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Цена	$149.95
Описание	DataNumen CAB Repair(DCABR) is a powerful tool to repair corrupt CAB files. It can scan the damaged CAB archives and recover your data in them as much as possible, so to minimize the loss in file corruption. Currently DCABR can fix all versions of Microsoft cabinet files. Moreover, it has integrated with Windows shell, supported drag & drop operations and command line parameters, which will make you repair files easily and quickly.
Поддержка операционной системы	WinXP, WinVista, WinVista x64, Win7 x32, Win7 x64, Win2000, WinOther, Windows2000, Windows2003, WinServer, Windows Vista Ultimate, Windows Vista Ultimate x64, Win98, WinME, WinNT 3.x, WinNT 4.x, Win95, Windows Vista Starter, Windows Vista Home Basic, Windows Vista Home Premium, Windows Vista Business, Windows Vista Enterprise, Windows Vista Home Basic x64, Windows Vista Home Premium x64, Windows Vista Business x64, Windows Vista Enterprise x64
Системные Требования	6MB disk spaces; 8MB memory spaces
Рейтинг	0/5 1 2 3 4 5 0/5 подсчитано на основе 0 голосов.
Собственность	adm
Версия программы	2.4 (Dec 20, 2020)
Тип лицензии	Shareware ($149.95 USD)
Язык программы	English
Скриншот приложения
Похожие публикации	DataNumen Zip Repair DataNumen Inc., a world leader in data recovery technologies, announces DataNumen Zip Repair 2.5. This application lets anyone repair corrupt Zip archives with remarkable ease. DataNumen DBF Repair DataNumen released DataNumen DBF Repair, a powerful tool to repair corrupt DBF files. DataNumen PSD Repair DataNumen PSD Repair is a powerful tool to recover corrupt Photoshop image(PSD, PDD) files. DataNumen BKF Repair DataNumen BKF Repair restores damaged Microsoft backup files in a clear and understandable way. The program is remarkable for its broad opportunities and simple, unpretentious interface. DataNumen TAR Repair Hong Kong - November 16, 2013: DataNumen Inc. has announced the release of DataNumen TAR Repair 2.0. If TAR archive files are corrupt or damaged, this powerful repair engine will recover the data at the maximum possibility.
Дата создания	Nov 18, 2015 (Отредактировано Sep 21, 2024)
Имя Автора	Alan Chen