List of Summary APIs for Machine Learning Projects
Free and proprietary machine learning APIs are a good way to get started AI projects without much efforts. Although there are hard to find high quality and performance APIs, like Summary APIs. We compiled a list of APIs to you start your machine learning (ML) project right now. We collected a list of public, free and proprietary Summary NLP APIs, a large curated repository from sentiment analysis, summarization, to law contract analysis APIs. Covering a wide gamma of NLP use cases, from author profiling, classification, to questions and answers.
Let’s get started with APIs!
UnFound Adaptive Text Summarization
The UnFound Keyword Extraction API uses advanced Natural Language Processing (NLP) techniques to extract the most important keywords and phrases from the document or URL provided. Instead of extracting single worded keywords, it can identify phrases as well as multi-worded keywords from the input text.
With this API, you can extract entities such as names of important people, organizations, places, concepts, etc. You can specify the number of keywords that need to be extracted from the input. Input can either be a single document or URL or multiple documents or URLs in a single request. There are several tiers of plan usage available.
UnFound is an intelligent news insights app that helps you consume news that matters. They provide a diverse perspective to news and also give appropriate context, with the aim of eliminating the epidemic of biased misinformation.
Vectorspace AI Summarizer
The Vectorspace AI API returns JSON data with a summary of cryptocurrency news, whitepapers, websites or any other context with optional context control, powered by AI.
MeaningCloud Automatic Summarization
The MeaningCloud Document Structure Analysis API extracts different sections of a given document with markup content (which includes formatted documents such as PDF or Microsoft Word files), including the title, headings, abstract and parts of an email.
This process, even though it takes into account some language markers, is based mainly in the markup of the document, so it can be applied to documents in any language.
The MeaningCloud Document Structure Analysis API is currently in beta.
UnFound Adaptive Text Summarization
The UnFound Keyword Extraction API uses advanced Natural Language Processing (NLP) techniques to extract the most important keywords and phrases from the document or URL provided. Instead of extracting single worded keywords, it can identify phrases as well as multi-worded keywords from the input text.
With this API, you can extract entities such as names of important people, organizations, places, concepts, etc. You can specify the number of keywords that need to be extracted from the input. Input can either be a single document or URL or multiple documents or URLs in a single request. There are several tiers of plan usage available.
UnFound is an intelligent news insights app that helps you consume news that matters. They provide a diverse perspective to news and also give appropriate context, with the aim of eliminating the epidemic of biased misinformation.
Vectorspace AI Summarizer
The Vectorspace AI API returns JSON data with a summary of cryptocurrency news, whitepapers, websites or any other context with optional context control, powered by AI.
MeaningCloud Automatic Summarization
The MeaningCloud Document Structure Analysis API extracts different sections of a given document with markup content (which includes formatted documents such as PDF or Microsoft Word files), including the title, headings, abstract and parts of an email.
This process, even though it takes into account some language markers, is based mainly in the markup of the document, so it can be applied to documents in any language.
The MeaningCloud Document Structure Analysis API is currently in beta.
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