![]() If you have backups in iTunes or iCloud, you can recover lost data from iTunes or iCloud backup. If you are careless about dropping your iPhone into water, how can you recover lost photos/videos and other files from your iPhone? The Mac iPhone Data Recovery Software can help you! What's more, whether your iOS device is locked because of the lost or forgotten password or gets smashed, damaged, or even broken, all the data are not lost! As long as your iPhone/iPad/iPod has ever been successfully connected to iTunes on your MacBook, it's possible to get back the lost data from the broken devices directly without backup. Internal database table, fully customizable, to collect extracted data.Recover Lost Data from your Damaged, Cracked ,Broken iPhone, iPad, iPod on Mac.At any moment the user can stop the process.Always responsive also during extraction from folder with nested thousands of files at any nested level.Can use 'Case Sensitive' option for data tags.Extract data also when it is specified by more then one label (it can put different extraction in the same destination field).Extract data only if they respond to certain characteristics.Parse files only if they respond to certain characteristics.Extract data from text document with non unique, ambiguous tags, using special tags usable to instruct Data Extractor where to really start collect data.Extract data from files where records are separated by newline with fields all in one line identified just by labels. ![]() Extract data from files where data are written all in one file with record separated just by a distinctive string.Convert data provided in one format to another when the first format uses a recognizable patter with labels to identify data fields.Can process folders extracting from all the files inside nested to any level.Works perfectly with emails received by Mail.app.Extract data from files one by one, also dragging them via Drag & Drop.Collect order received as server output when not directly inserted inside a database.Can transform customer orders or any data set received via email in a database records (Data Extractor can parse directly emails pointing at your mailbox on your Hard Disk).Documents can also be customized for fast batch processing of large amount of data with also specific different rules of extractions and destinations.Document based, can use a different set of data sources per document.You can in 'Run' launch and see result summary.You specify in 'DataBase' the table to collect data.You specify in 'Extract Rules' what extract and where to put it. ![]()
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