Text summarize

PaperLit Text Summarize is a simple tool to "compress" your text/article and summarize it to create a shorter version, without compromising the original meaning, FOR FREE!
You can pick the size you prefer (up to 10% of the original size).

Original Text:

Summarization percentage
Summarization in progress
Summarization complete

Summarized Text:

Text Summarize: compress any text in any language

Text Summarize is a tool that helps you compress your text, make it more concise, and detect different ways to write the same concepts. To summarize your text, simply place your cursor into the text box above and start typing. Alternatively, you can just copy your original text and paste it into the text box above on the left.

You can select the compression level by choosing a percentage on the drop down menu above the editing text box. You can also copy and paste the text you want to compress from another program over into the editor. Pressing the "Summarize" button, you will find the summarized text in the text box on the right.

Tip: Bookmark this page now.

Why do you need to summarize a text?

The ability to summarize a text and compress it can be very important. For example, if an author has to write a maximum amount of words for an article, essay, report, story, book, paper, you name it. TextSummarize will help to make sure its word count reaches a specific requirement or stays within a certain limit.

If you think that your text doesn't reach che correct length, you can change the percentage level and retry to summarize it.

Where is Text Summarize being used?

Text Summarize uses PaperLit technology. PaperLit is a tech company (part of the Datrix group), dedicated to the development of software products, based on Artificial Intelligence, for content distribution and data monetization.

Founded in 2009 in Menlo Park, California, PaperLit first revolutionized the way publishers around the world transform and distribute paper publications on mobile devices.

The technology behind Text Summarize is being used behind the scenes in many solutions provided by PaperLit, such as MobiLit, VoiceLit, MagPedia.