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    <p>I think that mantaining a local centralized database of your photos should be the starting point of your work. So, if you don't have such a database yet (or it's not up to date), you should proceed and download every piece of information from all of your accounts.</p> <p>This task shouldn't be too hard. There are several official/unofficial methods and tools to download entire accounts from these social networks.</p> <ol> <li>Facebook gives you directly a <a href="http://www.facebook.com/help/?page=116481065103985" rel="nofollow noreferrer">convenient zipfile</a> with all your images, wall posts etc., just go to <code>account settings</code> and then select <code>download a copy</code> of your data.</li> <li>Flickr has a nice tool called <a href="http://clipyourphotos.com/bulkr" rel="nofollow noreferrer">Bulkr</a> to download all of your photos.</li> <li>Instagram doesn't seem to provide official tools to complete this task, but you can choose for example between <a href="http://howto.cnet.com/8301-11310_39-57487154-285/download-all-instagram-photos-from-any-user-or-your-own/" rel="nofollow noreferrer">Instagram Downloader</a> and <a href="http://thenextweb.com/apps/2011/07/01/instaport-download-your-entire-instagram-archive-for-backup-or-upload/" rel="nofollow noreferrer">Instaport</a>.</li> <li>iPhoto should be already synchronized.</li> </ol> <p>Now that any and all of your photos are on your PC, you'll have to figure out which are identical, similar and so forth. I think that <a href="https://stackoverflow.com/questions/843972/image-comparison-fast-algorithm">this question</a> should provide the solution to this problem.</p> <p>Personally, I vote for <a href="https://stackoverflow.com/a/8072544/1396334">this method</a>, in the hope that <a href="http://phash.org/download/" rel="nofollow noreferrer">pHash</a> can be compiled under <code>OS X</code>. If <strong>pHash</strong> compiles and works, you can do a first pass of <code>MD5</code>, <code>SHA1</code> or whatever to identify an <em>exact match</em>. If there is no such a match, you can then run <strong>pHash</strong> to see <em>how close</em> the two images are.</p> <p>I could (given enough time) script everything in <code>bash</code> under Linux. I suppose that this could work also under <code>Mac OS X</code>, but probably you can achieve the same result with maybe even less coding in Cocoa.</p> <p>When you find which photos are missing from a given service, you can finally push them to that service. But I suppose that here starts another question :)</p>
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