AlchemyAPI provides advanced cloud-based and on-premise text analysis infrastructure that eliminates the expense and difficulty of integrating natural language processing systems into your application, service, or data processing pipeline.
Stephen here from Lambda Labs. For sample code and a graphical demo, check out http://api.lambdal.com/docs. Our API provides face recognition, facial detection, eye position, nose position, mouth position, and gender classification. If you have any questions ask! Just send an email to firstname.lastname@example.org. Happy Hacking! -Stephen
lambda Paid Usage
A computer vision api for facial recognition and facial detection that is a perfect face.com replacement. We currently have a free api for face detection.
Face.com alternative! Our fast, robust and scalable rekognition engine can do facial detection, crawling, recognition, scene understanding! It can be automatically trained using images and tags on Facebook! Please visit http://rekognition.com/ or email me in mashape to register free quota!
smart mobile software Paid Usage
Ocrapiservice.com is an cloud based optical recognition engine. We take images as input and we reply with text as output. Checkout http://ocrapiservice.com to learn more.
An easy to use Face Detection and Recognition API. Detect faces at various angle, determine gender, check if the person is smiling or wears glasses (maybe sunglasses) with a single API call. You must have an application created in your account at SkyBiometry to use it (sign up at https://www.skybiometry.com/Account/Register if you don't have account yet).
This API can be used to compute a set of readability metrics for a given text. We currently support the following metrics: Automated Readability Index, Coleman-Liau Index, Flesch–Kincaid Grade Level, Flesch Reading Ease, Gunning-Fog Index, SMOG score, and SMOG Index. The service is deployed at Google App Engine and available at http://ipeirotis.appspot.com/readability/ The code and documentation are available on Github at https://github.com/ipeirotis/ReadabilityMetrics