the age, color and probable accuracy ration. Demo projects are placed inside the link.

With ML Kit's landmark recognition API, you can recognise well-known landmarks in an image. When you pass an image to this API, you get the landmarks that were recognized in it, along with each landmark's geographic coordinates and the region of the image the landmark was found. You can use this information to automatically generate image metadata, create individualized experiences for users based on the content they share, and more.

With ML Kit's text recognition APIs, you can recognise text in any Latin-based language. Text recognition can automate tedious data entry for credit cards, receipts, and business cards. With the Cloud-based API, you can also extract text from pictures of documents, which you can use to increase accessibility or translate documents. Apps can even keep track of real-world objects, such as by reading the numbers on trains.

With ML Kit's face detection API, you can detect faces in an image, identify key facial features, and get the contours of detected faces. With face detection, you can get the information you need to perform tasks like embellishing selfies and portraits, or generating avatars from a user's photo. Because ML Kit can perform face detection in real time, you can use it in applications like video chat or games that respond to the player's expressions.

With ML Kit's image labeling APIs, you can recognize entities in an image without having to provide any additional contextual metadata, using either an on-device API or a cloud-based API.

Detect faces at various angles. Detect multiple faces in a photo simultaneously. With or without glasses. With any expression.

Music recognition API. Recognizes music like Shazam. Find music by audio and also by text. It recognizes music from the opened tab of your browser.

Computer Vision APIs for automatic image captioning, face recognition, NSFW classification. Use our advanced Deep Learning APIs to automatically identify and extract the text from an image. Examples include locating documents and receipts in photos, and performing OCR; locating and read license plates in photos, and more.

Natural Language Processing. Give users new ways to interact with your product by building engaging voice and text-based conversational interfaces, such as voice apps and chatbots, powered by AI. Connect with users on your website, mobile app, the Google Assistant, Amazon Alexa, Facebook Messenger, and other popular platforms and devices.

Data Analytics. Keen lets you view your stored data in graphical format. Keen is the all in one solution for event data management, from collection to application. Easily collect events from the platforms and data sources that you need and seamlessly embed analytics that match your look and feel.

Forecasting API for time series data. This API currently provides forecasting for time series data that you can test below. You can use it to forecast energy consumption, temperature, or any other time series data which has some seasonality effect.

Computer Vision. API lets you build amazing apps with the world's best image and video recognition API. Through this API developers can create automatic tagging, content moderation, visual search, classification, Face verification, aerial surveillance, predictive maintenance, demographic analysis.

Natural Language Processing. Wit.ai makes it easy for developers to build applications and devices that you can talk or text to. Our vision is to empower developers with an open and extensible natural language platform. Wit.ai learns human language from every interaction, and leverages the community: what's learned is shared across developers. Easily create text or voice based bots that humans can chat with on their preferred messaging platform. Users enjoy a hands-free mobile experience while driving, working out, cooking. Developers use Wit to easily build a voice interface for their app. Users are sitting on their couch, and the remote is out of reach. Wit invokes Home.set_temperature() on the thermostat if they say they are feeling hot. Wearable devices come with tiny screens. Wit enables not only the maker of the device, but also its ecosystem of developers, to build their must-have voice interface. Wit not only enables your hardware to understand humans, it also helps you discover their unforeseen needs.