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Author Topic: Text comparison tool with most robust similarity/moved block detection  (Read 485 times)

David.P

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Hi forum,

often I use text comparison tools, for example WinMerge, in order to compare two document versions, for example from different sources.

The problem is that the documents often originate from (different) OCR processes and are only slightly different mainly due to the OCR errors. Therefore, even if the contents of two original documents should be identical, WinMerge often does not recognize this and therefore marks the entire document (erroneously) as completely different.

Therefore my question is whether anyone knows of a text comparison tool that has a even more robust block similarity detection* than for example WinMerge has.

Thanks for hints
David.P
__
*) Examples for similarity/moved block detection:
Meld:

(also not good with OCR'ed files)

XDiff:

(could not find a not commercial version for Windows)

Curt

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Re: Text comparison tool with most robust similarity/moved block detection
« Reply #1 on: August 08, 2016, 10:55:19 AM »
Quote from: Superuser 4 yrs ago
WinMerge can do what you want. Just set the line-difference highlighting to character level:

1M8jk.png

Other than that:

16 Alternatives to WinMerge:
https://www.topbesta...natives-to-winmerge/

Free or Open Source WinMerge Alternatives for Windows - AlternativeTo.net:
https://alternativet...amp;platform=windows

Shades

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Re: Text comparison tool with most robust similarity/moved block detection
« Reply #2 on: August 09, 2016, 11:35:10 AM »
'ExamDiff Pro' and 'Beyond Compare' are commercial Differs that do, for my intends and purposes, a very good job on Windows.

David.P

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Re: Text comparison tool with most robust similarity/moved block detection
« Reply #3 on: August 11, 2016, 10:43:12 AM »
Thanks for the responses.

I have already tried lots of Differ tools, but none that I am aware of had a particularly robust moved block detection (when there are only so much little differences within otherwise identical blocks).

Therefore, still thankful for actual experiences regarding, expressly, moved block detection.