Auto Highlight (dnkdpcbijfnmekbkchfjapfneigjomhh): *Auto Highlight* automatically highlights the important content on article pages.... Read More > or Download Now >
Auto Highlight for Chrome
Tech Specs
- • Type: Browser Extension
- • Latest Version: 3.6.0
- • Price: Freeware
- • Offline: No
- • Developer: dannyadam.com
User Reviews
- • Rating Average
- 3.91 out of 5
- • Rating Users
- 22
Download Count
- • Total Downloads
- 34
- • Current Version Downloads
- 0
- • Updated: March 19, 2024
Auto Highlight is a free Productivity Extension for Chrome. You could download the latest version crx file or old version crx files and install it.
More About Auto Highlight
This extension automatically highlights the important content on article pages.
It addresses *tl;dr* in a similar way to an article summarizer.
To use, click the highlighter icon in the location bar. Clicking multiple times changes the highlighting coverage. As the page receives more highlighting from clicking the icon, the icon will show less available ink in the highlighter.
Please let me know if you find particular pages where the extension does not work well. *Auto Highlight* currently uses an algorithm for picking important sentences based on term frequencies in the entire article. With examples of problematic pages, I can possibly improve the technology. I would also like to incorporate more advanced techniques from extraction-based article summarization research.
The source code is available on GitHub:
https://github.com/dstein64/highlight
It addresses *tl;dr* in a similar way to an article summarizer.
To use, click the highlighter icon in the location bar. Clicking multiple times changes the highlighting coverage. As the page receives more highlighting from clicking the icon, the icon will show less available ink in the highlighter.
Please let me know if you find particular pages where the extension does not work well. *Auto Highlight* currently uses an algorithm for picking important sentences based on term frequencies in the entire article. With examples of problematic pages, I can possibly improve the technology. I would also like to incorporate more advanced techniques from extraction-based article summarization research.
The source code is available on GitHub:
https://github.com/dstein64/highlight
