Are you looking for any alternatives to AWS text analysis services? In this post, you will learn all about the best APIs that can help you!
Amazon AWS text services provide an easy-to-use interface for text and image analysis using a variety of machine learning models.
This service automatically extracts text and data from scanned documents and offers an API for people looking to open and extract content from PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, and other file formats.
For example, you can tap into massive amounts of unstructured text. This can include blog posts, social media updates, and news articles. From there, you can analyze and extract actionable insights from this data.
However, AWS isn’t the only or better service available for text extraction. For example, offers an overwhelming pricing model with a lot of hidden charges for using even basic services.
There are many factors that contribute to the quality of a text analysis API, but the two most important are: How well it works and how accessible it is.
When choosing an API for your text extraction data, you should consider why you are collecting the data and what you want to do with it. You need an API that can handle a large amount of data, also one that can make sense of it all, and offers you better pricing schemes.
That is why we recommend you try out these APIs!
1. Klazify
Klazify is one of the most reliable classification APIs that are currently on the market. It is an all-in-one domain data source that helps you easily extract clean and organized information.
You can obtain anything you want by using a URL or email. Any kind of elements that come to your mind: logos, company data, locations, and more.
With the information provided by Klazify, you can execute important actions such as improving your data, getting to know what kind of actions and strategies are working, which ones are not, and more.
For additional information, go to https://www.klazify.com/#faq
2. Natural Language Toolkit
This API focuses on research and education. Hence, it is filled with amazing resources such as data sets, pre-trained models, and a textbook that will help you get started.
However, it has some limits. If you want to analyze and extract information from extremely complex data sources, this may not be the best option.
But if you want to text analyze more basic sources and categorize them, this API will be extremely helpful. In the end, it all depends on your needs.
3. SpaCy
SpaCy is a text analysis API that narrows down the options for you by only showing the best algorithm for each task.
Also, it comes with several pre-trained models for tasks like named entity recognition, text classification, and part-of-speech (POS) tagging.
Now that you have these three amazing options to use, go for it, try them, and steak with the one you feel the most comfortable with.
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