![]() ![]() But none of these are going to tell you if the "Alice in Wonderland" with some images is similar enough to the same book in raw text until you define what you mean by similar and what you're willing to accept as an error rate. Metadata about author and title will help sift things further. File sizes probably aren't that reliable. File hashes are a good start, which is what DupeGuru is doing. There are libraries that can access all those formats. For images, the duplicate check tools like Duplicate File Finder likely implement modern image comparison algorithms but even they miss similar files (false negatives) and have high false positive rates.įor ebooks specifically you're better off looking at the metadata. If you're doing it with text look at NLP methods like tf-idf or technologies like BERT. You are asking for an algorithmic approach to something people would give different answers to when asked if two images are similar. And I have many other smaller hard drives that I have used over the years and have copied the contents to the main drive. Gcc -L/usr/local/lib shash.o simi.o simiw.o lookup3.o -o shashĭefine "similar". Im on macOS and, for context, I have one main hard drive that should include all my files (and yes, its backed up with redundancy). Gcc -O2 -std=c99 -I/usr/local/include -c -o lookup3.o lookup3.c Gcc -O2 -std=c99 -I/usr/local/include -c -o simiw.o simiw.c Gcc -O2 -std=c99 -I/usr/local/include -c -o simi.o simi.c Trouble building it under FreeBSD and Linux: gcc -O2 -std=c99 -I/usr/local/include -c -o shash.o shash.c These docs are not identical, but they're similar enough that I wouldn't Shash is "a sample implementation of Charikar's hash for identification Versions of the GNUPlot documentation: me% cd /src/graphics/gnuplot/doc Like a similarity hash to compare the output. I think your best bet would be to extract just the text and then run something I have tried searching and tried other apps, but I am unable to find anything that can solve my problem. Is there any software that can find similar files (that search the content of the file) but may have a slight difference, like an extra page or cover, which is close to being a duplicate, but not 100%? I have also ran the duplicate plug-in in Calibre and it is also not flagging the files as dupes. Looking at the files through Calibre reader shows the file looks exactly the same to my eyes. I have 3 files with the same file name, format and size (Example: Alice In Wonderland.epub size 17.5MB)ĭupeGuru is not flagging these as dupes. I am running DupeGuru scan type for “Content”.įor example. However my issue is that I am running into very SIMILAR files (not exact dupes) which DupeGuru is not flagging. I have been using DupeGuru (been using it for years) and it finds exact duplicates, which is great. Update: Tested it already, comparison with Duplicate File Finder.I am in the process of cleaning up and organizing 150GB worth of ebooks in various formats (i.e. Will do an update for it after I do a thorough research. ![]() Update: Lifehacker recommends DupeGuru (with Picture and Music edition to boot), but… I haven’t exactly wowed with what I’ve tried (maybe it’s just me). It catches 2 files in picture mode in different dimension, not caught by DupeGuru PE. ![]() Since the software for Windows has similar functions and was created by the same developer with Mac version. This part will mainly present the dupeGuru review for Mac. files at times dupeGuru Review: A Closer Look. I still like Duplicate File Finder more (think it’s more accurate. Bad support for the newest system version Failed to detect the identical text, music, etc. (I think DupeGuru Picture is very good as well) Best for music: Similarity (I think DupeGuru Music Edition is very good as well).The best result is from Duplicate Cleaner Free, though if you want fast, I suggest DupeGuru.Design sometime feels too simple, can make people confused.can choose Image based on contents and exif, also different dimension.Design-wise it’s pretty simple and straight to the point.There’re separate application for Picture and Music.
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