List of Documents 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 Documents 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 Documents 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!
IBM Watson Compare and Comply
The IBM Watson Compare and Comply API allows developers to analyze governing documents to get details on critical aspects of those documents. It can identify component pieces, their nature, the affected parties, and any identified categories. This API can also convert documents to HTML, compare two documents, and extract a document's tables.
MeaningCloud Document Structure Analysis
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.
IBM Watson Compare and Comply
The IBM Watson Compare and Comply API allows developers to analyze governing documents to get details on critical aspects of those documents. It can identify component pieces, their nature, the affected parties, and any identified categories. This API can also convert documents to HTML, compare two documents, and extract a document's tables.
MeaningCloud Document Structure Analysis
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.
Classify and extract text 10x better and faster 🦾
Metatext helps you to classify and extract information from text and documents with customized language models with your data and expertise.