As artificial intelligence and machine learning-based applications have sprung up, we have seen a number of APIs that offer similar functionality quietly on the stage. The API is a combination of programs, protocols, and tools for building software applications; this article is a modification and refinement of this list in 2015, removing some of the deprecated APIs; we have also added recently to IBM, Google, and Microsoft. Factory released API. All APIs can be grouped according to the application scenario:
Face and picture recognition.
Text analysis, natural language processing, and sentiment analysis.
language translation.
Forecasting and other machine learning algorithms.
Within each specific grouping, we sort by acronym; the description of the API is derived from the description on the corresponding home page as of February 3, 2017. If you find that a popular API that is not included can leave a comment in the comment, we will add it to the list.
Face and picture recognitionAnimetrics Face RecogniTIon: This API can be used for face detection in images and matching it to known partial faces. The API also supports adding or removing a category from a collection to be searched. , or add or remove a face image from a category.
Betaface: The same online service that provides face recognition and detection. It supports multi-face detection, face cropping, 123 face feature extraction, face verification, recognition, and similarity search extraction in large databases.
Eyedea RecogniTIon:? is committed to providing high-end computer vision solutions, including object detection and recognition. Its identification service provides common eye, face, vehicle, copyright, and fruit disk recognition. The primary value of this API is the rapid identification of objects, users, and behavior.
Face++: Provides face detection, recognition and analysis services for applications. Users can call the training model through API to perform face detection, face recognition, face classification, image correction, creating face grouping and so on.
FaceMark: Provides the ability to detect 68 feature points in frontal photos and 35 feature points in side photos.
FaceRect: Provides a powerful and complete API for face detection, including the ability to detect faces in front and side photos and extract multiple faces in a single photo; it also outputs results in JSON format, including detection Facial features of the eyes, nose, mouth, etc.
Google Cloud Vision API: Built on the famous TensorFlow®, it can efficiently learn and predict the content in pictures. It helps users search for favorite pictures and get rich annotations in pictures. It can also classify pictures according to different categories such as ships, lions, Eiffel Towers, etc., and identify the faces of different expressions in the photos, in addition to printing the language of different countries in the picture.
IBM Watson Visual RecogniTIon: This API assists in understanding image content, including image tagging, face recognition, age estimation, and gender judgment, as well as searching based on face similarity. Developers can customize a wide range of fantastic products based on the service and their business characteristics.
Kairos: This platform makes it easy for developers to quickly add features such as sentiment analysis and face recognition to applications and services.
Microsoft CogniTIve Service - Computer Vision: This API analyzes visual content based on user input and user selection. For example, tag images according to content, perform image classification, human recognition and return their similarity, perform domain-related content recognition, create content descriptions of images, locate text in pictures, and classify image content for adults.
Rekognition: This API provides fast face recognition and scene recognition based on the characteristics of social image applications. For example, gender, age, and mood prediction based on characteristics such as the human eye, mouth, face, and nose.
Skybiometry Face Detection and Recognition: This API provides face detection and recognition services, and the new version of the API also provides dark differentiation.
Text analysis, natural language processing, sentiment analysisProvides the most accurate emotion-based multi-topic recognition on the market today, currently consisting of four semantic services: entity and concept extraction, sentiment analysis and text categorization; the API supports a total of 8 different languages.
Diffbot Analyze: Provides developers with the ability to identify, analyze, and extract key content and blocks from any web page.
Free Natural Language Processing Service: Provides features such as sentiment analysis, content extraction, and language detection. It is also one of the best-selling products in the large cloud API market, mashape.com.
Google Cloud Natural Language API: This API provides the ability to analyze the structure and meaning of documents, including sentiment analysis, entity recognition, and text annotation.
IBM Watson Alchemy Language: This API assists the computer in learning how to read and perform some text analysis tasks. For example, transform unstructured data into structured data according to domain models, enabling it to serve social media monitoring, business intelligence, content recommendations, business transactions, and targeted advertising.
MeaningCloud Text Classification: This API provides partial pre-classification features: text extraction, word segmentation, stop word settings, synonym extraction, and more.
The Microsoft Azure Text Analytics API? A range of text analytics services based on Azure Machine Learning. The API can be used for the processing of sentiment analysis, key statement extraction, language detection, and topic recognition of these unstructured texts. The API does not require the user to provide relevant training data, which can greatly reduce the usage threshold.
Microsoft Cognitive Service - Text Analytics: Provides features such as sentiment detection, key statement extraction, topics, and language analysis. Other APIs in this group include Bing spell detection, language understanding, text analysis, Web language models, and more.
nlpTools: A simple HTTP RESTful service that provides natural language processing in a JSON transport format. It provides services such as sentiment analysis and text categorization for online media.
Semantic Biomedical Tagger: Ability to extract 133 biomedical related entity vocabularies from documents using text analytics and link them to the knowledge base.
Thomson Reuters Open Calais?: Based on natural language processing and machine learning technology, Calais is able to classify and correlate entity information (personal names, place names, organization names, etc.) in the document, factual information (employee x works for company y), event information (employee z was appointed as the chairman of company y on x.)
Yactraq Speech2Topics? provides a cloud service that converts voice content into topic data based on speech recognition and natural language processing technology.
language translationGoogle Cloud Translation: Ability to do text translation work between thousands of languages. This API allows web pages or programs to easily access these translation services.
IBM Watson Language Translator: Ability to translate text between languages, allowing developers to develop custom models based on unique domain terminology and language features.
LangId: A service that can quickly retrieve results from multiple languages, without requiring the user to specify which language, and can return the language type corresponding to the result.
Microsoft Cognitive Service - Translator: Automatically performs language type detection before translation, supports speech translation in 9 languages, and text translation in 60 languages.
MotaWord: A fast human translation platform that provides support in over 70 languages. The API also allows developers to query translation quotes, upload translation project requests with documentation and style guides, automatically track translation progress, and provide real-time feedback.
The WritePath Translation: API allows developers to integrate WritePath functionality into custom applications, including word retrieval, submitting text translation tasks, and getting translation information.
Forecasting with other machine learning APIsAmazon Machine Learning: Look for hidden mode information in your data. Typical uses include fraud detection, weather forecasting, marketing, and click prediction.
BigML: Provides cloud-based machine learning and data analysis services that allow users to create their own data sources in the form of HTTP requests and select the appropriate model to handle supervised or unsupervised machine learning tasks.
Ersatz: A predictive service provided by a deep neural network based on GPU support that allows users to interact in an API. Ersatz also uses reinforcement learning to combine different neural network models to improve overall performance.
Google Cloud Prediction: Provides a RESTful API for building machine learning models. These tools can analyze different data to extract different characteristics of the data in the application, such as user sentiment, spam detection, recommendation system and so on.
Google Cloud Speech API: Provides fast and accurate speech recognition and conversion services in over 80 languages.
Guesswork.co: The ability to provide a product recommendation engine for e-commerce sites, Guesswork can predict user behavior through a semantic engine built on the Google Forecast API.
Hu:toma:? Helps developers around the world build business-level deep learning chat bots.
IBM Watson Conversation?: Helps build a chat bot that can be deployed on multiple messaging platforms or web pages to understand natural language. Other similar APIs include Dialog, Natural Language Classifier, Personality Insights, Document Conversion, and ?Tone Analyzer.
IBM Watson Speech?: Contains conversions from speech to text and text to speech (such as applications that create voice control).
IBM Watson Data Insights: The series includes three APIs: AlchemyData News, Discovery, and Tradeoff Analytics. AlchemyData provides a high level of targeted search and trend analysis services for a wide range of news and blog content. Tradeoff Analytics is designed to help users make effective choices when multi-target optimization.
IBM Watson Retrieve and Rank: Developers can import custom data into services and use the associated correlation algorithms to train machine learning models. The output of the service includes a series of related documents and metadata, such as the agent's agent can increase the average processing time of the call based on the service.
Imagga: Automatically tag your images to allow your images to be searched for by relevance.
Indico: Provides text analysis (sentiment analysis, Twitter engagement, emoticon analysis, etc.) and image analysis (facial expression recognition, face positioning). Indico's API is free to try and does not require any training data.
Microsoft Azure Cognitive Service? API: Provides machine learning recommendation services based on predictive analytics, such as personalized product recommendations, to replace traditional Azure Machine Learning Recommendations services. The new version provides batch support, better API retrieval services, a clearer API usage interface, and a better registration and billing interface.
Microsoft Azure Anomaly Detection API?: Ability to detect anomalous data in sequence data, such as detecting memory leaks during memory usage.
Microsoft Cognitive Service - QnA Maker: Extract information as conversational, easy-to-navigate data. Other similar APIs include Academic Knowledge, Entity Linking, Knowledge Exploration, and Recommendations.
Microsoft Cognitive Service - Speaker Recognition: Helps the application to analyze and detect the current speaker. Other similar APIs include Bing Speech? (translating speech into text and understanding its general meaning), Custom Recognition?, and more.
NuPIC: An open source project run and maintained by the NuPIC community that implements Numenta's Cortical Learning algorithm based on Python/C++ and provides API services externally. This API allows developers to use basic or layered algorithms, or choose to use other platform features.
PredicSis: Ability to provide marketing effectiveness and benefits through predictive analytics and big data technologies.
PredictionIO: Open source machine learning services based on well-known open source projects such as Apache Spark, HBase and Spray. Typical APIs include creating and managing user information and its behavioral records, retrieving items and content, making personalized recommendations based on users, and more.
RxNLP - Cluster Sentences and Short Texts: Provides services for text mining and natural language processing. The statement clustering API can classify different statements, such as the sentences in different news articles or the short texts extracted from Twitter and Facebook into different groups.
Sightcorp FACE: This API helps third-party applications to better understand user behavior and perform similar face analysis and search based on age, gender, facial expression, head pose, and ethnicity.
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