How To Achieve Superior Change Highlighting?
If you're coming here from the tools comparison page, you've seen that TreeDiff excels in move detection compared to other comparison algorithms.
TreeDiff's superior performance stems from its ability to consider document structure, the hierarchy of content under headings and sub-headings. This structural understanding allows TreeDiff to accurately detect changes, leading to clearer redlines.
The structural awareness is the reason behind the name "TreeDiff." If you haven't already, explore TreeDiff's capabilities for yourself on the tools comparison page.
By adding information about structural hierarchy to your documents, you can leverage TreeDiff's capabilities to achieve superior change highlighting, saving your customers time and headaches.
To understand this better, let's examine the example document from the comparison page:
In traditional comparison tools, moving the section "Hardware" before "Software" results in a cluttered redline, as they only perceive documents as flat lists of text.
However, when passing TreeDiff structural information about the document, it can identify such moves accurately, even if section headings themselves change.
This is done by encoding content depth information in the documents sent for comparison. Below is an example of what this can look like for the sample document:
We're here to assist you in preparing your software tools to encode content depth and achieve the best possible redline.