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Harness the power of next-generation AI to extract more from text in 27 languages: detect bigotry, sexual harassment, cyberbullying, extract topics, and find not only whether, but also why the customer is happy or unhappy with your product or service. Our applications and components are accessible via a public cloud on a subscription basis (SaaS), can be installed on premises, or embedded in 3rd party applications for seamless integration and security.
The supported languages are: English, Chinese (Simplified and Traditional), Arabic, Danish, German, Spanish, Persian, Finnish, French, Hebrew, Indonesian, Italian, Japanese, Korean, Malay, Dutch, Norwegian, Polish, Pashto, Portuguese, Russian, Swedish, Thai, Turkish, Urdu, Vietnamese.
We offer several ways to use our components, from a generous free plan (not just a limited trial) to enterprise-grade plans and on prem installation options. Whether you're a small startup, an independent developer, or an enterprise, we can work together.
Modernizr API Search Results & Alternatives
Architectural Style Recognition API, ArtemTecta, recognizes the architectural style(s) of a building (exterior ans/or interior) in an input photo among the most known of architectural styles: roman, classical, neoclassical, renascence, gothic, baroque, rococo, art nouveau, art deco, modernism, postmoderrnism.
Related APIs in Category: Browsers
Full page performance and speed analysis with a real browser using Google PageSpeed and Yahoo YSlow. Using the GTmetrix API, you can integrate performance testing into your development environment or into your application. The GTmetrix API is based on the Web Testing Framework (WTF) Testing Service API which is RESTful API. Please contact us if you have any questions or comments about the API, or if you end up using it in a cool and interesting way! Signup instantly for free and get your API key at http://gtmetrix.com/
Food Categories Recognition API - Foodivisus (also known as Food Categories detection API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string) or an url of the image and returns a JSON string which contains predictions with certain amount of probability (filtered for output with minimum 20%), which contain the basic Organic Food Categories (breads, cereals, cheese, eggs, fat meat, fish, fruits, greens, lean meat, milk, noodles, nuts, pasta, poultry, rice, sea fruits, vegetables, yogurt) each of it based on the detected food category from the input photo.