Checks for fake DNS as well as uses regex functions to check the email for the right length and accepted characters.
For example it will mark as valid an email like 'john@gmail.com' but it will recognize as a fake 'john@gmaill.com' (because of the not existing domain)
By pozzad
Updated 3 weeks ago
Imgur's API exposes the entire Imgur infrastructure via a standardized programmatic interface. Using Imgur's API, you can do just about anything you can do on imgur.com, while using your programming language of choice. If you're familiar with the APIs of Twitter, Amazon's S3, del.icio.us, or a host of other web services, you'll feel right at home.
The full documentation is available at: https://apidocs.imgur.com/
By Imgur
Updated 3 weeks ago
Get a random quote in JSON format.
Current categories are:
- famous
- movies
By Andres Olvera
Updated 3 weeks ago
Detect the information of the given photo(e.g. face location, age, race, gender etc.)
By faceplusplus
Updated 3 weeks ago
This API provides up to date Hearthstone data pulled directly from the game.
By omgvamp
Updated 3 weeks ago
FaceRect is a powerful and free API for face detection. It finds faces (both frontal and profile) on the image specified by URL or uploaded as a file and is able to find multiple faces on a single photo, producing JSON output with a bounding box for each face found. Check out visual demo here: http://apicloud.me/apis/facerect/demo/. Note that additionally FaceRect can find face features for each detected face (eyes, nose and mouth). For more precise face feature detection please see our FaceMark API: https://www.mashape.com/apicloud/facemark
By apicloud
Updated 3 weeks ago
Get your API key at https://api.bitext.com/#/signup/api
Contact us at info@bitext.com
You can use this REST API to perform:
Sentiment Analysis: Structure every part of an opinion into positive/neutral/negative, identify the topic of the opinion, the sentiment expression used, and get a numeric value for each of the sentiment-bearing phrases.
Entity Extraction: Extract from text names, places, firms, twitter users, and others.
Categorization: Classify text using a custom build taxonomy
Concept Analysis: Linguistically based structuring text.
By bitext
Updated 3 weeks ago
Is this comment positive or negative? Find out the tone.
By Twinword API
Updated 3 weeks ago
Detect, analyze and recognize faces
By Oleksandr Kazakov
Updated 3 weeks ago
Multilingual sentiment analysis of texts from different sources (blogs, social networks,...).
Besides polarity at sentence and global level, Sentiment Analysis uses advanced natural language processing techniques to also detect the polarity associated to both entities and concepts in the text. Sentiment Analysis also gives the user the possibility of detecting the polarity of user-defined entities and concepts, making the service a flexible tool applicable to any kind of scenario. Additionally, Sentiment Analysis detects if the text processed is subjective or objective and if it contains irony marks [beta], both at global and sentence level, giving the user additional information about the reliability of the polarity obtained from the sentiment analysis.
By MeaningCloud
Updated 3 weeks ago